Data Science with R

Section 1: Introduction to Data Science +ML with R from A-Z

1. Intro To DS+ML Section Overview
2. What is Data Science?
3. Machine Learning Overview
4. Who is this course for?
5. Data Science + Machine Learning Marketplace
6. DS+ ML Job Opportunities 
7. Data Science Job Roles

Section 2: Getting Started with R 

1. Getting Started
2. Basics
3. Files
4. R Studio
5. Tidyverse
6. Resources

Section 3: Data Types and Structures in R

1. Section Introduction
2. Basic Types
3. Vectors Part One
4. Vectors Part Two
5. Vectors: Missing Values
6. Vectors: Coercion
7. Vectors: Naming
8. Vectors: Misc.
9. Matrices
10. Lists
11. Introduction to Data Frames
12. Creating Data Frames
13. Data Frames: Helper Functions
14. Data Frames: Tibbles

Section 4: Intermediate R

1. Section Introduction
2. Relational Operators
3. Logical Operators
4. Conditional Statements
5. Loops
6. Functions
7. Packages
8. Factors
9. Dates & Times
10. Functional Programming
11. Data Import/Export
12. Databases

Section 5: Data Manipulation in R

1. Section Introduction
2. Tidy Data
3. The Pipe Operator
4. {dplyr}: The Filter Verb
5. {dplyr}: The Select Verb
6. {dplyr}: The Mutate Verb
7. {dplyr}: The Arrange Verb
8. {dplyr}: The Summarize Verb
9. Data Pivoting: {tidyr}
10. String Manipulation: {stringr}
11. Web Scraping: {rvest}
12. JSON Parsing: {jsonlite}

Section 6: Data Visualization in R

1. Section Introduction
2. Getting Started
3. Aesthetics Mappings
4. Single Variable Plots
5. Two-Variable Plots
6. Facets, Layering, and Coordinate Systems
7. Styling and Saving

Section 7: Creating Reports with R Markdown

1. Intro To R Markdown

Section 8: Building Webapps with R Shiny

1. Intro to R Shiny
2. A Basic Webapp
3. Other Examples

Section 9: Introduction to Machine Learning

1. Intro to ML Part 1
2. Intro to ML Part 2

Section 10: Data Preprocessing

1. Section Overview
2. Data Preprocessing

Section 11: Linear Regression: A Simple Model

1. Section Introduction
2. A Simple Model

Section 12: Exploratory Data Analysis

1. Section Introduction
2. Hands-on Exploratory Data Analysis

Section 13: Linear Regression: A Real Model

1. Section Introduction
2. Linear Regression in R

Section 14: Logistic Regression

1. Logistic Regression Intro
2. Logistic Regression in R

Section 15: Starting a Career in Data Science

1. Section Overview
2. Creating A Data Science Resume
3. Getting Started with Freelancing
4. Top Freelance Websites
5. Personal Branding
6. Networking 
7. Setting Up a Website