Overview
Dive into the fundamentals of R programming in this comprehensive tutorial designed for beginners in statistical computing. Learn how to install R and RStudio, work with packages, and create various types of plots including bar charts, histograms, and scatterplots. Explore data manipulation techniques, understand different data formats, and master the use of factors. Gain hands-on experience in entering and importing data, and delve into advanced statistical methods such as hierarchical clustering, principal component analysis, and regression. By the end of this 2-3 hour tutorial, you'll have a solid foundation in R programming and be ready to apply your skills to real-world data science projects.
Syllabus
) Welcome.
) Installing R.
) RStudio.
) Packages.
) plot().
) Bar Charts.
) Histograms.
) Scatterplots.
) Overlaying Plots.
) summary().
) describe().
) Selecting Cases.
) Data Formats.
) Factors.
) Entering Data.
) Importing Data.
) Hierarchical Clustering.
) Principal Components.
) Regression.
) Next Steps.
Taught by
freeCodeCamp.org