R Programming Hands-on Specialization for Data Science (Lv1)

• R Programming Hands-on Specialization for Data Science (Lv1)
• 1. Introduction/1. Warm Welcome!.mp4 5.3 MB
• 1. Introduction/1. Warm Welcome!.vtt 4.3 KB
• 1. Introduction/2. Why you should learn R.vtt 13.1 KB
• 1. Introduction/3. What you will learn in this course.vtt 9.9 KB
• 1. Introduction/ReadMe.txt 669 B
• 2. R Fundamentals/1. Installing R (console) and RStudio (IDE).vtt 9.4 KB
• 2. R Fundamentals/1.1 1_R_intro.pdf.pdf 152.7 KB
• 2. R Fundamentals/2. Getting to know R - Setting Context.mp4 3.6 MB
• 2. R Fundamentals/2. Getting to know R - Setting Context.vtt 2.7 KB
• 2. R Fundamentals/3. R Basics - Working Directory, Environment Variables and more!.vtt 15.5 KB
• 2. R Fundamentals/4. R Basics - Loading and Executing R scripts from local file system.vtt 6.7 KB
• 2. R Fundamentals/5. Handling Working Directory.html 145 B
• 3. R Data Types/1. R Atomic Data Types Intro - What you must know about Numeric and Integers in R.vtt 11 KB
• 3. R Data Types/1.1 r_data_types_1.pdf.pdf 188.7 KB
• 3. R Data Types/2. Complex and Character Data Types (Atomic).vtt 6.7 KB
• 3. R Data Types/3. Character Data Type (Atomic) + Important Data Transformation Functions (1).vtt 5.9 KB
• 3. R Data Types/4. Character Data Type (Atomic) + Important Data Transformation Functions (2).vtt 4.3 KB
• 3. R Data Types/5. Character Data Type (Atomic) + Important Data Transformation Functions (3).vtt 8.7 KB
• 3. R Data Types/6. Logical Data Type (Atomic) and Its known Implications.vtt 5.3 KB
• 3. R Data Types/7. Atomic Data Types and Nuances in Coercioning (ExplicitImplicit).vtt 10.7 KB
• 3. R Data Types/8. Data Types Coercions.html 145 B
• 4. R Data Structure - Vectors/1. Vectors - Creation, Homogeneity, Coercion Implications and Important Functions!.vtt 14.7 KB
• 4. R Data Structure - Vectors/1.1 r_vectors.pdf.pdf 135.5 KB
• 4. R Data Structure - Vectors/2. Vectors - Comparing different ways to create vectors in R!.vtt 6.7 KB
• 4. R Data Structure - Vectors/3. Vectors - Understanding Indexing like never before!.vtt 10.9 KB
• 4. R Data Structure - Vectors/4. Vectors - Indexing (Out of Bound scenarios) and How Pros use it!.vtt 11.9 KB
• 4. R Data Structure - Vectors/5. Vectors - Flatness property and its critical implications in Indexing!.vtt 6.6 KB
• 4. R Data Structure - Vectors/6. Vectors - Labels and their Advanced Usage in Indexing.vtt 9.2 KB
• 4. R Data Structure - Vectors/7. Vectors - Assigning Attributes and its use-case as Metadata.vtt 6.3 KB
• 4. R Data Structure - Vectors/8. Indexing Vectors.html 145 B
• 5. R Data Structure - Matrices/1. Matrices - Getting Acquainted, Creation and its operational functions!.vtt 12.7 KB
• 5. R Data Structure - Matrices/1.1 r_matrices.pdf.pdf 225.6 KB
• 5. R Data Structure - Matrices/2. Matrices - Creation and Implications related to its Dimensions.vtt 8 KB
• 5. R Data Structure - Matrices/3. Matrices - Creation from Vectors + Naming Dimensions (Explicit, Implicit).vtt 16.6 KB
• 5. R Data Structure - Matrices/4. Matrices - Dimensions (Advanced) and Intro to Indexing.vtt 5.3 KB
• 5. R Data Structure - Matrices/5. Matrices - Indexing Continued.mp4 6.5 MB
