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DaVinci Resolve Mastery - The Ultimate Video Editing Bootcamp

Free Download DaVinci Resolve Mastery - The Ultimate Video Editing Bootcamp
Last updated 9/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 10.81 GB | Duration: 12h 6m
DaVinci Resolve: Learn Video Editing, Color Correction, Color Grading, Visual Effects in DaVinci Resolve latest versions

What you'll learn
Mastering DaVinci Resolve for Video Editing: A comprehensive guide from novice to expert
Quick and Efficient Video Editing using the Cut Page
Implementing OpenFX Effects to Elevate your Videos
Accurate Color Correction Techniques in DaVinci Resolve
Multi-tool Color Grading for Professional-looking Videos
Infusing Your Videos with Motion Graphics
Navigating Nodes in DaVinci Resolve: From Serial to Layer, Parallel, and Beyond
Practical Usage of Curves, Color Wheels, Qualifiers, Power Windows, Scopes, and more
Complete a full-scale project: From Importing Media, through Video Editing and Color Correction, to Color Grading with Motion and ResolveFX
Requirements
DaVinci Resolve the free copy. I'll show you how to download and Install your copy.
DaVinci Resolve requires Windows 10 or any Mac OS.
No Prior knowledge in DaVinci Resolve required.
No prior knowledge in Video Editing, Color Correction and Grading, Visual Effects or Motion is required. It's all covered in the Course.
A 1080p (at least) Screen Resolution is highly recommended to work in DaVinci Resolve and to preview the course.
I will provide you, free of charge, professionally shot videos to create your own project (from video editing to color correction and Grading)
Description
Hello there! I'm Louay, a seasoned instructor specializing in Premiere Pro, After Effects, Video Editing, and Motion Graphics courses, which are highly rated and bestselling.Today, I'm thrilled to introduce you to "DaVinci Resolve Mastery: The Ultimate Video Editing Bootcamp". This course offers hands-on projects and fast-track learning where you will master DaVinci resolve and learn how to edit with ease like a pro.DaVinci Resolve is a widely used, free professional video editing software, cherished by both amateurs and professionals. Its simplicity and user-friendly interface are coupled with robust tools, enabling you to produce high-quality video content.I've designed this course specifically with beginners in mind. If you're new to Video Editing or DaVinci Resolve, this is the perfect starting point. We'll begin at the very beginning, equipping you with the knowledge and skills to use Resolve proficiently and professionally for video editing, color correction, color grading, visual effects, and motion graphics.But don't worry if you already have some experience with editing - this course is still for you! If you're looking to upgrade your skills and learn how to use DaVinci Resolve at a professional level, you're in the right place. Plus, I've included a quick dive into the most crucial techniques in Resolve that I'm confident you'll find valuable.We will dive right in, creating your first video and enriching it with music, text, graphics, and a few transitions. There's no wasted time on irrelevant topics. Within half an hour, you'll be navigating DaVinci Resolve with confidence.Throughout the course, you'll learn everything from video editing, visual effects, motion graphics, to color correction & grading, and audio editing. Together, we'll produce a video from start to finish, allowing you to understand the entire process, from importing your video clips to the final stages of color correction and grading.I fully understand your eagerness to apply what you've learned right away. That's why I'm providing you with a complete set of over 100 sports/action-themed video footages. These materials will give you a great platform to practice and fine-tune your skills.In this DaVinci Resolve course, you will:Learn the concepts behind the workflow in DaVinci Resolve.Experience swift and effortless editing on the latest Cut Page in DaVinci Resolve.Learn to efficiently import and arrange your media, moving from Bins to Power Bins.Gain all the necessary skills for proficient video editing in the Edit Page.Jump right in and construct your inaugural short video - an exciting starting point.Explore diverse methods to piece together your video - ranging from insertions to exchanges.Execute meticulous edits on your clips, frame by frame.Engage in the fun of adjusting your clips' timing with speed graphs - both Slow Motion and Fast Motion.Become proficient in transitions and even create your own unique ones.Enhance your project with Graphics, Lower Thirds, and Titles, including the creation of an Intro and Outro.Delve into the advanced features of Fusion Text, Text+ and Rich TextApply and personalize Effects drawn from Resolve FX and Fusion FXAchieve flawless Color Correction - even with Log footage.Use Power Windows, Cloud and Point Trackers to accentuate features in your clips.Grasp and operate advanced tools like Curves, Qualifiers, Keys with precision.Embark on your Color Grading journey like a promising colorist and create impressive grades.Master sophisticated editing methods, including three-point edits, J-cuts, L-cuts, and beyond.And a top-notch learning experience with easy to follow video tutorialsPlus: The professionally shot videos will allow you to complete different projects and apply all the skills you acquired. Whether you aim to edit videos for your YouTube channel, create exciting videos for your family album, market your website through video content, start your career as a video editor, or simply want to create your first demo-reel, this course is tailored to your needs. I'm committed to your individual success and can't wait to see you in the course!Your journey from beginner to Advanced starts here in my Complete DaVinci Resolve Video Editing Course. Don't just take my word for it - here's what some of our students have to say:Gideon pepple: Honestly, I was very skeptical about getting the course but I am so glad I did. At various parts of the course I was like now I see how they did that. I also took notes so that was a huge bonus. If you're on the fence, I advice you take a leap and get the course. It's just awesome. Timothy Larson: I was pleasantly surprised at how well this course began. The pace is excellent and I learned useful things constantly even though I had done some work already, so this will help the speed and efficiency of my workflow.Joy Billel: I am new to DaVinci Resolve so the course is very insightful and helpful. I love that you've provided materials for your students to easily do the edits with you which make it so much easier to understand the features provided on the video editing software. Thank you!!! Marco Túlio Avila Santos: It's just exactly what I was searching for and needing! I'm a complete beginner in video editing with Resolve and I came from iMovie from Apple. This course is just a MUST HAVE for everyone that wants to start working with DaVinci Resolve AND video editing! Thank you so much!Dhiren Adatia: Thank you Louay. I have learnt to edit in DaVinci at a great level. I can import media, and edit clips to music as well as creating transitions and learning to add text. I've learnt to add music and cut to music, add effects and much more. Brilliant and well recommended course to anybody wanting to learn such a powerful editing software.The course guarantees your satisfaction. If you're not happy with your purchase, we offer a 30-day 100% money-back guarantee. So why wait?Enroll now, and let's start this creative journey together!Cheers Louay
Overview
Section 1: Welcome to Video editing in Davinci Resolve
Lecture 1 Welcome to Video Editing in DaVinci Resolve
Lecture 2 How to Download your Free Copy of the latest DaVinci Resolve
Lecture 3 Media, Practice and Demo-Reel
Lecture 4 Download your Media for your a Quick Start
Lecture 5 Launching DaVinci - New Project
Section 2: Quick and Easy - Video Editing Simplified in Davinci Resolve
Lecture 6 What will be covered within the Cut page
Lecture 7 How to Import your Media from within the Cut Page in DaVinci Resolve
Lecture 8 How to Preview Your Media in the Cut Page
Lecture 9 The source Tape Preview - an advanced preview method
Lecture 10 Create your First Rough Cut in the Cut Page
Lecture 11 The Cut Page Timelines
Lecture 12 Timeline vs Source - Trimming
Lecture 13 Refining your Cuts: It's an art work
Lecture 14 How to avoid losing your work
Lecture 15 Cut Page Editing: How to use the Smart Insert
Lecture 16 Cut Page Editing: How to Ripple Overwrite Edit
Lecture 17 Swapping and rearranging Clips - Lift and Insert
Lecture 18 **** Your Assignment - Practice Project
Lecture 19 Introducing The Inspector
Lecture 20 Previewing Transitions
Lecture 21 How to add Transitions in the Cut Page
Lecture 22 The Cross Dissolve Transition
Lecture 23 The Standard/Default Transition
Lecture 24 How to Customize Transitions
Lecture 25 How to Customize Fusion Transitions
Lecture 26 How to add Titles: An animated left Lower third
Lecture 27 Quick & Easy Fusion Titles
Lecture 28 Adding Audio in the Cut Page
Lecture 29 When the ripple does not ripple anymore
Lecture 30 Quick and Easy Export - Local Media Storage
Lecture 31 Quick and Easy Export - Create your first Video & Upload to Social Media
Lecture 32 **** Your Assignment - Complete project in the Cut Page
Section 3: Clip Tools in the Cut Page DaVinci Resolve
Lecture 33 The Cut Page Clip Tools Overview
Lecture 34 The Transform Tool (Create a PiP)
Lecture 35 How to Crop a clip
Lecture 36 How to use the Dynamic Zoom
Lecture 37 Composite Option
Lecture 38 The Speed tool with Clip Speed in the Cut Page
Lecture 39 Playing with Clip Speed from within the Cut Page
Lecture 40 Stabilizing Clips from within the Cut Page
Lecture 41 Auto Color Correct in the Cut Page
Lecture 42 The Audio Tool in the Cut Page
Lecture 43 **** Your Final Cut Page Assignment - Create a top notch video
Section 4: Media Page: Importing and Organizing your Media in Davinci Resolve
Lecture 44 Introduction to the Media Page
Lecture 45 Importing Your Media from the Media Page
Lecture 46 Advanced Media Import through Mapping your Drives and Folders
Lecture 47 Using Smart Bins in DaVinci Resolve
Lecture 48 Using Smart Bins for Timelines in DaVinci Resolve
Lecture 49 Speeding Up Playback in DaVinci Resolve with Smart Render
Lecture 50 Using proxy for more playback speed in DaVinci Resolve
Lecture 51 Exporting and Importing Projects in DaVinci Resolve
Lecture 52 Restoring Backups in DaVinci Resolve
Lecture 53 Relinking Media in DaVinci Resolve
Section 5: Application Essentials
Lecture 54 DaVinci Resolve Menu System Demystified
Lecture 55 Preferences & Customizing Keyboard Shortcuts in DaVinci Resolve
Section 6: Edit Page: Adding, Inserting and Moving Clips to the Timeline in Resolve
Lecture 56 Introduction to the Edit Page in DaVinci Resolve
Lecture 57 How to Create a New Timeline in DaVinci Resolve
Lecture 58 How to trim and add clips to your Timeline - The I/O Edit
Lecture 59 How to add clips to your Timeline - The Blade Edit
Lecture 60 How to add clips to your Timeline - Ripple Cut Edit
Lecture 61 Timeline Zooms & Previews
Lecture 62 How to Navigate the Timeline
Lecture 63 Performing Lift and Extract with Auto Select
Lecture 64 Performing Insert Edits with Track Selection
Lecture 65 Performing Overwrite Edits with track Selection
Lecture 66 Marking on the timeline
Lecture 67 Three (3) Point Edit - Overwrite
Lecture 68 Three (3) Point Edit - Insert
Lecture 69 How to Perform a Replace Edit
Lecture 70 How to Perform a Ripple Overwrite
Lecture 71 Copy/Paste and Insert Paste
Lecture 72 Performing a Lift & Insert
Lecture 73 How to swap clips on the timeline
Lecture 74 Selecting and Moving Contiguous Clips
Lecture 75 Tip: Match Frame & Find timeline clips in the Media Pool
Lecture 76 Tip: How to Add, Move, and Remove Tracks
Lecture 77 Tip: Extracting Overlapping Gaps
Section 7: Timeline Editing Techniques & Editing Tools
Lecture 78 The focus of this section - Modes vs Tools
Lecture 79 Media Pool Vs Timeline Clip
Lecture 80 The Concept of Handles
Lecture 81 How to edit Timeline Clips in the Source Monitor
Lecture 82 How to perform Basic Trim in the Selection Mode
Lecture 83 How to perform Basic Trims in the Trim Edit Mode
Lecture 84 DaVinci Resolve 19 - Refining your Cuts in the Edit Page
Lecture 85 How to perform an Extend Edit
Lecture 86 Nudge it with the right Point Type - Precision Triming
Lecture 87 How to perform a Roll Edit
Lecture 88 How to perform Slip Edits
Lecture 89 How to perform Slide Edits
Lecture 90 Combining the Edits - Examples of Fast Edits
Section 8: Dynamic Trimming (Advanced Editing Method)
Lecture 91 How to use JKL in the Timeline
Lecture 92 How to use the Dynamic Trim Mode with Selection Mode - Slow Motion Editing
Lecture 93 How to use the Dynamic Trim Mode with Trim Edit Mode
Lecture 94 How to do a Dynamic Slip / Slide
Section 9: Advanced Video Speed Effects and Retiming
Lecture 95 Retiming Clips - What you will learn in this section
Lecture 96 Importing the start project to follow along
Lecture 97 The Retime Controls
Lecture 98 How to Retime an Entire Clip - Retime Controls with FPS
Lecture 99 How to create a Freeze Frame Segment
Lecture 100 How to create variable speed on the same clip
Lecture 101 How to Create Variable Speed Effects and Freeze Frames In DaVinci Resolve
Lecture 102 Creating Rewinds and Reverse Playbacks in DaVinci Resolve
Lecture 103 The Curve Editor for Speed Variation in DaVinci Resolve
Lecture 104 Enhancing Video Speed Variations with the Curve Editor
Lecture 105 Retime Speed - Using Retime Curve
Lecture 106 Tip: How to create Smart Reversed Segment
Lecture 107 *** Your Assignment: Retiming Clips
Lecture 108 The Completed Retime Controls Project
Section 10: Advanced Transitions: Applying and Customizing Transitions
Lecture 109 Advanced Transitions: Applying and Customizing Transitions
Lecture 110 How to use the Video Faders
Lecture 111 How to use the Audio Faders
Lecture 112 How to use the Keyframe Editor to edit the Transition Curve
Lecture 113 How to use the Curve Editor to edit the Transition Curve
Lecture 114 Tip: How to Save a Transition Preset for re-use
Lecture 115 How Clip Handles affect Transitions
Lecture 116 *** Your Assignment: Add & Customize Transitions
Section 11: Advanced Transforms & Motion
Lecture 117 The Transforms and Motion you will learn
Lecture 118 Onscreen Transforms and Dynamic Zoom in DaVinci Resolve
Lecture 119 Creating Smooth Motion Paths with Onscreen Keyframes in DaVinci Resolve
Lecture 120 How to Copy and Paste Clip Attributes in DaVinci Resolve
Lecture 121 Your Assignment: Create an Intro for Your Video in DaVinci Resolve
Lecture 122 Your Assignment Tutorial : Create an Intro for your movie
Lecture 123 Tip: How to Compound Clips
Section 12: Advanced Text & Fusion Titles & Lower 3rd - Create, Customize and Animate
Lecture 124 Single and Multiple Line Rich Text Formatting
Lecture 125 Animating Rich Text in DaVinci Resolve: Techniques and Tips
Lecture 126 Scroll Text in DaVinci Resolve: Tips and Techniques
Lecture 127 Fusion Text/Text+ and the Write On
Lecture 128 Tip: Fusion Text: How to Roll and Scroll
Lecture 129 How to work with Fusion Titles & Lower Thirds
Lecture 130 Tip: Compositing Text - Text with Video Background
Section 13: Advanced Effects: Resolve & Fusion FX
Lecture 131 Effects: Fusion and Resolve FX
Lecture 132 Resolve Effects On Screen Controls
Lecture 133 Applying, Customizing and Animating ResolveFX - Light Rays
Lecture 134 How to use the Adjustment Clip
Section 14: The Color Page and the Concept of Nodes
Lecture 135 Create the Color Correction Timeline
Lecture 136 The Ins and Outs of the Color Page
Lecture 137 The Concept of Nodes
Lecture 138 Working with Nodes
Section 15: Beginner's Color Concepts & Definitions
Lecture 139 Color Correction vs Color Grading
Lecture 140 The 3 Main Ranges - Highlights - Midtones - Shadows
Lecture 141 What are Scopes?
Lecture 142 How to read the Scopes
Section 16: Achieving perfect Color Correction with the Primaries
Lecture 143 The Primaries - Wheels
Lecture 144 The Primaries - Bars
Lecture 145 How to work with the Contrast
Lecture 146 The Shadows and Highlights Controls
Lecture 147 Main properties for Colors
Lecture 148 The Auto Color Correct options
Lecture 149 The Primaries - The Log Wheels
Section 17: Copying & Duplicating Nodes - Color Correction & Grading
Lecture 150 The easy methods to copy grades
Lecture 151 Copying nodes with attributes
Lecture 152 Creating and Grading Groups and Timeline Nodes
Lecture 153 Working with shared Nodes
Lecture 154 Comparing Grading on multiple clips
Section 18: Overview - The Color Grading Tools
Lecture 155 The different tools to color grade and secondary color correction
Section 19: Color Grading Tools - RGB Curves
Lecture 156 How to work with the Custom Curves
Lecture 157 How to add and work with anchors
Lecture 158 The Red Green Blue and Luma Curves
Lecture 159 How to work with Hue vs Hue Curve
Lecture 160 How to work Hue vs Sat Curve
Lecture 161 How to work Hue vs Luma Curve
Lecture 162 How to work Sat vs Sat Curve
Section 20: Color Grading Tools - ColorSlice
Lecture 163 The Color Slice - An Overview
Lecture 164 Color Slice - Global Density - Saturation - Hue
Lecture 165 Working with the Color Slice
Section 21: Color Grading Tools - Color Warper
Lecture 166 Overview of the Color Warper - Hue - Saturation
Lecture 167 The Color Warper - Working with Saturation
Lecture 168 The Color Warper - Working with Hues
Lecture 169 How Pin and Re-pin points
Lecture 170 Using the Point Picker
Lecture 171 An overview of the tools
Lecture 172 The Color Warper - Chroma - Luma
Section 22: Color Grading Tools - Qualifiers
Lecture 173 What are Qualifiers and Different Types of Qualifiers
Lecture 174 The HSL Qualifiers - Selecting the Colors
Lecture 175 The HSL Qualifiers - Refining the Matte
Lecture 176 The HSL Qualifier - Grading and Secondary color correction
Lecture 177 Working with Outside nodes
Lecture 178 Just a note: How to compound Nodes
Lecture 179 The RGB Qualifiers
Lecture 180 The LUMA Qualifiers
Lecture 181 The 3D Qualifier + Green Screen
Lecture 182 Your Assignment: Change the eyes color
Lecture 183 Assignment Solution
Section 23: Power Windows & Color Correction
Lecture 184 All about power windows
Lecture 185 Introduction to Windows
Lecture 186 Color Correction with Power Window
Lecture 187 Adding a Gradient Window
Lecture 188 How to color Correct Over and Under Exposed Frame
Lecture 189 Your Assignment: Color Correct and Grade
Section 24: Controlling the Video
Lecture 190 Controlling the Video - Your learning take away from this section
Lecture 191 Download your Media to work in this section
Lecture 192 Stabilizing Shaky footage
Lecture 193 Tracking Power Windows
Lecture 194 Point Tracking
Lecture 195 The Blur Tab
Lecture 196 The Sizing Tab
Section 25: Color Grading Workflow Techniques - LUTs and More
Lecture 197 Primary and Secondary Colors
Lecture 198 How to Apply LUTs to Nodes and Clips - The Key Tab and Node Opacity
Lecture 199 How to Create and Apply Project's LUTs
Lecture 200 How to Copy Grades from one Clip to Another
Lecture 201 Grabbing Stills & Working in the Gallery
Lecture 202 How to Compare Shots for better Color Grading
Section 26: Complete, Color Correct and Grade your Project
Lecture 203 Complete the Video Editing
Lecture 204 Color Correct properly all the clips
Lecture 205 Color Grade all your Clips
Lecture 206 Use the the Deliver tab to Render
Section 27: Optimizing Your Media
Lecture 207 How to optimize your media for faster previews
Section 28: Bonus
Lecture 208 Bonus: Your Next Step
DaVinci Resolve Newbies: Dive in and discover the basics of video editing and color grading.,Novices in Video Editing and Color Grading: Not only will you grasp how to edit videos and color grade, but you'll also learn much more.,Advanced Video Editors keen to master DaVinci Resolve: Whether it's for video editing or color grading, we've got you covered.,Future Video Editors: Master an array of video editing techniques in DaVinci Resolve.,Aspiring Colorists: Gain comprehensive knowledge on color correction/grading using DaVinci Resolve.


