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[Tutorialsplanet.NET] Udemy - R Programming Hands-on Specialization For Data Science (Lv1)
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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!
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FILE LIST
Filename
Size
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
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