Section 1: Introduction to Data Science +ML with R from A-Z
- Intro To DS+ML Section Overview
- What is Data Science?
- Machine Learning Overview
- Who is this course for?
- Data Science + Machine Learning Marketplace
- DS+ ML Job Opportunities
- Data Science Job Roles
Section 2: Getting Started with R
- Getting Started
- Basics
- Files
- R Studio
- Tidyverse
- Resources
Section 3: Data Types and Structures in R
- Section Introduction
- Basic Types
- Vectors Part One
- Vectors Part Two
- Vectors: Missing Values
- Vectors: Coercion
- Vectors: Naming
- Vectors: Misc.
- Matrices
- Lists
- Introduction to Data Frames
- Creating Data Frames
- Data Frames: Helper Functions
- Data Frames: Tibbles
Section 4: Intermediate R
- Section Introduction
- Relational Operators
- Logical Operators
- Conditional Statements
- Loops
- Functions
- Packages
- Factors
- Dates & Times
- Functional Programming
- Data Import/Export
- Databases
Section 5: Data Manipulation in R
- Section Introduction
- Tidy Data
- The Pipe Operator
- {dplyr}: The Filter Verb
- {dplyr}: The Select Verb
- {dplyr}: The Mutate Verb
- {dplyr}: The Arrange Verb
- {dplyr}: The Summarize Verb
- Data Pivoting: {tidyr}
- String Manipulation: {stringr}
- Web Scraping: {rvest}
- JSON Parsing: {jsonlite}
Section 6: Data Visualization in R
- Section Introduction
- Getting Started
- Aesthetics Mappings
- Single Variable Plots
- Two-Variable Plots
- Facets, Layering, and Coordinate Systems
- Styling and Saving
Section 7: Creating Reports with R Markdown
- Intro To R Markdown
Section 8: Building Webapps with R Shiny
- Intro to R Shiny
- A Basic Webapp
- Other Examples
Section 9: Introduction to Machine Learning
- Intro to ML Part 1
- Intro to ML Part 2
Section 10: Data Preprocessing
- Section Overview
- Data Preprocessing
Section 11: Linear Regression: A Simple Model
- Section Introduction
- A Simple Model
Section 12: Exploratory Data Analysis
- Section Introduction
- Hands-on Exploratory Data Analysis
Section 13: Linear Regression: A Real Model
- Section Introduction
- Linear Regression in R
Section 14: Logistic Regression
- Logistic Regression Intro
- Logistic Regression in R
Section 15: Starting a Career in Data Science
- Section Overview
- Creating A Data Science Resume
- Getting Started with Freelancing
- Top Freelance Websites
- Personal Branding
- Networking
- Setting Up a Website
Course Content
Promo
Introduction to Data Science +ML with R from A-Z
Getting Started with R
Data Types and Structures in R