Homepage

https://www.udemy.com/course/davinci-resolve-training-course/

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Daily English Level 3 - Part 1

Free Download Daily English Level 3 - Part 1
Published 10/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 9m | Size: 560 MB
Daily English Level 3 - Part 1

What you'll learn
Expand Vocabulary: Learners will acquire and use advanced vocabulary relevant to everyday situations.
Enhance Listening Skills: Learners will improve their ability to understand native English speakers in various contexts.
Refine Grammar and Sentence Structure
Develop Fluency in Speaking
Requirements
Skills Required: Basic understanding of simple sentence structures, common vocabulary, and basic conversational ability.
Device and Internet Access Device: A computer, laptop, tablet, or smartphone that can access course materials. Internet: A stable internet connection to stream videos, access interactive exercises, and participate in live sessions or discussions.
Software and Tools Browser: A modern web browser (e.g., Chrome, Firefox, Safari) that supports the course platform.
Basic Digital Literacy Skills: Familiarity with navigating online platforms, submitting assignments, and participating in online discussions or quizzes.
Commitment to Regular Participation Time Management: A commitment to setting aside regular study time (e.g., 3-5 hours per week) to engage with course materials, complete assignments
Description
Welcome to Daily English Level 3 - Part OneAre you dreaming of studying at an English-speaking university? Do you want to get a better job or a promotion? Or maybe you just want to travel and connect with people from around the world. Learning English can open so many doors for you.In this course we will be learning all about the below topics where you will also have the opportunity to improve your reading, writing, speaking, and listening skills.* Greetings and Introductions* Weekend Plans* Family* Relatives* New Neighbors* Jobs * It's SummertimeMy course focuses on practical skills that you can use in real-life situations. You'll practice speaking in everyday conversations, writing emails and essays, and understanding different accents and contexts. This hands-on approach ensures you're not just learning English, but using it confidently and effectively.Don't wait any longer to start your journey to fluency. Enroll in our English language course today and take the first step towards a brighter future..We also offer a communication section where you will be privileged to speak directly with me so that I can help you better with your understanding in the English Language.I look forward to helping you on this English Journey
Who this course is for
Intermediate English Learners (A2-B1 CEFR) Who: Learners who already have a basic understanding of English and can handle everyday conversations but wish to improve their fluency and confidence in speaking, listening, reading, and writing. What: They should be able to communicate in simple situations but may still struggle with more complex language tasks or nuanced conversations.
Non-Native English Speakers in Work Environments Who: Adults working in international settings or in professions that require regular communication in English, such as customer service, sales, hospitality, and office jobs. What: These learners aim to improve their ability to express ideas clearly and effectively in both casual and professional settings, including writing emails, giving presentations, and participating in meetings.
Travel Enthusiasts and Expats Who: People planning to live, work, or travel in English-speaking countries who want to develop practical language skills for day-to-day interactions. What: They need to be able to navigate everyday situations, such as ordering food, asking for directions, making small talk, and handling common transactions in English-speaking environments.
Online Language Learners Seeking Flexibility Who: Busy professionals, students, or stay-at-home individuals who want to improve their English skills at their own pace and on their own schedule. What: They seek a flexible, self-paced course that they can fit into their busy routines and that allows them to practice English in a practical, daily context.
Homepage

https://www.udemy.com/course/daily-english-level-3-part-1/

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Data Analytics Guide with Microsoft Excel and ChatGPT