• 5. R Data Structure - Matrices/5. Matrices - Indexing Continued.vtt 4.1 KB
• 5. R Data Structure - Matrices/6. Matrices - Advanced Indexing using DimensionNames.vtt 5.3 KB
• 5. R Data Structure - Matrices/7. Matrices - Even more Advanced Indexing!.vtt 8.7 KB
• 5. R Data Structure - Matrices/8. Matrices - Operations!.vtt 7.8 KB
• 6. R Data Structure - Lists/1. Lists - Getting Introduced to one of the most powerful data structures in R.vtt 7.3 KB
• 6. R Data Structure - Lists/1.1 r_lists.pdf.pdf 118 KB
• 6. R Data Structure - Lists/2. Lists - Comparing with Vectors w.r.t Heterogeneity and Introducing Indexing.vtt 6 KB
• 6. R Data Structure - Lists/3. Lists - Comprehending their Recursive Nature in comparison with Vectors.mp4 6.7 MB
• 6. R Data Structure - Lists/3. Lists - Comprehending their Recursive Nature in comparison with Vectors.vtt 4.1 KB
• 6. R Data Structure - Lists/4. Lists - Converting to and from Vectors and implications (coercion, flatness).vtt 6.2 KB
• 6. R Data Structure - Lists/5. Lists - Nuances in Determining Length in the context of Recursiveness.vtt 5 KB
• 6. R Data Structure - Lists/6. Lists - Nuances in Determining Length and Class of Elements.vtt 7.3 KB
• 6. R Data Structure - Lists/7. List - Advanced Indexing also using Labels.vtt 9.7 KB
• 6. R Data Structure - Lists/8. List - Comparison of Indexing ways and Implications.vtt 6.2 KB
• 7. R Data Structure - Data Frames/1. Data Frames - Introducing The holy grail of processing Structured Data.vtt 11.4 KB
• 7. R Data Structure - Data Frames/1.1 r_data_frames.pdf.pdf 130.4 KB
• 7. R Data Structure - Data Frames/2. Data Frames - Creation and important functions for Basic Exploratory Analysis.vtt 16.3 KB
• 7. R Data Structure - Data Frames/3. Data Frames - More Important Functions for Basic Exploratory Analysis.vtt 11.1 KB
• 7. R Data Structure - Data Frames/4. Data Frames - Creation from Lists.mp4 3.8 MB
• 7. R Data Structure - Data Frames/4. Data Frames - Creation from Lists.vtt 2.7 KB
• 7. R Data Structure - Data Frames/5. Data Frames - Creation from Lists, Matrices and Vectors.mp4 6 MB
• 7. R Data Structure - Data Frames/5. Data Frames - Creation from Lists, Matrices and Vectors.vtt 4 KB
• 7. R Data Structure - Data Frames/6. Data Frames - Everything you need to know about Subsetting.vtt 18.6 KB
• 7. R Data Structure - Data Frames/7. Data Frames - Handling Missing Values like Pros!.vtt 11.9 KB
• 7. R Data Structure - Data Frames/8. Data Frames - Imputing Missing Values like Pros!.vtt 17.4 KB
• 7. R Data Structure - Data Frames/9. Data Frames - Advanced Subsetting Techniques for robust analytics.vtt 14.7 KB
• 8. R Control Structures/1. While Loops in R.vtt 6.3 KB
• 8. R Control Structures/2. For Loops in R - Intro and Practical Use-Cases.vtt 13.7 KB
• 8. R Control Structures/3. If Else Structures in R.vtt 5.5 KB
• 8. R Control Structures/4. If Else Structures in R (2).vtt 10.2 KB
• 8. R Control Structures/5. If Else Structures in R (3).mp4 6.2 MB
• 8. R Control Structures/5. If Else Structures in R (3).vtt 4.1 KB
• 9. Data Science Application in R - Automated Web Scraping Bot/1. Web Scraping - Setting Context + Highlighting Use-Cases.vtt 15.3 KB
• 9. Data Science Application in R - Automated Web Scraping Bot/1.1 r_web_scraping.pdf.pdf 145.1 KB
