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Download Udemy - R Programming Hands-On Specialization For Data Science TP Lv1

Download Udemy - R Programming Hands-On Specialization For Data Science TP Lv1
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Title: Udemy - R Programming Hands-On Specialization For Data Science
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[Tutorialsplanet.NET] Udemy - R Programming Hands-on Specialization for Data Science (Lv1) 1. Introduction
  • 1. Warm Welcome!.mp4 (5.3 MB)
  • 1. Warm Welcome!.vtt (4.3 KB)
  • 2. Why you should learn R.mp4 (22.9 MB)
  • 2. Why you should learn R.vtt (13.1 KB)
  • 3. What you will learn in this course.mp4 (14.9 MB)
  • 3. What you will learn in this course.vtt (9.9 KB)
2. R Fundamentals
  • 1. Installing R (console) and RStudio (IDE).mp4 (13.6 MB)
  • 1. Installing R (console) and RStudio (IDE).vtt (9.4 KB)
  • 1.1 1_R_intro.pdf.pdf (152.7 KB)
  • 2. Getting to know R - Setting Context.mp4 (3.6 MB)
  • 2. Getting to know R - Setting Context.vtt (2.7 KB)
  • 3. R Basics - Working Directory, Environment Variables and more!.mp4 (27.5 MB)
  • 3. R Basics - Working Directory, Environment Variables and more!.vtt (15.5 KB)
  • 4. R Basics - Loading and Executing R scripts from local file system.mp4 (11.7 MB)
  • 4. R Basics - Loading and Executing R scripts from local file system.vtt (6.7 KB)
  • 5. Handling Working Directory.html (0.1 KB)
3. R Data Types
  • 1. R Atomic Data Types Intro - What you must know about Numeric and Integers in R.mp4 (17.8 MB)
  • 1. R Atomic Data Types Intro - What you must know about Numeric and Integers in R.vtt (11.0 KB)
  • 1.1 r_data_types_1.pdf.pdf (188.7 KB)
  • 2. Complex and Character Data Types (Atomic).mp4 (9.6 MB)
  • 2. Complex and Character Data Types (Atomic).vtt (6.7 KB)
  • 3. Character Data Type (Atomic) + Important Data Transformation Functions (1).mp4 (8.5 MB)
  • 3. Character Data Type (Atomic) + Important Data Transformation Functions (1).vtt (5.9 KB)
  • 4. Character Data Type (Atomic) + Important Data Transformation Functions (2).mp4 (6.9 MB)
  • 4. Character Data Type (Atomic) + Important Data Transformation Functions (2).vtt (4.3 KB)
  • 5. Character Data Type (Atomic) + Important Data Transformation Functions (3).mp4 (13.8 MB)
  • 5. Character Data Type (Atomic) + Important Data Transformation Functions (3).vtt (8.7 KB)
  • 6. Logical Data Type (Atomic) and Its known Implications.mp4 (8.3 MB)
  • 6. Logical Data Type (Atomic) and Its known Implications.vtt (5.3 KB)
  • 7. Atomic Data Types and Nuances in Coercioning (ExplicitImplicit).mp4 (16.1 MB)
  • 7. Atomic Data Types and Nuances in Coercioning (ExplicitImplicit).vtt (10.7 KB)
  • 8. Data Types Coercions.html (0.1 KB)
4. R Data Structure - Vectors
  • 1. Vectors - Creation, Homogeneity, Coercion Implications and Important Functions!.mp4 (23.5 MB)
  • 1. Vectors - Creation, Homogeneity, Coercion Implications and Important Functions!.vtt (14.7 KB)
  • 1.1 r_vectors.pdf.pdf (135.5 KB)
  • 2. Vectors - Comparing different ways to create vectors in R!.mp4 (11.2 MB)
  • 2. Vectors - Comparing different ways to create vectors in R!.vtt (6.7 KB)
  • 3. Vectors - Understanding Indexing like never before!.mp4 (19.7 MB)
  • 3. Vectors - Understanding Indexing like never before!.vtt (10.9 KB)
  • 4. Vectors - Indexing (Out of Bound scenarios) and How Pros use it!.mp4 (19.3 MB)
  • 4. Vectors - Indexing (Out of Bound scenarios) and How Pros use it!.vtt (11.9 KB)
  • 5. Vectors - Flatness property and its critical implications in Indexing!.mp4 (10.8 MB)
  • 5. Vectors - Flatness property and its critical implications in Indexing!.vtt (6.6 KB)
  • 6. Vectors - Labels and their Advanced Usage in Indexing.mp4 (16.6 MB)
  • 6. Vectors - Labels and their Advanced Usage in Indexing.vtt (9.2 KB)
  • 7. Vectors - Assigning Attributes and its use-case as Metadata.mp4 (10.6 MB)
  • 7. Vectors - Assigning Attributes and its use-case as Metadata.vtt (6.3 KB)