Free Download Data Analytics Guide with Microsoft Excel and ChatGPT
Published 10/2024
Created by Being Commerce,Being Commerce
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 48 Lectures ( 14h 32m ) | Size: 8.21 GB

Master Data Analytics with Microsoft Excel and ChatGPT: Unleash the Power of Data!
What you'll learn
Understanding data analytics fundamentals.
Navigating Microsoft Excel for data-related tasks.
Learning basic and advanced Excel functions.
Data cleaning, sorting, and filtering.
How to use Excel's Power Query Editor for data transformation.
Mastering Pivot Tables for visualization.
Automating data processes using ChatGPT.
Using logical operators and nested formulas.
Creating professional data reports.
Applying data aggregation and text functions.
Real-world case studies for practical learning.
Requirements
A computer with Microsoft Excel installed.
Basic computer literacy.
No prior data analytics or Excel experience is required.
Description
Welcome to "Data Analytics Guide with Microsoft Excel and ChatGPT"! This course is designed to transform your understanding of data analytics, even if you have no prior experience. Data is the new gold, and knowing how to analyze it can elevate your professional and personal life. With this course, you will become a master of data analytics using Microsoft Excel, one of the most powerful and widely-used tools in the industry.Why this course stands out is its unique integration of Microsoft Excel with AI technology, specifically ChatGPT. Whether you're a beginner or someone looking to sharpen your skills, this course is structured in a way that ensures you're comfortable while learning. Imagine having the power of Excel, combined with AI-driven insights and formulas from ChatGPT, to analyze and manipulate data like never before!This course starts from the very basics, making it perfect for those with little to no experience in Excel. You will begin by understanding what data analytics is and why it's critical in today's business world. From there, you'll be guided step-by-step through mastering Excel's core functions, data cleaning, and formula application. Throughout the journey, ChatGPT will be introduced to show you how to automate and streamline your workflow, making your data analysis faster, more efficient, and precise.Data Analytics is not just a technical skill, but an essential one that opens doors to countless opportunities. Every business, organization, and entrepreneur relies on data-driven decisions to stay competitive, and you can be at the forefront of that decision-making. If you skip this course, you risk falling behind in a world where data literacy is no longer a choice, but a necessity. Don't let that happen. Enroll today and become a data expert, confident in your ability to deliver impactful insights and make smarter decisions.
Who this course is for
Beginners wanting to learn data analytics from scratch.
Professionals looking to boost their career by adding data analytics to their skill set.
Small business owners and entrepreneurs who want to make data-driven decisions.
Students interested in learning how to work with Excel efficiently.
Anyone who wants to automate data processes using AI tools like ChatGPT.
Homepage

https://www.udemy.com/course/data-analytics-guide-with-microsoft-excel-and-chatgpt/

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Data Cleaning using pandas and pyspan

Free Download Data Cleaning using pandas and pyspan
Published 10/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 57m | Size: 357 MB
Master Data Cleaning with pandas and pyspan: Essential Techniques for Clean, Accurate, and Ready-to-Use Datasets

What you'll learn
Recognize opportunities for data cleaning and prepare your dataset for the cleaning process.
Implement common data cleaning steps such as handle missing values and formatting date/time columns.
Understand and implement complex data cleaning tasks such as outlier removal and splitting/creating new columns.
Develop and apply custom data transformation techniques to standardize and enhance dataset quality.
Requirements
Basic understanding of Python programming.
Understanding of using basic libraries like Pandas.
A computer with internet access.
Description
Master the essential techniques of data cleaning with pandas and pyspan in Python! This beginner-friendly course will help you transform messy, raw data into clean, ready-to-use datasets for analysis. Data cleaning is a crucial first step in any data project, and in this course, you'll learn practical skills to tackle common data issues.You'll learn how to:Handle missing data effectively.Detect and remove outliers.Format and organize data for better clarity.Simplify your data cleaning process using pyspan.We'll start with a simple dataset, introducing basic data cleaning techniques step by step. By the end of the course, you'll have a solid foundation in using Python's pandas and pyspan libraries to clean and prepare data.No prior data cleaning experience is required, but basic knowledge of Python is helpful. This course is perfect for beginners, aspiring data analysts, or anyone looking to improve their data preparation skills.Throughout the course, you'll work on practical exercises that will help you apply the techniques you learn in real-world scenarios. By completing this course, you'll be ready to clean and prepare datasets for analysis with confidence. Whether you're entering the field of data analysis or just want to level up your Python skills, this course will provide the essential foundation you need.
Who this course is for
This course is designed for anyone working with data, including data analysts, data scientists, and aspiring professionals looking to enhance their data cleaning skills. If you frequently handle messy datasets and want to streamline your data preparation process using Python, this course will be especially valuable. It's also ideal for students and beginners with basic Python knowledge who are eager to master Pandas and Pyspan for data cleaning tasks. Whether you're in the tech industry or just starting your data journey, this course will equip you with essential skills.
Homepage

https://www.udemy.com/course/data-cleaning-using-pandas-and-pyspan/

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Data Denormalization In Modern System Design

Free Download Data Denormalization In Modern System Design
Published 10/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 626.80 MB | Duration: 0h 37m
The myth of normalization and how denormalized views powered by event driven or batch processing architecture can help

What you'll learn
What is a normalized dataset
Where normalization falls short and why is normalization a myth
The concept of denormalized views
How to implement denormalized views with event driven (streaming) workflows
The pitfalls of event driven (streaming) replication to your denormalized view
How to implement denormalized views with batch processing workflows
The pitfalls of batch processing replication to your denormalized view
Tradeoffs of denormalized views
When should you really consider denormalized views
Gain a new perspective in your existing microservice architecture
Requirements
High level understanding of backend system design
High level understanding of databases
High level understanding of microservice architecture and distributed systems
Description
We will dive deep into the cutting-edge world of modern database and software engineering, where traditional data normalization is increasingly giving way to more powerful techniques: denormalized views.Whether you're struggling with slow queries, high latency, or scaling data for millions of users, this series will teach you how to harness the true potential of denormalized views.We'll break down complex concepts in simple terms, showing you how modern views replicate and transform data for specific use cases, reduce the need for real-time processing, and improve overall performance. We'll cover how to implement such denormalization process, from using event-driven architecture to using batch processing instead and materialized views. We'll talk about denormalization techniques, and how to map and handle all of the many edge cases they will bring about.In this course, I want to challenge the way we think about databases and system design. In the past, normalization -structuring data into its smallest parts, and forbidding data duplication- was the golden rule for optimizing databases. But nowadays things have changed. When we're dealing with massive amounts of data, oftentimes normalization can actually slow us down.What if there was another approach? I'll show how effective denormalization of your data to what I call "denormalized views" can help provide an alternative solution to complete normalization. We'll demonstrate how replicating your data in a new denormalized format, designed for fast read access for a specific use case, can help you solve a new class of problem you weren't able to serve before because of performance reasons. Perhaps this is about a specific process in your organisation that is taking increasingly longer and more resources to be scaled and that needs to be rethought as soon as possible. Perhaps a new feature request that your team wasn't able to prioritize because there was no known solution to the problem at hand. Either way, this approach to system design is potentially one solution to your problems.Whether you're a backend engineer, system architect, or just someone curious about database performance, this series will arm you with the knowledge to design faster, more scalable, and more reliable systems. Learn how today's largest platforms - from Netflix to Facebook - use these principles to handle massive data volumes and power seamless user experiences.
Overview
Section 1: Normalization and its tradeoffs
Lecture 1 The Myth of Normalization
Lecture 2 What is Normalization? What are its tradeoffs?
Section 2: What are Denormalized Views?
Lecture 3 The Denormalized View Concept
Lecture 4 Caching Denormalized views
Section 3: Implementing Denormalized Views
Lecture 5 Implementing Denormalized Views Replication Workflows
Lecture 6 The complexities of Batch Processing
Lecture 7 The complexities of Event-Driven Workflows
Section 4: Tradeoffs and conclusion
Lecture 8 Trade-offs and Conclusion
Section 5: Examination
Junior to Senior Software engineers with some professional experience in backend software engineering,Senior+ software engineers looking to challenge their views on distributed systems
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Homepage

https://www.udemy.com/course/data-denormalization-in-modern-system-design/

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Data Engineering on Azure, Video Edition

Free Download Data Engineering on Azure, Video Edition
Released 8/2021
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 8h 13m | Size: 1.2 GB
Build a data platform to the industry-leading standards set by Microsoft's own infrastructure.

In Data Engineering on Azure you will learn how to
Pick the right Azure services for different data scenarios
Manage data inventory
Implement production quality data modeling, analytics, and machine learning workloads
Handle data governance
Using DevOps to increase reliability
Ingesting, storing, and distributing data
Apply best practices for compliance and access control
Data Engineering on Azure reveals the data management patterns and techniques that support Microsoft's own massive data infrastructure. Author Vlad Riscutia, a data engineer at Microsoft, teaches you to bring an engineering rigor to your data platform and ensure that your data prototypes function just as well under the pressures of production. You'll implement common data modeling patterns, stand up cloud-native data platforms on Azure, and get to grips with DevOps for both analytics and machine learning.
About the Technology
Build secure, stable data platforms that can scale to loads of any size. When a project moves from the lab into production, you need confidence that it can stand up to real-world challenges. This book teaches you to design and implement cloud-based data infrastructure that you can easily monitor, scale, and modify.
About the Book
In Data Engineering on Azure you'll learn the skills you need to build and maintain big data platforms in massive enterprises. This invaluable guide includes clear, practical guidance for setting up infrastructure, orchestration, workloads, and governance. As you go, you'll set up efficient machine learning pipelines, and then master time-saving automation and DevOps solutions. The Azure-based examples are easy to reproduce on other cloud platforms.
What's Inside
Data inventory and data governance
Assure data quality, compliance, and distribution
Build automated pipelines to increase reliability
Ingest, store, and distribute data
Production-quality data modeling, analytics, and machine learning
About the Reader
For data engineers familiar with cloud computing and DevOps.
About the Author
Vlad Riscutia is a software architect at Microsoft.
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Data Engineering using AWS Data Analytics

Free Download Data Engineering using AWS Data Analytics
Last updated 2/2023
Created by Durga Viswanatha Raju Gadiraju,Pratik Kumar,Sathvika Dandu,Madhuri Gadiraju,Sai Varma,Phani Bhushan Bozzam
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + subtitle | Duration: 434 Lectures ( 26h 15m ) | Size: 7.77 GB

