By Tal Galili

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:**** **

- Regression modelling
- Comprehensive Linear Modeling with R (15 Hours of video)
- Linear regression in R for Data Scientists (7 hours)
- Linear Mixed-Effects Models with R (11 Hours of video)
- Linear Regression, GLMs and GAMs with R (8 hours)
- Forecasting Models with R (5 hours)
- Time Series Analysis and Forecasting in R (3 Hours of video)
- Regression, Data Mining, Text Mining, Forecasting using R (32 hours)

- Statistical/machine learning
- Bayesian Computational Analyses with R (12 Hours of video)
- Data Science and Machine Learning Bootcamp with R (17 hours)
- Decision Tree – Theory, Application and Modeling using R (5 hours)
- Data Mining with R: Go from Beginner to Advanced! (12 hours)
- Machine Learning A-Z: Hands-On Python & R In Data Science (40 hours)
- Applied Multivariate Analysis with R (13 Hours of video)

- Visualization
- 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)

- Other topics
- Create Interactive Web Applications with the R Shiny Package (8 hours)
- More Data Mining with R (11 Hours of video)
- Text Mining, Scraping and Sentiment Analysis with R (4 Hours of video)
- Text Analytics/Text Mining Using R (1 hour)
- Core Spatial Data Analysis: Introductory GIS with R and QGIS (2 hours)
- Spatial Data Analysis with R, QGIS & More (4 hours)

- R programming
- The Comprehensive Programming in R Course (25 Hours of video)
- R Programming for Simulation and Monte Carlo Methods (12 Hours of video)
- Programming Statistical Applications in R (12 Hours of video)
- R Programming A-Z: R For Data Science With Real Exercises! (10 hours)
- R Programming: Advanced Analytics In R For Data Science (6 hours)

**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)

**Top data science courses (not in R):**** **

- 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)

Source:: R News