  • 8. Indexing Vectors.html (0.1 KB)
5. R Data Structure - Matrices
  • 1. Matrices - Getting Acquainted, Creation and its operational functions!.mp4 (17.6 MB)
  • 1. Matrices - Getting Acquainted, Creation and its operational functions!.vtt (12.7 KB)
  • 1.1 r_matrices.pdf.pdf (225.6 KB)
  • 2. Matrices - Creation and Implications related to its Dimensions.mp4 (11.7 MB)
  • 2. Matrices - Creation and Implications related to its Dimensions.vtt (8.0 KB)
  • 3. Matrices - Creation from Vectors + Naming Dimensions (Explicit, Implicit).mp4 (24.1 MB)
  • 3. Matrices - Creation from Vectors + Naming Dimensions (Explicit, Implicit).vtt (16.6 KB)
  • 4. Matrices - Dimensions (Advanced) and Intro to Indexing.mp4 (7.6 MB)
  • 4. Matrices - Dimensions (Advanced) and Intro to Indexing.vtt (5.3 KB)
  • 5. Matrices - Indexing Continued.mp4 (6.5 MB)
  • 5. Matrices - Indexing Continued.vtt (4.1 KB)
  • 6. Matrices - Advanced Indexing using DimensionNames.mp4 (7.9 MB)
  • 6. Matrices - Advanced Indexing using DimensionNames.vtt (5.3 KB)
  • 7. Matrices - Even more Advanced Indexing!.mp4 (13.9 MB)
  • 7. Matrices - Even more Advanced Indexing!.vtt (8.7 KB)
  • 8. Matrices - Operations!.mp4 (11.3 MB)
  • 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.mp4 (11.4 MB)
  • 1. Lists - Getting Introduced to one of the most powerful data structures in R.vtt (7.3 KB)
  • 1.1 r_lists.pdf.pdf (118.0 KB)
  • 2. Lists - Comparing with Vectors w.r.t Heterogeneity and Introducing Indexing.mp4 (8.7 MB)
  • 2. Lists - Comparing with Vectors w.r.t Heterogeneity and Introducing Indexing.vtt (6.0 KB)
  • 3. Lists - Comprehending their Recursive Nature in comparison with Vectors.mp4 (6.7 MB)
  • 3. Lists - Comprehending their Recursive Nature in comparison with Vectors.vtt (4.1 KB)
  • 4. Lists - Converting to and from Vectors and implications (coercion, flatness).mp4 (8.4 MB)
  • 4. Lists - Converting to and from Vectors and implications (coercion, flatness).vtt (6.2 KB)
  • 5. Lists - Nuances in Determining Length in the context of Recursiveness.mp4 (8.0 MB)
  • 5. Lists - Nuances in Determining Length in the context of Recursiveness.vtt (5.0 KB)
  • 6. Lists - Nuances in Determining Length and Class of Elements.mp4 (11.3 MB)
  • 6. Lists - Nuances in Determining Length and Class of Elements.vtt (7.3 KB)
  • 7. List - Advanced Indexing also using Labels.mp4 (15.8 MB)
  • 7. List - Advanced Indexing also using Labels.vtt (9.7 KB)
  • 8. List - Comparison of Indexing ways and Implications.mp4 (9.9 MB)
  • 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.mp4 (18.7 MB)
  • 1. Data Frames - Introducing The holy grail of processing Structured Data.vtt (11.4 KB)
  • 1.1 r_data_frames.pdf.pdf (130.4 KB)
  • 2. Data Frames - Creation and important functions for Basic Exploratory Analysis.mp4 (25.2 MB)
  • 2. Data Frames - Creation and important functions for Basic Exploratory Analysis.vtt (16.3 KB)
  • 3. Data Frames - More Important Functions for Basic Exploratory Analysis.mp4 (17.1 MB)
  • 3. Data Frames - More Important Functions for Basic Exploratory Analysis.vtt (11.1 KB)
  • 4. Data Frames - Creation from Lists.mp4 (3.8 MB)
  • 4. Data Frames - Creation from Lists.vtt (2.7 KB)
  • 5. Data Frames - Creation from Lists, Matrices and Vectors.mp4 (6.0 MB)
  • 5. Data Frames - Creation from Lists, Matrices and Vectors.vtt (4.0 KB)
  • 6. Data Frames - Everything you need to know about Subsetting.mp4 (29.6 MB)
  • 6. Data Frames - Everything you need to know about Subsetting.vtt (18.6 KB)
  • 7. Data Frames - Handling Missing Values like Pros!.mp4 (20.4 MB)
  • 7. Data Frames - Handling Missing Values like Pros!.vtt (11.9 KB)
  • 8. Data Frames - Imputing Missing Values like Pros!.mp4 (28.3 MB)
  • 8. Data Frames - Imputing Missing Values like Pros!.vtt (17.4 KB)
  • 9. Data Frames - Advanced Subsetting Techniques for robust analytics.mp4 (25.8 MB)
  • 9. Data Frames - Advanced Subsetting Techniques for robust analytics.vtt (14.7 KB)
8. R Control Structures
