R Programming: Advanced Analytics In R For Data Science (Udemy)
R Programming: Advanced Analytics In R For Data Science (Udemy) ranks 2nd on the list of best online R Programming courses. If you have a basic understanding of the R programming language and want to advance your skills, this is the R programming course for you. It focuses on data science and analytics, as well as statistical analysis in R. Kirill Eremenko, the instructor, walks you through the complex concepts in a very simplified and easy-to-understand manner.
The course is divided into 51 lectures that cover data preparation, lists in R, and the "Apply" family of functions in depth. You will learn how to prepare data for analysis in R, use the median imputation method, work with date-times in R, use lists in R, use apply functions instead of loops, nest user defined functions with apply-type functions, and so on. This course is not for complete beginners, and assumes basic knowledge of R. Knowledge of GGPlot2 package, dataframes, vectors and vectorized operations is also recommended.
Key Highlights
- Advanced level course for those who want to dive deep in R
- Professional R Video training
- Unique datasets designed with years of industry experience in mind
- Learn to create a timeseries plot in R
- Understand how the Apply family of functions works
- Locate missing data in your dataframes
- Learn to apply Factual Analysis method, Median Imputation method to replace missing records
- Engaging exercises to help correlate analytics in the real world
Duration : 6 hours on-demand video
Rating : 4.7
Enroll here: udemy.com/course/r-analytics
