The R Toolkit
About the Workshops
Learn the fundamentals of the R Programming language, then apply it to statistical analysis, visualizations and machine learning. Learn Variables, Vectors, Matrices, loops, Functions, Packages, Plotting, K-Means clustering, Decision Trees and more
This course teaches R from the basics, so no programming experience is required to take this class. That being said, you will benefit most if you already have a strong foundation in mathematics and statistics.
R is a great choice as a 2nd programming language. If you’re already well versed in a general-purpose language, then you’ll be able to appreciate how well-suited R is to statistical analysis and data science.
If you already have a strong foundation in R or Data Science in general, then this course may be review for you. Please review the curriculum below to make sure we’re covering topics that interest you.
41 Lectures, 10 Homeworks, 3 Large Projects
- 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