Build Data Engineering Pipelines on AWS using Data Analytics Services - Glue, EMR, Athena, Kinesis, Lambda, Redshift
What you'll learn
Data Engineering leveraging Services under AWS Data Analytics
AWS Essentials such as s3, IAM, EC2, etc
Understanding AWS s3 for cloud based storage
Understanding details related to virtual machines on AWS known as EC2
Managing AWS IAM users, groups, roles and policies for RBAC (Role Based Access Control)
Managing Tables using AWS Glue Catalog
Engineering Batch Data Pipelines using AWS Glue Jobs
Orchestrating Batch Data Pipelines using AWS Glue Workflows
Running Queries using AWS Athena - Server less query engine service
Using AWS Elastic Map Reduce (EMR) Clusters for building Data Pipelines
Using AWS Elastic Map Reduce (EMR) Clusters for reports and dashboards
Data Ingestion using AWS Lambda Functions
Scheduling using AWS Events Bridge
Engineering Streaming Pipelines using AWS Kinesis
Streaming Web Server logs using AWS Kinesis Firehose
Overview of data processing using AWS Athena
Running AWS Athena queries or commands using CLI
Running AWS Athena queries using Python boto3
Creating AWS Redshift Cluster, Create tables and perform CRUD Operations
Copy data from s3 to AWS Redshift Tables
Understanding Distribution Styles and creating tables using Distkeys
Running queries on external RDBMS Tables using AWS Redshift Federated Queries
Running queries on Glue or Athena Catalog tables using AWS Redshift Spectrum
Requirements
A Computer with at least 8 GB RAM
Programming Experience using Python is highly desired as some of the topics are demonstrated using Python
SQL Experience is highly desired as some of the topics are demonstrated using SQL
Nice to have Data Engineering Experience using Pandas or Pyspark
This course is ideal for experienced data engineers to add AWS Analytics Services as key skills to their profile
Description
Data Engineering is all about building Data Pipelines to get data from multiple sources into Data Lakes or Data Warehouses and then from Data Lakes or Data Warehouses to downstream systems. As part of this course, I will walk you through how to build Data Engineering Pipelines using AWS Data Analytics Stack. It includes services such as Glue, Elastic Map Reduce (EMR), Lambda Functions, Athena, EMR, Kinesis, and many more.Here are the high-level steps which you will follow as part of the course.Setup Development EnvironmentGetting Started with AWSStorage - All about AWS s3 (Simple Storage Service)User Level Security - Managing Users, Roles, and Policies using IAMInfrastructure - AWS EC2 (Elastic Cloud Compute)Data Ingestion using AWS Lambda FunctionsOverview of AWS Glue ComponentsSetup Spark History Server for AWS Glue JobsDeep Dive into AWS Glue CatalogExploring AWS Glue Job APIsAWS Glue Job BookmarksDevelopment Life Cycle of PysparkGetting Started with AWS EMRDeploying Spark Applications using AWS EMRStreaming Pipeline using AWS KinesisConsuming Data from AWS s3 using boto3 ingested using AWS KinesisPopulating GitHub Data to AWS DynamodbOverview of Amazon AWS AthenaAmazon AWS Athena using AWS CLIAmazon AWS Athena using Python boto3Getting Started with Amazon AWS RedshiftCopy Data from AWS s3 into AWS Redshift TablesDevelop Applications using AWS Redshift ClusterAWS Redshift Tables with Distkeys and SortkeysAWS Redshift Federated Queries and SpectrumHere are the details about what you will be learning as part of this course. We will cover most of the commonly used services with hands-on practice which are available under AWS Data Analytics.Getting Started with AWSAs part of this section, you will be going through the details related to getting started with AWS.Introduction - AWS Getting StartedCreate s3 BucketCreate AWS IAM Group and AWS IAM User to have required access on s3 Bucket and other servicesOverview of AWS IAM RolesCreate and Attach Custom AWS IAM Policy to both AWS IAM Groups as well as UsersConfigure and Validate AWS CLI to access AWS Services using AWS CLI CommandsStorage - All about AWS s3 (Simple Storage Service)AWS s3 is one of the most prominent fully managed AWS services. All IT professionals who would like to work on AWS should be familiar with it. We will get into quite a few common features related to AWS s3 in this section.Getting Started with AWS S3Setup Data Set locally to upload to AWS s3Adding AWS S3 Buckets and Managing Objects (files and folders) in AWS s3 bucketsVersion Control for AWS S3 BucketsCross-Region Replication for AWS S3 BucketsOverview of AWS S3 Storage ClassesOverview of AWS S3 GlacierManaging AWS S3 using AWS CLI CommandsManaging Objects in AWS S3 using CLI - LabUser Level Security - Managing Users, Roles, and Policies using IAMOnce you start working on AWS, you need to understand the permissions you have as a non-admin user. As part of this section, you will understand the details related to AWS IAM users, groups, roles as well as policies.Creating AWS IAM UsersLogging into AWS Management Console using AWS IAM UserValidate Programmatic Access to AWS IAM UserAWS IAM Identity-based PoliciesManaging AWS IAM GroupsManaging AWS IAM RolesOverview of Custom AWS IAM PoliciesManaging AWS IAM users, groups, roles as well as policies using AWS CLI CommandsInfrastructure - AWS EC2 (Elastic Cloud Compute) BasicsAWS EC2 Instances are nothing but virtual machines on AWS. As part of this section, we will go through some of the basics related to AWS EC2 Basics.Getting Started with AWS EC2Create AWS EC2 Key PairLaunch AWS EC2 InstanceConnecting to AWS EC2 InstanceAWS EC2 Security Groups BasicsAWS EC2 Public and Private IP AddressesAWS EC2 Life CycleAllocating and Assigning AWS Elastic IP AddressManaging AWS EC2 Using AWS CLIUpgrade or Downgrade AWS EC2 InstancesInfrastructure - AWS EC2 AdvancedIn this section, we will continue with AWS EC2 to understand how we can manage EC2 instances using AWS Commands and also how to install additional OS modules leveraging bootstrap scripts.Getting Started with AWS EC2Understanding AWS EC2 MetadataQuerying on AWS EC2 MetadataFitering on AWS EC2 MetadataUsing Bootstrapping Scripts with AWS EC2 Instances to install additional softwares on AWS EC2 instancesCreate an AWS AMI using AWS EC2 InstancesValidate AWS AMI - LabData Ingestion using Lambda FunctionsAWS Lambda functions are nothing but serverless functions. In this section, we will understand how we can develop and deploy Lambda functions using Python as a programming language. We will also see how to maintain a bookmark or checkpoint using s3.Hello World using AWS LambdaSetup Project for local development of AWS Lambda FunctionsDeploy Project to AWS Lambda consoleDevelop download functionality using requests for AWS Lambda FunctionsUsing 3rd party libraries in AWS Lambda FunctionsValidating AWS s3 access for local development of AWS Lambda FunctionsDevelop upload functionality to s3 using AWS Lambda FunctionsValidating AWS Lambda Functions using AWS Lambda ConsoleRun AWS Lambda Functions using AWS Lambda ConsoleValidating files incrementally downloaded using AWS Lambda FunctionsReading and Writing Bookmark to s3 using AWS Lambda FunctionsMaintaining Bookmark on s3 using AWS Lambda FunctionsReview the incremental upload logic developed using AWS Lambda FunctionsDeploying AWS Lambda FunctionsSchedule AWS Lambda Functions using AWS Event BridgeOverview of AWS Glue ComponentsIn this section, we will get a broad overview of all important Glue Components such as Glue Crawler, Glue Databases, Glue Tables, etc. We will also understand how to validate Glue tables using AWS Athena. AWS Glue (especially Glue Catalog) is one of the key components in the realm of AWS Data Analytics Services.Introduction - Overview of AWS Glue ComponentsCreate AWS Glue Crawler and AWS Glue Catalog Database as well as TableAnalyze Data using AWS AthenaCreating AWS S3 Bucket and Role to create AWS Glue Catalog Tables using Crawler on the s3 locationCreate and Run the AWS Glue Job to process data in AWS Glue Catalog TablesValidate using AWS Glue Catalog Table and by running queries using AWS AthenaCreate and Run AWS Glue TriggerCreate AWS Glue WorkflowRun AWS Glue Workflow and ValidateSetup Spark History Server for AWS Glue JobsAWS Glue uses Apache Spark under the hood to process the data. It is important we setup Spark History Server for AWS Glue Jobs to troubleshoot any issues.Introduction - Spark History Server for AWS GlueSetup Spark History Server on AWSClone AWS Glue Samples repositoryBuild AWS Glue Spark UI ContainerUpdate AWS IAM Policy PermissionsStart AWS Glue Spark UI ContainerDeep Dive into AWS Glue CatalogAWS Glue has several components, but the most important ones are nothing but AWS Glue Crawlers, Databases as well as Catalog Tables. In this section, we will go through some of the most important and commonly used features of the AWS Glue Catalog.Prerequisites for AWS Glue Catalog TablesSteps for Creating AWS Glue Catalog TablesDownload Data Set to use to create AWS Glue Catalog TablesUpload data to s3 to crawl using AWS Glue Crawler to create required AWS Glue Catalog TablesCreate AWS Glue Catalog Database - itvghlandingdbCreate AWS Glue Catalog Table - ghactivityRunning Queries using AWS Athena - ghactivityCrawling Multiple Folders using AWS Glue CrawlersManaging AWS Glue Catalog using AWS CLIManaging AWS Glue Catalog using Python Boto3Exploring AWS Glue Job APIsOnce we deploy AWS Glue jobs, we can manage them using AWS Glue Job APIs. In this section we will get overview of AWS Glue Job APIs to run and manage the jobs.Update AWS IAM Role for AWS Glue JobGenerate baseline AWS Glue JobRunning baseline AWS Glue JobAWS Glue Script for Partitioning DataValidating using AWS AthenaUnderstanding AWS Glue Job BookmarksAWS Glue Job Bookmarks can be leveraged to maintain the bookmarks or checkpoints for incremental loads. In this section, we will go through the details related to AWS Glue Job Bookmarks.Introduction to AWS Glue Job BookmarksCleaning up the data to run AWS Glue JobsOverview of AWS Glue CLI and CommandsRun AWS Glue Job using AWS Glue BookmarkValidate AWS Glue Bookmark using AWS CLIAdd new data to the landing zone to run AWS Glue Jobs using BookmarksRerun AWS Glue Job using BookmarkValidate AWS Glue Job Bookmark and Files for Incremental runRecrawl the AWS Glue Catalog Table using AWS CLI CommandsRun AWS Athena Queries for Data ValidationDevelopment Lifecycle for PysparkIn this section, we will focus on the development of Spark applications using Pyspark. We will use this application later while exploring EMR in detail.Setup Virtual Environment and Install PysparkGetting Started with PycharmPassing Run Time ArgumentsAccessing OS Environment VariablesGetting Started with SparkCreate Function for Spark SessionSetup Sample DataRead data from filesProcess data using Spark APIsWrite data to filesValidating Writing Data to FilesProductionizing the CodeGetting Started with AWS EMR (Elastic Map Reduce)As part of this section, we will understand how to get started with AWS EMR Cluster. We will primarily focus on AWS EMR Web Console. Elastic Map Reduce is one of the key service in AWS Data Analytics Services which provide capability to run applications which process large scale data leveraging distributed computing frameworks such as Spark.Planning for AWS EMR ClusterCreate AWS EC2 Key Pair for AWS EMR ClusterSetup AWS EMR Cluster with Apache SparkUnderstanding Summary of AWS EMR ClusterReview AWS EMR Cluster Application User InterfacesReview AWS EMR Cluster MonitoringReview AWS EMR Cluster Hardware and Cluster Scaling PolicyReview AWS EMR Cluster ConfigurationsReview AWS EMR Cluster EventsReview AWS EMR Cluster StepsReview AWS EMR Cluster Bootstrap ActionsConnecting to AWS EMR Master Node using SSHDisabling Termination Protection for AWS EMR Cluster and Terminating the AWS EMR ClusterClone