[social4i size=”large” align=”float-right”] In order to get the discount, simply click choose a link below and when paying use the promo code: JULY20310 Udemy is offering readers of R-bloggers access to its global online learning marketplace for only $10 per course! This deal (offering over 50%-90% discount) is for hundreds of their courses – including many R-Programming, data science, machine learning etc. Click here to browse ALL (R and non-R) courses Advanced R courses: 

• The Comprehensive Programming in R Course (25 Hours of video)
• Bayesian Computational Analyses with R (12 Hours of video)
• R Programming for Simulation and Monte Carlo Methods (12 Hours of video)
• Applied Multivariate Analysis with R (13 Hours of video)
• Linear Mixed-Effects Models with R (11 Hours of video)
• Graphs in R (ggplot2, plotrix, base R) – Data Visualization with R Programming Language (5 Hours of video)
• Multivariate Data Visualization with R (7 Hours of video)
• More Data Mining with R (11 Hours of video)
• Text Mining, Scraping and Sentiment Analysis with R (4 Hours of video)
• Programming Statistical Applications in R (12 Hours of video)
• Comprehensive Linear Modeling with R (15 Hours of video)
• Time Series Analysis and Forecasting in R (3 Hours of video)

Introductory R courses: 

• 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)

Non R courses for data science: 

• 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)