Statistics.com is an online learning website with 100+ courses in statistics, analytics, data mining, text mining, forecasting, social network analysis, spatial analysis, etc.

They have kindly agreed to offer R-Bloggers readers a reduced rate of $399 for any of their 23 courses in R, Python, SQL or SAS (a saving of $150-$200). These are high-impact courses, each 4-weeks long (normally costing up to $589). They feature hands-on exercises and projects and the opportunity to receive answers online from leading experts like Paul Murrell (member of the R core development team), Chris Brunsdon (co-developer of the GISTools package), Ben Baumer (former statistician for the NY Mets baseball team), and others. These instructors will answer all your questions (via a private discussion forum) over a 4-week period.

You may use the code “**R-Blogger16**″ when registering. You can register for any R, Python, Hadoop, SQL or SAS course starting on any date. Here is a list of the R related courses:

Using R as a statistical package

- R for Statistical Analysis
- Modeling in R
- Visualization in R using ggplot2
- Graphics in R
- Logistic Regression
- Bayesian Statistics in R

Building R programming skills – for those familiar with R, or experienced with other programming languages or statistical computing environments

- R Programming – Intermediate One year of daily R use required before taking this course
- R Programming – Advanced Two years of daily R use required before taking this course

Applying R to specific domains or applications

- Applied Predictive Analytics
- SQL and R – Introduction to Database Queries
- Biostatistics in R with Clinical Trial Applications
- Data Mining in R
- Mapping in R
- Spatial Analysis Using R

You may pick any of the R courses from their catalog page:

www.statistics.com/course-catalog/