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Course Curriculum
41 Lectures, 10 Homeworks, 3 Large Projects

1
Course Overview
 Introduction
 Table of Contents
 Download RStudio

2
Data Types
 Introduction to Variables  Part A
 Introduction to Variables  Part B
 Homework #1: Variables

3
Input & Output (I/O)
 Data Input  Part A
 Data Input  Part B
 Data Output
 Homework #2: I/O

4
Control Flow
 Loops
 If Statements  Part A
 If Statements  Part B
 Homework #3: Control Flow

5
Core Concepts in R
 Vectors
 Functions  Part A
 Functions  Part B
 Packages  Part A
 Packages  Part B
 Case Study  Part A
 Case Study  Part B
 Homework #4: Functions
 Project #1

6
Matrices
 Introduction to Matrices
 Homework #5: Matrices

7
Data Frames
 Introduction to Data Frames  Part A
 Introduction to Data Frames  Part B
 Homework: #6: Data Frames

8
Lists
 Introduction to Lists and lapply  Part A
 Introduction to Lists and lapply  Part B
 Homework #7: Lists

9
Data Analysis
 Data Manipulation and dplyr  Part A
 Data Manipulation and dplyr  Part B
 Data Manipulation and dplyr  Part C
 Homework #8: Data Analysis

10
Data Visualization with ggplot
 Basic Plots  Part A
 Basic Plots  Part B
 Additional Plotting  Part A
 Additional Plotting  Part B
 Advanced Plotting  Part A
 Advanced Plotting  Part B
 Homework #9: Visualizations
 Project #2

11
Machine Learning
 Introduction to Machine Learning  Part A
 Introduction to Machine Learning  Part B
 Introduction to Machine Learning  Part C
 Kmeans Clustering  Part A
 Kmeans Clustering  Part B
 Kmeans Clustering  Part C
 Decision Trees  Part A
 Decision Trees  Part B
 Decision Trees  Part C
 Conclusion
 Homework #10: Decision Trees
 Project #3 (Final Exam)

12
Completion Certificate
 How to Get Your Certificate