and Create a New AWS EMR ClusterListing AWS S3 Buckets and Objects using AWS CLI on AWS EMR ClusterListing AWS S3 Buckets and Objects using HDFS CLI on AWS EMR ClusterManaging Files in AWS S3 using HDFS CLI on AWS EMR ClusterReview AWS Glue Catalog Databases and TablesAccessing AWS Glue Catalog Databases and Tables using AWS EMR ClusterAccessing spark-sql CLI of AWS EMR ClusterAccessing pyspark CLI of AWS EMR ClusterAccessing spark-shell CLI of AWS EMR ClusterCreate AWS EMR Cluster for NotebooksDeploying Spark Applications using AWS EMRAs part of this section, we will understand how we typically deploy Spark Applications using AWS EMR. We will be using the Spark Application we deployed earlier.Deploying Applications using AWS EMR - IntroductionSetup AWS EMR Cluster to deploy applicationsValidate SSH Connectivity to Master node of AWS EMR ClusterSetup Jupyter Notebook Environment on AWS EMR ClusterCreate required AWS s3 Bucket for AWS EMR ClusterUpload GHActivity Data to s3 so that we can process using Spark Application deployed on AWS EMR ClusterValidate Application using AWS EMR Compatible Versions of Python and SparkDeploy Spark Application to AWS EMR Master NodeCreate user space for ec2-user on AWS EMR ClusterRun Spark Application using spark-submit on AWS EMR Master NodeValidate Data using Jupyter Notebooks on AWS EMR ClusterClone and Start Auto Terminated AWS EMR ClusterDelete Data Populated by GHAcitivity Application using AWS EMR ClusterDifferences between Spark Client and Cluster Deployment Modes on AWS EMR ClusterRunning Spark Application using Cluster Mode on AWS EMR ClusterOverview of Adding Pyspark Application as Step to AWS EMR ClusterDeploy Spark Application to AWS S3 to run using AWS EMR StepsRunning Spark Applications as AWS EMR Steps in client modeRunning Spark Applications as AWS EMR Steps in cluster modeValidate AWS EMR Step Execution of Spark ApplicationStreaming Data Ingestion Pipeline using AWS KinesisAs part of this section, we will go through details related to the streaming data ingestion pipeline using AWS Kinesis which is a streaming service of AWS Data Analytics Services. We will use AWS Kinesis Firehose Agent and AWS Kinesis Delivery Stream to read the data from log files and ingest it into AWS s3.Building Streaming Pipeline using AWS Kinesis Firehose Agent and Delivery StreamRotating Logs so that the files are created frequently which will be eventually ingested using AWS Kinesis Firehose Agent and AWS Kinesis Firehose Delivery StreamSet up AWS Kinesis Firehose Agent to get data from logs into AWS Kinesis Delivery Stream.Create AWS Kinesis Firehose Delivery StreamPlanning the Pipeline to ingest data into s3 using AWS Kinesis Delivery StreamCreate AWS IAM Group and User for Streaming Pipelines using AWS Kinesis ComponentsGranting Permissions to AWS IAM User using Policy for Streaming Pipelines using AWS Kinesis ComponentsConfigure AWS Kinesis Firehose Agent to read the data from log files and ingest it into AWS Kinesis Firehose Delivery Stream.Start and Validate AWS Kinesis Firehose AgentConclusion - Building Simple Steaming Pipeline using AWS Kinesis FirehoseConsuming Data from AWS s3 using Python boto3 ingested using AWS KinesisAs data is ingested into AWS S3, we will understand how data can ingested in AWS s3 can be processed using boto3.Customizing AWS s3 folder using AWS Kinesis Delivery StreamCreate AWS IAM Policy to read from AWS s3 BucketValidate AWS s3 access using AWS CLISetup Python Virtual Environment to explore boto3Validating access to AWS s3 using Python boto3Read Content from AWS s3 objectRead multiple AWS s3 ObjectsGet the number of AWS s3 Objects using MarkerGet the size of AWS s3 Objects using MarkerPopulating GitHub Data to AWS DynamodbAs part of this section, we will understand how we can populate data to AWS Dynamodb tables using Python as a programming language.Install required libraries to get GitHub Data to AWS Dynamodb tables.Understanding GitHub APIsSetting up GitHub API TokenUnderstanding GitHub Rate LimitCreate New Repository for sinceExtracting Required Information using PythonProcessing Data using PythonGrant Permissions to create AWS dynamodb tables using boto3Create AWS Dynamodb TablesAWS Dynamodb CRUD OperationsPopulate AWS Dynamodb TableAWS Dynamodb Batch OperationsOverview of Amazon AWS AthenaAs part of this section, we will understand how to get started with AWS Athena using AWS Web console. We will also focus on basic DDL and DML or CRUD Operations using AWS Athena Query Editor.Getting Started with Amazon AWS AthenaQuick Recap of AWS Glue Catalog Databases and TablesAccess AWS Glue Catalog Databases and Tables using AWS Athena Query EditorCreate a Database and Table using AWS AthenaPopulate Data into Table using AWS AthenaUsing CTAS to create tables using AWS AthenaOverview of Amazon AWS Athena ArchitectureAmazon AWS Athena Resources and relationship with HiveCreate a Partitioned Table using AWS AthenaDevelop Query for Partitioned ColumnInsert into Partitioned Tables using AWS AthenaValidate Data Partitioning using AWS AthenaDrop AWS Athena Tables and Delete Data FilesDrop Partitioned Table using AWS AthenaData Partitioning in AWS Athena using CTASAmazon AWS Athena using AWS CLIAs part of this section, we will understand how to interact with AWS Athena using AWS CLI Commands.Amazon AWS Athena using AWS CLI - IntroductionGet help and list AWS Athena databases using AWS CLIManaging AWS Athena Workgroups using AWS CLIRun AWS Athena Queries using AWS CLIGet AWS Athena Table Metadata using AWS CLIRun AWS Athena Queries with a custom location using AWS CLIDrop AWS Athena table using AWS CLIRun CTAS under AWS Athena using AWS CLIAmazon AWS Athena using Python boto3As part of this section, we will understand how to interact with AWS Athena using Python boto3.Amazon AWS Athena using Python boto3 - IntroductionGetting Started with Managing AWS Athena using Python boto3List Amazon AWS Athena Databases using Python boto3List Amazon AWS Athena Tables using Python boto3Run Amazon AWS Athena Queries with boto3Review AWS Athena Query Results using boto3Persist Amazon AWS Athena Query Results in Custom Location using boto3Processing AWS Athena Query Results using PandasRun CTAS against Amazon AWS Athena using Python boto3Getting Started with Amazon AWS RedshiftAs part of this section, we will understand how to get started with AWS Redshift using AWS Web console. We will also focus on basic DDL and DML or CRUD Operations using AWS Redshift Query Editor.Getting Started with Amazon AWS Redshift - IntroductionCreate AWS Redshift Cluster using Free TrialConnecting to Database using AWS Redshift Query EditorGet a list of tables querying information schemaRun Queries against AWS Redshift Tables using Query EditorCreate AWS Redshift Table using Primary KeyInsert Data into AWS Redshift TablesUpdate Data in AWS Redshift TablesDelete data from AWS Redshift tablesRedshift Saved Queries using Query EditorDeleting AWS Redshift ClusterRestore AWS Redshift Cluster from SnapshotCopy Data from s3 into AWS Redshift TablesAs part of this section, we will go through the details about copying data from s3 into AWS Redshift tables using the AWS Redshift Copy command.Copy Data from s3 to AWS Redshift - IntroductionSetup Data in s3 for AWS Redshift CopyCopy Database and Table for AWS Redshift Copy CommandCreate IAM User with full access on s3 for AWS Redshift CopyRun Copy Command to copy data from s3 to AWS Redshift TableTroubleshoot Errors related to AWS Redshift Copy CommandRun Copy Command to copy from s3 to AWS Redshift tableValidate using queries against AWS Redshift TableOverview of AWS Redshift Copy CommandCreate IAM Role for AWS Redshift to access s3Copy Data from s3 to AWS Redshift table using IAM RoleSetup JSON Dataset in s3 for AWS Redshift Copy CommandCopy JSON Data from s3 to AWS Redshift table using IAM RoleDevelop Applications using AWS Redshift ClusterAs part of this section, we will understand how to develop applications against databases and tables created as part of AWS Redshift Cluster.Develop application using AWS Redshift Cluster - IntroductionAllocate Elastic Ip for AWS Redshift ClusterEnable Public Accessibility for AWS Redshift ClusterUpdate Inbound Rules in Security Group to access AWS Redshift ClusterCreate Database and User in AWS Redshift ClusterConnect to the database in AWS Redshift using psqlChange Owner on AWS Redshift TablesDownload AWS Redshift JDBC Jar fileConnect to AWS Redshift Databases using IDEs such as SQL WorkbenchSetup Python Virtual Environment for AWS RedshiftRun Simple Query against AWS Redshift Database Table using PythonTruncate AWS Redshift Table using PythonCreate IAM User to copy from s3 to AWS Redshift TablesValidate Access of IAM User using Boto3Run AWS Redshift Copy Command using PythonAWS Redshift Tables with Distkeys and SortkeysAs part of this section, we will go through AWS Redshift-specific features such as distribution keys and sort keys to create AWS Redshift tables.AWS Redshift Tables with Distkeys and Sortkeys - IntroductionQuick Review of AWS Redshift ArchitectureCreate multi-node AWS Redshift ClusterConnect to AWS Redshift Cluster using Query EditorCreate AWS Redshift DatabaseCreate AWS Redshift Database UserCreate AWS Redshift Database SchemaDefault Distribution Style of AWS Redshift TableGrant Select Permissions on Catalog to AWS Redshift Database UserUpdate Search Path to query AWS Redshift system tablesValidate AWS Redshift table with DISTSTYLE AUTOCreate AWS Redshift Cluster from Snapshot to the original stateOverview of Node Slices in AWS Redshift ClusterOverview of Distribution Styles related to AWS Redshift tablesDistribution Strategies for retail tables in AWS Redshift DatabasesCreate AWS Redshift tables with distribution style allTroubleshoot and Fix Load or Copy ErrorsCreate AWS Redshift Table with Distribution Style AutoCreate AWS Redshift Tables using Distribution Style KeyDelete AWS Redshift Cluster with a manual snapshotAWS Redshift Federated Queries and SpectrumAs part of this section, we will go through some of the advanced features of Redshift such as AWS Redshift Federated Queries and AWS Redshift Spectrum.AWS Redshift Federated Queries and Spectrum - IntroductionOverview of integrating AWS RDS and AWS Redshift for Federated QueriesCreate IAM Role for AWS Redshift ClusterSetup Postgres Database Server for AWS Redshift Federated QueriesCreate tables in Postgres Database for AWS Redshift Federated QueriesCreating Secret using Secrets Manager for Postgres DatabaseAccessing Secret Details using Python Boto3Reading Json Data to Dataframe using PandasWrite JSON Data to AWS Redshift Database Tables using PandasCreate AWS IAM Policy for Secret and associate with Redshift RoleCreate AWS Redshift Cluster using AWS IAM Role with permissions on secretCreate AWS Redshift External Schema to Postgres DatabaseUpdate AWS Redshift Cluster Network Settings for Federated QueriesPerforming ETL using AWS Redshift Federated QueriesClean up resources added for AWS Redshift Federated QueriesGrant Access on AWS Glue Data Catalog to AWS Redshift Cluster for SpectrumSetup AWS Redshift Clusters to run queries using SpectrumQuick Recap of AWS Glue Catalog Database and Tables for AWS Redshift SpectrumCreate External Schema using AWS Redshift SpectrumRun Queries using AWS Redshift SpectrumCleanup the AWS Redshift Cluster
Who this course is for
Beginner or Intermediate Data Engineers who want to learn AWS Analytics Services for Data Engineering
Intermediate Application Engineers who want to explore Data Engineering using AWS Analytics Services
Data and Analytics Engineers who want to learn Data Engineering using AWS Analytics Services
Testers who want to learn key skills to test Data Engineering applications built using AWS Analytics Services
Homepage

