Introduction to R

Introduction to R: Learn the Fundamentals with This Free Course

Update: Free as of November 22, 2018!

Gain a strong foundation in the R language with this comprehensive course. This course offers approximately 90 videos and over 140 exercise questions, spanning more than 10 chapters. Perfect for both beginners and those with some R experience.

What You'll Learn:

• Getting Started: Download and install R and RStudio on your computer. Master the basics of your first R session.
• Data Handling: Understand Data/Object Types and Operations in R. Learn how to import data into R for analysis. Explore the use of Loops and Conditions.
• R for Analytics: Discover how to apply R in data mining and analytical operations. Learn about various R object types and their use in data analysis.
• R for Statistics: Evaluate Descriptive Statistics, Probability Distributions, and perform Hypothesis Testing in R. Explore Linear Modeling, Generalized Linear Models, Non-Linear Regression, and Tree-based methods.
• Data Visualization: Create compelling 2-dimensional Univariate and Multi-variate plots. Master plot formatting, including Layout, Region, Points, Lines, Axes, Text, and Color.
• Advanced Techniques: Learn how to export your R results and create custom functions to streamline your workflow.

Why Learn R with This Course?

This course is designed to accelerate your learning journey. The content is structured to provide a solid grounding in R fundamentals quickly. We avoid overly technical jargon and focus on clear, simple explanations.

Key Features:

• Comprehensive Coverage: Covers a broad range of R topics, from basic data manipulation to advanced statistical modeling and data visualization.
• Hands-on Practice: Over 140+ exercise questions, many using real-world datasets, to reinforce your understanding and build practical skills.
• Structured Learning: Each chapter is broken down into manageable sub-sections: a concept video, an exercise sheet, and an exercise video with answers.
• Quick Results: Designed to get you functionally proficient with R in a little over a week.
• Ideal for All Levels: Whether you're a complete beginner or have some prior experience, this course will help you expand your R skills.