Introduction to R

Description

In this course, you will learn :

• To educate you on the fundamentals of R
• To accelerate your learning of R through practice
• 90 videos (15+ hours)
• 140+ exercise problems

Syllabus :

1. Your first R Session

• Finding your way around R
• Basic Commands
• Operators
• Miscellaneous
• Intro to R Studio

 

2. Basics - Objects and Data Types

• Data Types
• Object Types
• Vectors
• Arrays and Matrices
• Factors and Lists
• Data Frames and Tables

 

3. Importing Data into R

• Text Files
• Spreadsheets - Excel Files

 

4. Data Mining/Manipulation

• Vector Operations
• Array Operations
• Matrix Operations
• Data Frame Operations
• Factor Operations
• Operations on Text
• Operations on Dates

 

5. Loops and Conditions

• Loops and Conditions

 

6. Statistics

• Descriptive Statistics
• Probability Distributions
• Exercise Answers - Probability Distributions
• Hypothesis Testing - One and Two Sample T-tests
• Exercise Answers - Hypothesis Testing - One and Two Sample T-tests
• Hypothesis Testing - KS-test and F-test
• Linear Modeling - Working with Formula Objects
• Linear Modeling - Generating a Linear Model
• Linear Modeling - Updating a Linear Model
• Generalized Linear Models
• Non-Linear Regression
• Tree Models

 

7. Graphics

• Univariate Plots
• Multivariate Plots
• Formatting a Plot - Points
• Formatting a Plot - Lines
• Formatting a Plot - Regions and Layout
• Formatting a Plot - Axes
• Formatting a Plot - Text
• Formatting a Plot - Color
• Miscellaneous

 

8. Exporting Data out of R

• Text files
• Exercise Answers - Text Files
• Graphics

 

9. Working with Functions

• Creating Functions
• Exercise Answers - Creating Functions
• Arguments of a Function
• Exercise Answers - Arguments of a Function

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