https://www.udemy.com/course/data-engineering-using-aws-analytics-services/

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Data Preparation in Power BI with the M Language

Free Download Data Preparation in Power BI with the M Language
Released 10/2024
By Avdhesh Gaur
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 35m 4s | Size: 105 MB

Elevate your data preparation skills in Power BI by mastering the M Language. Discover its purpose, structure, and applications to efficiently perform essential data transformation and cleaning tasks empowering you to build robust data pipelines.
Data preparation is often the most time-consuming and challenging aspect of the analytics process, leaving many professionals feeling overwhelmed and underprepared. In this course, Data Preparation in Power BI with the M Language, you'll gain the ability to effectively prepare your data for insightful analysis. First, you'll explore the purpose and structure of the M Language, providing a solid foundation for your data preparation journey. Next, you'll discover how to access the Power Query advanced editor to harness the full potential of M language for your data tasks. Finally, you'll learn how to perform common data transformation tasks, such as removing rows and columns, pivoting and unpivoting data along with the essential data cleaning techniques, such as trimming spaces, removing null values, and many more. When you're finished with this course, you'll have the skills and knowledge of the M Language needed to build robust data pipelines and streamline your data preparation process.
Homepage

https://www.pluralsight.com/courses/power-bi-data-preparation-m-language

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Data Processing and Information Technology

Free Download Data Processing and Information Technology
Published 10/2024
Created by Emmanuel Adams
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 70 Lectures ( 3h 14m ) | Size: 1.66 GB

Practical Skills in Data Analysis, Computer Hardware Configuration and More
What you'll learn
1.1 Define the Computer.
1.2 Narrate the historical development of the Computer.
1.3 Classify computer according to generation from the 1st to the 5th generations (and any other generation).
1.4 Distinguish among analog, digital and hybrid computers.
1.5 Explain the social implications of computers on society
1.6 List the benefits of computers to the society
1.7 Explain the various control measures to counter the disadvantages of using a computer.
Section 2: Understand Computer Operating Systems and Software
2.1 Describe the computer hardware configuration.
2.2 Identify the basic components of a computer
2.3 Describe the unit of memory storage.
2.4 Describe the computer software.
2.5 Distinguish between systems software and Applications software
2.6 Distinguish between software and hard ware.
2.7 Explain Microsoft Window.
2.8 Demonstrate the use of all the items in the desktop
2.9 Perform operation using warm and cool booting
2.10 Demonstrate the use of task bar and the start button
2.11 Demonstrate the use of the features of window
2.12 Demonstrate different ways of logging on to window.
Section 3: Know the principles and methods of data processing
3.1 Define Data processing.
3.2 Explain the methods of data processing
3.3 Explain the stages of data processing.
3.4 Explain the various types of data processing techniques.
Section 4: Understand the principles of data management
4.1 Explain the various methods of data collection.
4.2 Explain the various methods of data preparation.
4.3 Explain the various methods of data validation.
4.4 Explain methods of transmitting data.
5.1 Explain Data Communication.
5.2 Explain Data Transmission.
5.3 Explain Internet, EMail, E-Commerce, etc.
Section 5: Understand system concept
5.1 Define a system
5.2 Classify systems into manual and automated.
5.3 Compare systems in manual and automated system
5.4 List examples of manual and automated systems
Section 6: Know the various stages of system analysis
6.1 Define system analysis
6.2 List the stages of system development
6.3 Explain system planning, control and co-ordination.
Section 7: Understand system design.
7.1 Explain system design.
7.2 Explain system specification.
7.3 List tools of system specification
7.4 Explain programme specification.
7.5 List the tools of programming.
7.6 Explain system documentation. (input, output, processing access made) and standards.
Section 8 Understand word processing packages and their applications to business
Requirements
No prior computer knowledge required
Description
In today's fast-paced digital world, understanding the fundamentals of data processing and information technology is essential for anyone looking to excel in the tech industry. This comprehensive course is designed to equip you with the knowledge and skills needed to effectively manage, analyze, and process data using various information technologies.What You'll Learn:Introduction to ICT: Begin your journey with a solid foundation in Information Communication Technology, exploring its significance and applications.Operating Systems & Software: Gain insights into different computer operating systems, software types, and their roles in data processing.Data Processing Principles: Understand the core principles and methods of data processing, and how they are applied in real-world scenarios.Data Management: Learn the techniques for managing data effectively, ensuring data integrity, security, and accessibility.System Concepts & Analysis: Delve into system concepts, including the stages of system analysis and design, to streamline processes and improve efficiency.Word Processing & Spreadsheets: Discover the practical applications of word processing and spreadsheet software in business, enhancing your productivity and decision-making capabilities.Why Enroll?Whether you're a student, aspiring IT professional, or someone looking to improve your data processing skills, this course offers a structured approach to mastering essential ICT concepts. With clear explanations, practical examples, and hands-on exercises, you'll be well-prepared to tackle the challenges of the digital age.Course Features:Comprehensive Content: 10 detailed sections covering all aspects of data processing and information technology.Expert Instruction: Learn from industry professionals with years of experience in the field.Flexible Learning: Study at your own pace with lifetime access to the course materials.Certification: Receive a certificate upon successful completion to boost your resume and career prospects.Join now and take the first step towards becoming proficient in data processing and information technology!
Who this course is for
Zero computer intended learners
Homepage

https://www.udemy.com/course/data-processing-and-information-technology/

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Data Storytelling for Marketers Crafting Compelling Insights that Drive Decisions

Free Download Data Storytelling for Marketers Crafting Compelling Insights that Drive Decisions
Released 10/2024
With Madecraft , Lea Pica
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 1h 10m 56s | Size: 179 MB

Learn how to communicate effectively through visually engaging storytelling, ensuring greater impact and resonance with diverse audiences.
Course details
Discover data storytelling with Lia Pica. Learn to craft narratives that drive decisions, using data effectively in marketing. Lea provides insights about narrative construction, design, delivery, and measuring impact. After this course, you'll be able to tell compelling data stories for strategic advantage.
Homepage

https://www.linkedin.com/learning/data-storytelling-for-marketers-crafting-compelling-insights-that-drive-decisions

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Data Structures and Algorithms Simplified Bootcamp

Free Download Data Structures and Algorithms Simplified Bootcamp
Published 10/2024
Created by Bonaventure Ogeto
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 42 Lectures ( 7h 49m ) | Size: 2.3 GB

Bite-Sized Lessons for Beginners and Developers: Learn, Practice, and Master Data Structures, Algorithms
What you'll learn
Understand and implement common data structures like arrays, linked lists, stacks, and queues.
Learn various searching and sorting algorithms, including linear search, binary search, and quicksort.
Apply key concepts of algorithms to solve real-world problems efficiently.
Master algorithmic thinking, enabling optimal solutions for technical interview questions and coding challenges.
Develop problem-solving skills, tackling challenges like Fibonacci, factorial, and backtracking problems.
Requirements
No prior experience in data structures and algorithms is required. This course is beginner-friendly.
Basic understanding of any programming language (e.g., Python, JavaScript, C++) is helpful but not mandatory.
A computer and internet connection to follow along with coding exercises and quizzes.
Willingness to solve problems and practice consistently
Description
Data Structures and Algorithms Simplified BootcampMaster the Building Blocks of Coding, Ace Your Interviews, and Solve Real-World Problems with Confidence!Are you struggling to grasp the complex parts of data structures and algorithms? Or maybe you're preparing for a coding interview and need a refresher? Whether a beginner or an experienced developer, this bootcamp series offers bite-sized, easy-to-understand lessons to help you level up your coding skills-step by step.What You'll Learnata Structures: Master arrays, linked lists, stacks, queues, trees, graphs, and hash tables Algorithms: Understand sorting, searching, recursion, dynamic programming, greedy algorithms, and backtracking Problem-Solving Techniques: Learn patterns to tackle technical challenges with ease Interview Prep: Get tips and practice problems to crack coding interviews at top tech companies Real-World Applications: Discover how data structures and algorithms are applied in search engines, social networks, and more Why This Course?Bite-Sized Lessons: Perfect for learners with busy schedules-make meaningful progress in minutes Beginner-Friendly & Refreshing for Experts: Start from scratch or jump straight to advanced topics Hands-On Learning: Real coding examples and practical problems after every concept Clear Explanations: No jargon-just easy-to-follow lessons designed to build your confidence Lifetime Access: Revisit any topic whenever you need.Who Is This Course For?Aspiring developers who want to build a strong foundation in coding Developers preparing for technical interviews or coding challenges CS students needing extra support to ace data structures and algorithmsAnyone looking to solve problems faster and write efficient code By the End of This Course, You Will:Master key concepts in data structures and algorithms Be interview-ready with practical coding skills and problem-solving techniques Confidently write optimized code for real-world applications Gain the skills employers seek in top software development roles Join us now and build the skills you need to become a confident programmer one step at a time.
Who this course is for
Beginners in programming who want to build a strong foundation in data structures and algorithms.
Developers preparing for coding interviews or technical assessments for software engineering roles.
Students or professionals who want a refresher in data structures and algorithms for career advancement.
Anyone interested in improving problem-solving skills and optimizing code performance.
Computer science enthusiasts or professionals aiming to improve their understanding of algorithmic thinking and optimize solutions for complex problems.
Homepage

https://www.udemy.com/course/data-structures-and-algorithms-simplified-bootcamp/

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Data Visualization Using Tableau by IIBM Institute

Free Download Data Visualization Using Tableau by IIBM Institute
Published 10/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 5.63 GB | Duration: 12h 46m
"Data Visualization Using Tableau : Data Visualization ,Tableau ,Dashboard, Data Analysis ,Interactive Reporting."

