- The Comprehensive Programming in R Course (25 Hours of video)
 - Graphs in R (ggplot2, plotrix, base R) – Data Visualization with R Programming Language (5 Hours of video)
 - Linear Mixed-Effects Models with R (11 Hours of video)
 - Multivariate Data Visualization with R (7 Hours of video)
 - Applied Multivariate Analysis with R (13 Hours of video)
 - More Data Mining with R (11 Hours of video)
 - Text Mining, Scraping and Sentiment Analysis with R (4 Hours of video)
 - R Programming for Simulation and Monte Carlo Methods (12 Hours of video)
 - Programming Statistical Applications in R (12 Hours of video)
 - Comprehensive Linear Modeling with R (15 Hours of video)
 - Bayesian Computational Analyses with R (12 Hours of video)
 - Time Series Analysis and Forecasting in R (3 Hours of video)
 
- Introduction to R (15 Hours of video)
 - Applied Data Science with R (11 Hours of video)
 - R Level 1 – Data Analytics with R (6 Hours of video)
 - Learn R Programming from Scratch (2 Hours of video)
 - Statistics in R – The R Language for Statistical Analysis (3 Hours of video)
 - Machine Learning and Statistical Modeling with R Examples (3 Hours of video)
 - Introduction To Data Science (6 Hours of video)
 
- Learning Python for Data Analysis and Visualization (20 Hours of video)
 - Taming Big Data with MapReduce and Hadoop – Hands On! (5.5 Hours of video)
 - Tableau 9 Advanced Training: Master Tableau for Data Science (7 Hours of video) (not R, but relevant to R users who wish to create dashboards with interactive visualizations using a GUI, see the post: 6 benefits of learning Tableau)
 