  • 1. While Loops in R.mp4 (10.1 MB)
  • 1. While Loops in R.vtt (6.3 KB)
  • 2. For Loops in R - Intro and Practical Use-Cases.mp4 (22.0 MB)
  • 2. For Loops in R - Intro and Practical Use-Cases.vtt (13.7 KB)
  • 3. If Else Structures in R.mp4 (8.4 MB)
  • 3. If Else Structures in R.vtt (5.5 KB)
  • 4. If Else Structures in R (2).mp4 (18.2 MB)
  • 4. If Else Structures in R (2).vtt (10.2 KB)
  • 5. If Else Structures in R (3).mp4 (6.2 MB)
  • 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.mp4 (24.0 MB)
  • 1. Web Scraping - Setting Context + Highlighting Use-Cases.vtt (15.3 KB)
  • 1.1 r_web_scraping.pdf.pdf (145.1 KB)
  • 11. Web Scraping on Steroids - XPath in R!.mp4 (17.6 MB)
  • 11. Web Scraping on Steroids - XPath in R!.vtt (9.2 KB)
  • 11.1 r_xpath.pdf.pdf (223.5 KB)
  • 12. Web Scraping on Steroids - XPath in R (2).mp4 (2.3 MB)
  • 12. Web Scraping on Steroids - XPath in R (2).vtt (1.0 KB)
  • 15. Automating Web Scraping - RSelenium!.mp4 (8.6 MB)
  • 15. Automating Web Scraping - RSelenium!.vtt (6.0 KB)
  • 15.1 r_selenium.pdf.pdf (223.8 KB)
  • 17. Automated Web Scraping - installing RSelenium in R.mp4 (9.1 MB)
  • 17. Automated Web Scraping - installing RSelenium in R.vtt (6.5 KB)
  • 18. Automated Web Scraping - Initialising RSelenium Server.mp4 (10.7 MB)
  • 18. Automated Web Scraping - Initialising RSelenium Server.vtt (7.1 KB)
  • 2. Web Scraping - One Simple yet Powerful Way to do so!.mp4 (33.7 MB)
  • 2. Web Scraping - One Simple yet Powerful Way to do so!.vtt (14.5 KB)
  • 21. Web Scraping Use Case Context Setting.mp4 (10.6 MB)
  • 21. Web Scraping Use Case Context Setting.vtt (7.3 KB)
  • 22. Web Scraping Pipeline - Deep dive of workflow pattern.mp4 (13.8 MB)
  • 22. Web Scraping Pipeline - Deep dive of workflow pattern.vtt (9.3 KB)
  • 23. Systematic analysis of website for efficient Scraping.mp4 (22.1 MB)
  • 23. Systematic analysis of website for efficient Scraping.vtt (6.6 KB)
  • 24. Installing and Loading RSelenium.mp4 (9.5 MB)
  • 24. Installing and Loading RSelenium.vtt (5.1 KB)
  • 25. Starting Selenium Server - The right way!.mp4 (13.0 MB)
  • 25. Starting Selenium Server - The right way!.vtt (6.9 KB)
  • 26. Handling RSelenium's Driver Issues.mp4 (3.6 MB)
  • 26. Handling RSelenium's Driver Issues.vtt (1.8 KB)
  • 26.1 gecko_driver_download_link.txt.txt (0.0 KB)
  • 3. Web Scraping - Use Case Custom Churn Analysis.mp4 (25.0 MB)
  • 3. Web Scraping - Use Case Custom Churn Analysis.vtt (10.4 KB)
  • 33. Advanced Data Munging - Discretizing Continuous Values.mp4 (25.6 MB)
  • 33. Advanced Data Munging - Discretizing Continuous Values.vtt (11.1 KB)
  • 34. Advanced Data Frames Manipulation.mp4 (33.7 MB)
  • 34. Advanced Data Frames Manipulation.vtt (13.6 KB)
  • 35. Orchestrating Automation of Web Scraping Routine.mp4 (21.4 MB)
  • 35. Orchestrating Automation of Web Scraping Routine.vtt (8.7 KB)
  • 35.1 final_script_web_scraping.txt.txt (6.7 KB)
  • 6. Use Case Custom Churn - Performing Data Cleansing.mp4 (23.8 MB)
  • 6. Use Case Custom Churn - Performing Data Cleansing.vtt (13.0 KB)
  • 7. Web Scraping - Contextual understanding of HTML.mp4 (10.5 MB)
  • 7. Web Scraping - Contextual understanding of HTML.vtt (3.5 KB)
  • 7.1 r_html.pdf.pdf (156.6 KB)
  • 8. Web Scraping - Contextual Understanding of HTML Tags.mp4 (20.9 MB)
  • 8. Web Scraping - Contextual Understanding of HTML Tags.vtt (12.8 KB)
  • [Tutorialsplanet.NET].url (0.1 KB)

  • Info

    Instructor of Apache Spark and R Programming courses on Udemy with thousands of students enrolled from all around the world.

    Instructor of Apache Spark and R Programming courses on Udemy with thousands of students enrolled from all around the world. Designated author of the largest Data Science publication (Towards Data Science) on Medium. Speaker at DataWorks Summit in 2017 in Sydney on in-memory Big Data Technologies.

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Udemy - R Programming Hands-On Specialization For Data Science TP Lv1