What you'll learn
Data Visualization Techniques: Learn to create and interpret various graph types, including bar and line graphs, for effective data representation.
Geographic Mapping and Data Integration: Utilize geographic location mapping and understand different join types and data blending for comprehensive analysis.
Dashboard Design and Interactivity: Develop interactive dashboards using grouping, highlighting, and tooltips to enhance data presentation.
Advanced Analytics: Implement clustering and regression analysis to uncover insights and relationships within the data.
Practical Application and Storytelling: Apply learned concepts through hands-on exercises, creating compelling data stories that communicate insights effectivel
Requirements
To enroll in this Tableau course, participants should have basic computer skills and a foundational understanding of data concepts. Access to Tableau Desktop or Tableau Public is necessary for practical exercises. An analytical mindset and curiosity about data visualization will enhance the learning experience, enabling participants to effectively explore and communicate insights through data storytelling.
Description
In the "Data Visualization Using Tableau" course, you'll embark on a comprehensive journey to master one of the leading tools for data visualization. This course is designed for individuals who want to transform complex data into insightful and engaging visual stories. Starting with the basics, you'll learn how to navigate Tableau's interface and utilize its powerful features to create a variety of visualizations, including charts, graphs, and maps. The curriculum covers essential topics such as data connection, preparation, and cleaning, ensuring you can work with diverse datasets effectively.You'll delve into the principles of effective dashboard design, creating interactive dashboards that allow users to explore data dynamically. Advanced analytics techniques, such as calculated fields and forecasting, will empower you to derive deeper insights from your data.Through hands-on exercises and real-world projects, you'll develop the skills needed to communicate your findings clearly and effectively. By the end of this course, you'll be equipped to make data-driven decisions and present compelling narratives that influence your audience, making you a valuable asset in any data-driven organization. Join us to unlock the full potential of your data.Learn to create impactful data visualizations using Tableau for effective storytelling.IIBM Institute of Business Management
Overview
Section 1: Introduction
Lecture 1 Tableau- Introduction to Graphs
Section 2: Tableau-Geographic Location Mapping
Lecture 2 Tableau-Geographic Location Mapping
Section 3: Tableau-Bar Graph Line Graph and Filters
Lecture 3 Tableau-Bar Graph Line Graph and Filters
Section 4: Tableau-Different Types of Joins
Lecture 4 Tableau-Different Types of Joins
Section 5: Tableau Data Blending
Lecture 5 Tableau Data Blending
Section 6: Tableau Storyline Creation
Lecture 6 Tableau Storyline Creation
Section 7: Tableau Data Interpreters and Cleaning
Lecture 7 Tableau Data Interpreters and Cleaning
Section 8: Tableau Dashboard Concepts
Lecture 8 Tableau Dashboard Concepts
Section 9: Tableau Grouping and Highlighters
Lecture 9 Tableau Grouping and Highlighters
Section 10: Tableau Cluster Creation and Modelling
Lecture 10 Tableau Cluster Creation and Modelling
Section 11: Tableau Regression Analysis
Lecture 11 Tableau Regression Analysis
Section 12: Tableau Step Up, Tool Tip Analysis and Grouping
Lecture 12 Tableau Step Up, Tool Tip Analysis and Grouping
Section 13: Project- Attrition Analysis and Bank Loan Modelling
Lecture 13 Project- Attrition Analysis and Bank Loan Modelling
Lecture 0 Solution-HR Analytics-Attrition Analysis
Lecture 0 Bank Loan Modelling and Complete Revision
This course is for data analysts, business professionals, and beginners eager to enhance their data visualization skills in Tableau for effective decision-making and insights presentation.
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Homepage

https://www.udemy.com/course/data-visualization-using-tableau-q/

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Data and Database Fundamentals for CompTIA Tech+

Free Download Data and Database Fundamentals for CompTIA Tech+
Released 10/2024
By Warner Chaves
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 1h 45m | Size: 234 MB

This course will teach you the basics of database concepts, data structures, data viewing options, and a backup plan for the CompTIA Tech+ exam.
In an increasingly data-driven world, professionals in Information Technology face the challenge of effectively managing and leveraging data to support organizational needs. In this course, Data and Database Fundamentals for CompTIA Tech+, you will learn to understand technologies related to implementing data structures in database services. First, you'll explore the value of data in Information Technology used by various structure options for those dependent on data to run organizations. Next, you'll discover the concepts and purpose of various database services and the data structures that can be used. Finally, you'll learn the steps and importance of backups for a failover system. When you finish this course, you'll have the skills and knowledge of data and database fundamentals needed for the CompTIA Tech+ exam.
Homepage

https://www.pluralsight.com/courses/data-database-fundamentals-comptia-tech-plus

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Data-Driven Leadership Strategic Impact Of Data

Free Download Data-Driven Leadership Strategic Impact Of Data
Published 10/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.22 GB | Duration: 1h 0m
Creating Awareness for the vast growing Strategic Impact of Data in Traditional and Digital Business.

What you'll learn
Getting familiar with all definitions and components of data-related topics
Understanding of the contribution of data to business success
Understanding the challenges of a vast and daily growing amount of data to be handled
Senior Management will understand where they fall short in terms of opportunity cost and the benefits derived therein
This course will help senior managers validate the starting position for a data journey
Requirements
No prior knowledge of data or data management is required
Description
This module offers a comprehensive exploration of data's pivotal role in both traditional and digital businesses. It begins by examining the significance of data in business operations, focusing on how organizations can build trust and confidence in data to make informed decisions. Participants will explore the transformative concept of data-driven business, emphasizing data as a strategic asset.The course will delve into the data ecosystem, fostering an understanding of data culture and data citizenship, and how these shape modern society. Learners will also gain insight into data's role in enterprise architecture, discovering how it integrates into business solutions for increased efficiency and innovation.A key focus is placed on the data management process framework and how organizations can structure themselves to maximize data's business benefits. Participants will assess opportunity costs, evaluate common mistakes, and conduct a self-assessment to gauge their organization's data maturity.Finally, the course offers a retrospective look at the evolution of data and the data journey, from early data collection practices to the modern era of big data and advanced analytics. The module equips learners with the skills to navigate the complexities of data management while leveraging data as a valuable business asset.Table of contentata in Traditional and Digital BusinessTrust and Confidence in DataData-driven BusinessData as an AssetData Eco-System, Data Culture, Data Society and Data CitizenshipData as Part of the Enterprise Solution ArchitectureData Management Process FrameworkData Management OrganizationBusiness BenefitsOpportunity CostsCommon MistakesEvolution of Data ManagementSelf-AssessmentData JourneyData StrategyThe eLearning course on the strategic impact of data in business targets four main groups: Senior Managers and Board Members seeking to understand the role of data in traditional and digital business models. Business Development Managers and Influencers of Senior Management who need to explain the strategic value of data and initiate data-driven projects aligned with business goals. Data Management Professionals aiming to elevate data management maturity and demonstrate its strategic impact. Lastly, Students and Data Enthusiasts are included to gain insight into how data drives business development and innovation in both traditional and digital contexts.
Overview
Section 1: Introduction
Lecture 1 Introduction
Section 2: Data in Traditional and Digital Business
Lecture 2 Data in Tradtional and Digital Business
Lecture 3 Trust and Confidence
Lecture 4 Data-Driven Business
Lecture 5 Data as an Asset
Lecture 6 Data Eco-System, Data Culture, Data Society and Data Citizenship
Lecture 7 Data as Part of an Enterprise Solution Architecture
Lecture 8 Data Management Process Framework
Lecture 9 Data Management Organization
Section 3: Business Benefits, Opportunity Costs and Common Mistakes
Lecture 10 Business Benefits
Lecture 11 Opportunity Costs
Lecture 12 Common Mistakes
Section 4: Self Assessment and Conclusion
Lecture 13 Evolution of Data Management, Self Assessment and Data Journey
Lecture 14 Conclusion and Data Strategy
Section 5: Outroduction
Lecture 15 Outroduction
Senior Managers and Board Members who want to get a better understanding of the strategic impact of data in traditional and digital business models,Business Development Managers and Influencers of Senior Management who need to explain the strategic impact of data and who intend to launch Data Initiatives required to meet Business Objectives,Data Management Professionals who need to explain the strategic impact of data and who intend to launch Data Initiatives required to get Data Management on required Maturity Level,Students and Data Enthusiasts, who intend to understand the Strategic Impact of Data in Business Development and Traditional and Digital Business Models
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Homepage

https://www.udemy.com/course/data-driven-leadership-strategic-impact-of-data/

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Datacenter and MDF-IDF Tech 5+ hours course

Free Download Datacenter and MDF/IDF Tech 5+ hours course
Last updated 4/2024
Created by Jeff Diamond
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + subtitle | Duration: 31 Lectures ( 5h 20m ) | Size: 3.66 GB

Practical skills in server rooms, MDFs and IDFs, racking, etc.
What you'll learn
Real world tasks and skills performed by data center technicians
Tours of REAL equipment rooms
WAN and DHCP Server configuration
Cyber security via IPSEC
Ether-channel for vastly increasing data throughput
HSRP redundancy
Spanning Tree Protocol functions and administration
Network validation, testing, and troubleshooting.
Requirements
Have Packet-Tracer or GNS3 installed on your device.
Minimal pre-knowledge needed. At least know the basics of what a network is.
Have a desire to learn datacenter networking
Description
What will I learn in this course?This is a massive course over 5 hours wherein you will learn some real-world tasks that data center technicians actually do, in hands-on labs AND learning as I take you into REAL equipment rooms with real running networks and racked devices. These skills also fulfill many of the Network+ exam goals, too. So, if you are planning to take either of those exams, you may find this course extremely valuable.What do I get with this course?Real-world networking skills and a FREE copy of my book On the Command Line with 100 commands and configurations (also on Amazon).What will I need to take this course?A desire to learn and a network simulation app such as Packet Tracer or GNS3, or any other simulated environment you prefer.What does this course contain?CCNA Data Center Technician is a hands-on course where you will learn many real-world common tasks performed by professional data center technicians. ALL subject matter herein also fulfills many of your 200-301 CCNA exam goals. Part 1We will begin by building and configuring our WAN, complete with real-world redundancy via HSRP. We will also learn about the importance of Spanning Tree Protocol and how to administer and monitor its status. These lectures contain information vital to fulfilling many of the 200-301 CCNA and Network+ exam goals.Part 2In part 2 of this course, we configure a DHCP server to operate over a WAN comprised of our SOHO network, cloud network, and a data center. Then we add in cybersecurity measures via Trusted Ports to protect our networks against a man-in-the-middle attack. We add in the ability for our client to log in remotely using SSH, along with other configurations that fulfill 200-301 CCNA and Network+ exam goals. You will also learn new show commands for monitoring and troubleshooting. Technology is for everyoneEveryone of any age and background can learn IT and gain a higher paying career, and I want you to be one of them. Thank you for visiting, and I hope to see you in class.Jeff DiamondCCNA / FOA CPCT, CFOT
Who this course is for
All levels of IT skill, from beginners on up to professionals.
Beginners welcome because we go step-by-step.
Homepage

https://www.udemy.com/course/ccna-data-center-technician-lets-learn-data-center-tech/

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Debt Management - Restructuring Strategies And Case Studies

Free Download Debt Management - Restructuring Strategies And Case Studies
Published 10/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.50 GB | Duration: 2h 58m
Unlock the secrets of debt restructuring and elevate your financial decision-making with our expert-led course

