[Tutorialsplanet.NET] Udemy - R Programming Hands-on Specialization for Data Science (Lv1)

[Tutorialsplanet.NET] Udemy - R Programming Hands-on Specialization for Data Science (Lv1)

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Size
1 GB
Seeders
0
Leechers
3
Files
99
Category
Other
Added
08/02/19 at 7:31pm GMT+1
Infohash
c1c6c85611b6c9db1379817aa1f8e8d4cfb01144

Description
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!

File list
  • [Tutorialsplanet.NET] Udemy - 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.mp4 22.9 MB
  • 1. Introduction/2. Why you should learn R.vtt 13.1 KB
  • 1. Introduction/3. What you will learn in this course.mp4 14.9 MB
  • 1. Introduction/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
  • 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!.mp4 27.5 MB
  • 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.mp4 11.7 MB
  • 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.mp4 17.8 MB
  • 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).mp4 9.6 MB
  • 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).mp4 8.5 MB
  • 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).mp4 6.9 MB
  • 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).mp4 13.8 MB
  • 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.mp4 8.3 MB
  • 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).mp4 16.1 MB
  • 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!.mp4 23.5 MB
  • 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!.mp4 11.2 MB
  • 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!.mp4 19.7 MB
  • 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!.mp4 19.3 MB
  • 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!.mp4 10.8 MB
  • 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.mp4 16.6 MB
  • 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.mp4 10.6 MB
  • 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!.mp4 17.6 MB
  • 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.mp4 11.7 MB
  • 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).mp4 24.1 MB
  • 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.mp4 7.6 MB
  • 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.mp4 7.9 MB
  • 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!.mp4 13.9 MB
  • 5. R Data Structure - Matrices/7. Matrices - Even more Advanced Indexing!.vtt 8.7 KB
  • 5. R Data Structure - Matrices/8. Matrices - Operations!.mp4 11.3 MB
  • 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.mp4 11.4 MB
  • 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.mp4 8.7 MB
  • 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).mp4 8.4 MB
  • 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.mp4 8 MB
  • 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.mp4 11.3 MB
  • 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.mp4 15.8 MB
  • 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.mp4 9.9 MB
  • 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.mp4 18.7 MB
  • 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.mp4 25.2 MB
  • 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.mp4 17.1 MB
  • 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.mp4 29.6 MB
  • 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!.mp4 20.4 MB
  • 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!.mp4 28.3 MB
  • 7. R Data Structure - Data Frames/8. Data Frames - Imputing Missing Values like Pros!.vtt 17.4 KB

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