Udemy - R Programming Hands-On Specialization For Data Science (Lv1) [TP]

  • CategoryOther
  • TypeTutorials
  • LanguageEnglish
  • Total size1 GB
  • Uploaded Bytutplanet
  • Downloads44
  • Last checkedAug. 05th '19
  • Date uploadedAug. 03rd '19
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R Programming Hands-On Specialization For Data Science (Lv1)





R is considered as lingua franca of Data Science. Candidates with expertise in R programming language are in exceedingly high demand and paid lucratively in Data Science. IEEE has repeatedly ranked R as one of the top and most popular Programming Languages. Almost every Data Science and Machine Learning job posted globally mentions the requirement for R language proficiency. All the top ranked universities like MIT have included R in their respective Data Science courses curriculum.

With its growing community of users in Open Source space, R allows you to productively work on complex Data Analysis and Data Science projects to acquire, transform/cleanse, analyse, model and visualise data to support informed decision making. But there’s one catch: R has quite a steep learning curve!

Files:

[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

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