What you'll learn
Foundational Concepts of Debt Restructuring: A comprehensive introduction to the principles of debt restructuring, including why it is essential for businesses
Objectives and Triggers of Debt Restructuring: Understand the key objectives behind restructuring debt and the scenarios that trigger the need to restructure.
Methods of Debt Restructuring: Explore various methods used to restructure debt, including reduction in margins and management restructuring.
Pros and Cons of Debt Restructuring: Analyze the benefits and drawbacks of restructuring debt from both borrower and lender perspectives.
Steps in the Debt Restructuring Process: A step-by-step breakdown of how debt restructuring works, guiding students through the entire process.
Real-World Case Studies: In-depth analysis of famous debt restructuring case studies, such as Essar Steel, Kingfisher Airlines, and Wockhardt.
Financial Viability Parameters: Learn how to assess financial viability through key metrics like Debt Service Coverage Ratio (DSCR).
Illustrations and Practical Examples: Gain hands-on experience by exploring real-life examples of how lenders evaluate debt restructuring proposals.
Requirements
Fundamentals of Finance: Familiarity with basic financial statements (balance sheet, income statement) and key financial metrics.
Business Management or Accounting Knowledge: Some experience or background in business finance, accounting, or corporate management will provide a better context for debt restructuring concepts.
Interest in Corporate Finance or Debt Management: A keen interest in how businesses manage debt and navigate financial challenges will be beneficial.
Description
Introduction:Welcome to the Debt Restructuring Masterclass, a comprehensive course designed to provide you with deep insights into the critical aspects of debt restructuring. This course explores the methods, steps, pros and cons, and financial parameters involved in restructuring debt. You will also gain valuable knowledge through real-life case studies of companies that underwent significant restructuring. By the end of the course, you will have a firm grasp of the strategies and techniques used to effectively manage and restructure debt.Section 1: IntroductionOur journey begins with an introduction to the fundamental concepts of debt restructuring. In Lecture 1, you'll learn about the purpose of restructuring debt and why it is a crucial tool for both companies and financial institutions. Lecture 2 continues this exploration, providing more in-depth analysis and highlighting key elements that drive debt restructuring decisions.Section 2: OverviewIn this section, we focus on the objectives behind debt restructuring. Lecture 3 delves into the core goals, such as improving liquidity and maintaining business continuity. Lecture 4 examines the triggers that compel organizations to consider restructuring, such as declining profits or regulatory pressures, and how restructuring can restore financial stability.Section 3: Methods of Debt RestructuringHere, we uncover various methods utilized in debt restructuring. Lecture 5 introduces you to common techniques like extending debt maturities or converting debt into equity. Lecture 6 builds on these concepts, while Lecture 7 explores more advanced strategies, including reducing margins and making changes to management, to ensure a successful restructuring process.Section 4: Pros and Cons of Debt RestructuringEvery financial strategy has its advantages and disadvantages, and debt restructuring is no exception. Lecture 8 and Lecture 9 highlight the key pros, such as preventing bankruptcy and improving cash flow. On the other hand, Lecture 10 addresses the cons, such as potential harm to credit ratings and the impact on future borrowing.Section 5: Steps of Debt RestructuringUnderstanding the steps involved in debt restructuring is crucial for effective implementation. Lecture 11 outlines a step-by-step guide to debt restructuring, from assessing financial health to negotiating with lenders. In Lecture 12, we continue discussing the essential steps, including legal considerations and stakeholder management.Section 6: Real-Life Case StudiesThis section brings theory into practice with real-life case studies of companies that have undergone debt restructuring. In Lecture 13, we examine the restructuring of Essar Steel, one of India's largest steel producers. Lecture 14 takes a deep dive into the famous case of Kingfisher Airlines, while Lecture 15 covers Wockhardt, a major pharmaceutical company. These case studies will illustrate the impact of restructuring decisions on corporate survival and recovery.Section 7: Financial Viability ParametersTo assess the success of debt restructuring, financial viability metrics are critical. In Lecture 16, we analyze the Debt Service Coverage Ratio (DSCR), a key measure of a company's ability to repay its obligations. Lecture 17 introduces Return on Capital Employed (ROCE), while Lecture 18 focuses on the Internal Rate of Return (IRR) and Cost of Capital (COC). Lecture 19 and Lecture 20 wrap up with discussions on Break-Even Analysis, Gross Profit Margins, and the Loan Life Coverage Ratio (LLCR), essential for evaluating restructuring outcomes.Section 8: Example of IllustrationsIn this final section, we explore how lenders assess restructuring proposals. Lecture 21 outlines the factors considered by lenders during the restructuring process, such as creditworthiness and future growth prospects. Lecture 22 provides illustrative examples to highlight these factors in action. Lastly, Lecture 23 revisits the Corporate Debt Restructuring (CDR) of Kingfisher Airlines, providing a detailed example of how complex restructuring negotiations unfold.Conclusion:In this course, you have explored the complexities of debt restructuring from the ground up. From understanding the foundational principles and methods to analyzing real-world case studies, you now possess the knowledge and tools to engage in effective debt restructuring strategies. Whether you're a financial professional or a business leader, these insights will help you navigate challenging financial landscapes and ensure better decision-making for long-term success.
Overview
Section 1: Introduction
Lecture 1 Introduction to Debt Restructuring
Lecture 2 Introduction to Debt Restructuring Continues
Section 2: Overview
Lecture 3 Objectives of Debt Restructuring
Lecture 4 Trigged Objectives of Debt Restructuring
Section 3: Methods of Debt Restructuring
Lecture 5 Methods of Debt Restruction
Lecture 6 More on Methods of Debt Restruction
Lecture 7 Reduction in Margins and Restructing of Management
Section 4: Pros and Cons of Debt Restructuring
Lecture 8 Pros of Debt Restructuring
Lecture 9 Pros of Debt Restructuring Continues
Lecture 10 Cons of Debt Restructuring
Section 5: Steps of Debt Restructuring
Lecture 11 Steps of Debt Restructuring
Lecture 12 Steps of Debt Restructuring Continues
Section 6: Real Life case Studies
Lecture 13 Case Study of Essar Steel
Lecture 14 Case Study of Kingfisher Airlines
Lecture 15 Case Study of Wockhard
Section 7: Financial Viability Parameters
Lecture 16 Debt Service Coverage Ratio
Lecture 17 Returned on Capital Employed
Lecture 18 Internal Rate of Returns(IRR) and Cost of Capital (COC)
Lecture 19 Break Even Analysis and Gross Profit Margins
Lecture 20 Loan Life Coverage Ratio
Section 8: Example of Illustrations
Lecture 21 Factors Being Considered by Lender
Lecture 22 Example of Illustrations
Lecture 23 CDR of Kingfisher Airlines
Finance and Accounting Professionals: Individuals working in finance, accounting, or corporate management who want to deepen their understanding of debt restructuring and management strategies.,Business Owners and Entrepreneurs: Those running businesses, particularly in financially distressed situations, will benefit from learning how to manage debt and navigate restructuring options effectively.,Investors and Financial Analysts: People involved in evaluating companies for investment or advisory roles will gain insights into how debt restructuring impacts financial health and corporate performance.,Students and Academics: Finance or business students looking to broaden their knowledge of corporate finance and gain practical skills in debt management and restructuring.,Corporate Advisors and Legal Professionals: Consultants, legal experts, and corporate advisors who deal with business turnarounds, restructuring, and financial viability analysis.
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Homepage

https://www.udemy.com/course/debt-management-restructuring-strategies-and-case-studies/

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Deep Learning and Generative AI Data Prep, Analysis, and Visualization with Python

Free Download Deep Learning and Generative AI Data Prep, Analysis, and Visualization with Python
Released 10/2024
With Gwendolyn Stripling
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill level: Advanced | Genre: eLearning | Language: English + subtitle | Duration: 1h 56m 27s | Size: 267 MB

Learn the knowledge and practical skills needed to effectively utilize deep learning techniques using the Python programming language.
Course details
If you're looking to keep up with the rapid advancements and applications of deep learning techniques, this course provides a comprehensive guide that can help you stay relevant and competitive in the evolving landscape of AI and data-driven technologies.
Instructor Gwendolyn Stripling shows you how to transform raw data into valuable insights and build the foundation for cutting-edge AI applications. The course focuses on the concepts, with minimal coding required, so even if you're not an experienced coder, Gwendolyn shows you how to use simple Python code to work with data. Test your learning with a series of challenges, and cap off the course with building and evaluating a predictive and generative model.
Homepage

https://www.linkedin.com/learning/deep-learning-and-generative-ai-data-prep-analysis-and-visualization-with-python

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Deep Learning with TensorFlow Insights and Innovations

Free Download Deep Learning with TensorFlow Insights and Innovations
Released 10/2024
With Isil Berkun
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 3h 6m 16s | Size: 508 MB

Explore the evolving world of deep learning with TensorFlow, including the basics of generative AI, with practical, hands-on examples.
Course details
As the AI landscape continuously evolves, understanding the foundational and emerging aspects of deep learning becomes crucial for professionals looking to stay ahead in tech-related fields. This course helps to bridge that gap by offering updated insights on how to leverage the power of TensorFlow applications. Discover the latest features and best practices of TensorFlow with practical applications and real-world examples. Along the way, instructor Isil Berkun introduces you to generative AI concepts to inspire further exploration and learning. By the end of this course, you'll be proficient in implementing deep learning models with TensorFlow.This course is integrated with GitHub Codespaces, an instant cloud developer environment that offers all the functionality of your favorite IDE without the need for any local machine setup. With GitHub Codespaces, you can get hands-on practice from any machine, at any time-all while using a tool that you'll likely encounter in the workplace. Check out the "Diving into Codespaces" chapter to learn how to get started.
Homepage

https://www.linkedin.com/learning/deep-learning-with-tensorflow-insights-and-innovations

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Deep Reinforcement Learning made-easy

Free Download Deep Reinforcement Learning made-easy
Published 10/2024
Created by Dr. Muhammad Farhan
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 113 Lectures ( 14h 40m ) | Size: 8.62 GB

Reinforcement Learning for beginners to advanced learners
What you'll learn
To understand deep learning and reinforcement learning paradigms
To understand Architectures and optimization methods for deep neural network training
To implement deep learning methods within Tensor Flow and apply them to data
To understand the theoretical foundations and algorithms of reinforcement learning
To apply reinforcement learning algorithms to environments with complex dynamics
Requirements
Basic python programming but not necessary
Description
This course is the integration of deep learning and reinforcement learning. The course will introduce student with deep neural networks (DNN) starting from simple neural networks (NN) to recurrent neural network and long-term short-term memory networks. NN and DNN are the part of reinforcement learning (RL) agent so the students will be explained how to design custom RL environments and use them with RL agents. After the completion of the course the students will be able:To understand deep learning and reinforcement learning paradigmsTo understand Architectures and optimization methods for deep neural network trainingTo implement deep learning methods within Tensor Flow and apply them to data.To understand the theoretical foundations and algorithms of reinforcement learning.To apply reinforcement learning algorithms to environments with complex dynamics.Course Contents:Introduction to Deep Reinforcement LearningArtificial Neural Network (ANN)ANN to Deep Neural Network (DNN)Deep Learning Hyperparameters: RegularizationDeep Learning Hyperparameters: Activation Functions and OptimizationsConvolutional Neural Network (CNN)CNN ArchitectureRecurrent Neural Network (RNN)RNN for Long SequencesLSTM NetworkOverview of Markov Decision ProcessesBellman Equations and Value FunctionsDeep Reinforcement Learning with Q-LearningModel-Free PredictionDeep Reinforcement Learning with Policy GradientsExploration and Exploitation in Reinforcement Learning
Who this course is for
Data Scientists
Machine Learning Engineers
Robotics Programmer
Homepage

https://www.udemy.com/course/deep-reinforcement-learning-made-easy/

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Defending Against JavaScript Keylogger Attacks on Payment Card Information

Free Download Defending Against JavaScript Keylogger Attacks on Payment Card Information
Updated: Oct 11, 2024
Duration: 1h 3m | Video: .MP4, 1280x720 25fps | Audio: AAC, 48 kHz, 2ch | Size: 333 MB
Genre: eLearning | Language: English
In this course, you'll learn how about the most common attack now used to steal payment card data and the possible defences.

In this course, Defending Against JavaScript Keylogger Attacks on Payment Card Information, John Elliott and Troy Hunt discuss the most common attack used to steal payment card data and how to defend against it. Learn how security people think about a problem, why criminals attack, how their tools and techniques work, and how you have to adapt as defenders. By the end of this course, you'll have a better understanding of the NIST model, how thinking about detection is equally important, and response/recovery.
Homepage

https://www.pluralsight.com/courses/defending-javascript-keylogger-attacks-pci

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