Course info

The course covers practical issues in statistical computing that include programming in R, reading data into R, accessing R packages, writing R functions, debugging, profiling R code, and organizing and commenting on R code. Blending practical work with solid theoretical training, we take you from the basics of R programming to mastery.

•  Identify data cleaning, processing, wrangling, and manipulation
•  Utilize plotting in R (graphs, charts, plots, histograms, and more)
•  Create a resume and land your first job as a data scientist
•  Define machine learning and its various practical applications
•  Utilize data and file management in R
•  Use R to clean, analyze, and visualize data