Five courses in R are starting tomorrow and the next two months on Statistics.com. You may use the code “2

**qR-blogger-17**″ when registering (offering a reduced rate of $399 instead of, around, $589 a course). List of R courses:**May 5**: Mapping in R taught by Chris Brunsdon, (Director of the National Centre for Geocomputation, at the National University of Ireland, and the co-author of the R package*GISTools)*– take this f you’ve had some programming, or command line scripting.**May 5**: Graphics in R taught by Paul Murrell (Senior Lecturer in the Department of Statistics at the University of Auckland, New Zealand and author of Graphics in R) – take this course to get under the hood and look at core R graphics functions.**June 16**: R for Statistical Analysis taught by John Verzani, (City University of NY College of Staten Island and the author*Using R for Introductory Statistics*) – take this to learn R via your existing knowledge of basic statistics.**June 23**: Data Mining in R taught by Dr. Inbal Yahav, (a faculty member at the Graduate School of Business Administration, Bar-Ilan University, Israel, and co-author of the text*Data Mining For Business Analytics Using R*) – take this to learn how to partition data and use a holdout sample, how to measure the performance of predictive models, and what to do about the problem of overfitting.**July 21**: Visualization in R with ggplot2, first introduced at Statistics.com by Hadley Wickham and now taught by Randall Pruim, (Chair of Math & Stats at Calvin College, and author of the*Mosaic Package for R*) – Learn how to use the ggplot R Project to make, format, label and adjust graphs using R.

There are no set hours when you must be online, and we estimate you will need about 15 hours per week. The instructor will be available to answer participant questions via a private discussion board throughout the period. These are not ‘MOOCs’ (massive online courses) — enrollment is limited, and your instructor will respond to each question that you ask.

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.

Save $150 in fees if you register at the same time for two courses – most of the above courses will also be given later in 2017, so you could sign up for one course now and one later. 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.

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

www.statistics.com/course-catalog/