• 9. Data Science Application in R - Automated Web Scraping Bot/11. Web Scraping on Steroids - XPath in R!.vtt 9.2 KB
• 9. Data Science Application in R - Automated Web Scraping Bot/11.1 r_xpath.pdf.pdf 223.5 KB
• 9. Data Science Application in R - Automated Web Scraping Bot/12. Web Scraping on Steroids - XPath in R (2).mp4 2.3 MB
• 9. Data Science Application in R - Automated Web Scraping Bot/12. Web Scraping on Steroids - XPath in R (2).vtt 1 KB
• 9. Data Science Application in R - Automated Web Scraping Bot/15. Automating Web Scraping - RSelenium!.vtt 6 KB
• 9. Data Science Application in R - Automated Web Scraping Bot/15.1 r_selenium.pdf.pdf 223.8 KB
• 9. Data Science Application in R - Automated Web Scraping Bot/17. Automated Web Scraping - installing RSelenium in R.vtt 6.5 KB
• 9. Data Science Application in R - Automated Web Scraping Bot/18. Automated Web Scraping - Initialising RSelenium Server.vtt 7.1 KB
• 9. Data Science Application in R - Automated Web Scraping Bot/2. Web Scraping - One Simple yet Powerful Way to do so!.vtt 14.5 KB
• 9. Data Science Application in R - Automated Web Scraping Bot/21. Web Scraping Use Case Context Setting.vtt 7.3 KB
• 9. Data Science Application in R - Automated Web Scraping Bot/22. Web Scraping Pipeline - Deep dive of workflow pattern.vtt 9.3 KB
• 9. Data Science Application in R - Automated Web Scraping Bot/23. Systematic analysis of website for efficient Scraping.vtt 6.6 KB
• 9. Data Science Application in R - Automated Web Scraping Bot/24. Installing and Loading RSelenium.vtt 5.1 KB
• 9. Data Science Application in R - Automated Web Scraping Bot/25. Starting Selenium Server - The right way!.vtt 6.9 KB
• 9. Data Science Application in R - Automated Web Scraping Bot/26. Handling RSelenium's Driver Issues.mp4 3.6 MB
• 9. Data Science Application in R - Automated Web Scraping Bot/26. Handling RSelenium's Driver Issues.vtt 1.8 KB
• 9. Data Science Application in R - Automated Web Scraping Bot/26.1 gecko_driver_download_link.txt.txt 39 B
• 9. Data Science Application in R - Automated Web Scraping Bot/3. Web Scraping - Use Case Custom Churn Analysis.vtt 10.4 KB
• 9. Data Science Application in R - Automated Web Scraping Bot/33. Advanced Data Munging - Discretizing Continuous Values.vtt 11.1 KB
• 9. Data Science Application in R - Automated Web Scraping Bot/34. Advanced Data Frames Manipulation.vtt 13.6 KB
• 9. Data Science Application in R - Automated Web Scraping Bot/35. Orchestrating Automation of Web Scraping Routine.vtt 8.7 KB
• 9. Data Science Application in R - Automated Web Scraping Bot/35.1 final_script_web_scraping.txt.txt 6.7 KB
• 9. Data Science Application in R - Automated Web Scraping Bot/6. Use Case Custom Churn - Performing Data Cleansing.vtt 13 KB
• 9. Data Science Application in R - Automated Web Scraping Bot/7. Web Scraping - Contextual understanding of HTML.vtt 3.5 KB
• 9. Data Science Application in R - Automated Web Scraping Bot/7.1 r_html.pdf.pdf 156.6 KB
• 9. Data Science Application in R - Automated Web Scraping Bot/8. Web Scraping - Contextual Understanding of HTML Tags.vtt 12.8 KB
• ReadMe.txt 669 B

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