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Video Courses
R Programming A-Z™: R For Data Science With Real Exercises!
1713 students
Last updated
Dec 2023
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Overview
Course content
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Course content
Sections:
8
•
Activities:
0
•
Resources:
76
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Section 1
1. Hit The Ground Running
1. Welcome to the R Programming Course!
2. Updates on Udemy Reviews
3. Installing R and R Studio (MAC & Windows)
5. Exercise - Get Excited!
Section 2
2. Core Programming Principles
1. Welcome to this section. This is what you will learn!
2. Types of variables
3. Using Variables
4. Logical Variables and Operators
5. The While Loop
6. Using the console
7. The For Loop
8. The If statement
9. Section Recap
10. HOMEWORK Law of Large Numbers
Section 3
3. Fundamentals Of R
1. Welcome to this section. This is what you will learn!.
2. What is a Vector
3. Let's create some vectors
4. Using the [] brackets
5. Vectorized operations
6. The power of vectorized operations
7. Functions in R
8. Packages in R
9. Section Recap
10. HOMEWORK Financial Statement Analysis
Section 4
4. Matrices
1. Welcome to this section. This is what you will learn
2. Project Brief Basketball Trends
3. Matrices
4. Building Your First Matrix
5. Naming Dimensions
6. Colnames() and Rownames()
7. Matrix Operations
8. Visualizing With Matplot()
9. Subsetting
10. Visualizing Subsets
11. Creating Your First Function
12. Basketball Insights
13. Section Recap
14. HOMEWORK Basketball Free Throws
Section 5
5. Data Frames
1. Welcome to this section. This is what you will learn!
2. Project Brief Demographic Analysis
3. Importing data into R
4. Exploring your dataset
5. Using the $ sign
6. Basic operations with a Data Frame
7. Filtering a Data Frame
8. Introduction to qplot
9. Visualizing With Qplot Part I
10. Building Dataframes
11. Merging Data Frames
12. Visualizing With Qplot Part II
13. Section Recap
14. HOMEWORK World Trends
Section 6
6. Advanced Visualization With GGPlot2
1. Welcome to this section. This is what you will learn!
2. Project Brief Movie Ratings
3. Grammar Of Graphics - GGPlot2
4. What is a Factor
5. Aesthetics
6. Plotting With Layers
7. Overriding Aesthetics
8. Mapping vs Setting
9. Histograms and Density Charts
10. Starting Layer Tips
11. Statistical Transformations
12. Using Facets
13. Coordinates
14. Perfecting By Adding Themes.
15. Section Recap
16. HOMEWORK Movie Domestic % Gross
Section 7
7. Homework Solutions
1. Homework Solution Section 2 Law Of Large Numbers
2. Homework Solution Section 3 Financial Statement Analysis.
3. Homework Solution Section 4 Basketball Free Throws
4. Homework Solution Section 5 World Trends
5. Homework Solution Section 6 Movie Domestic Gross (Part 1)
6. Homework Solution Section 6 Movie Domestic % Gross (Part 2)
7.THANK YOU bonus video
Section 8
8. Bonus Tutorials
1. BoxPlots
Instructors
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R Programming A-Z™: R For Data Science With Real Exercises!
Course modified date:
30 Dec 2023
Enrolled students:
1713
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