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Switch from SAS, SPSS or STATA to R with Our Latest Course

This course focuses on statisticians, data analysts, academic institutions, and companies that are switching from SAS, SPSS or STATA to R.

If you already know SAS, SPSS or Stata, you don’t need to spend time learning how to analyze data. You need a course that focuses on translating your knowledge into R. A course that facilitates switching from SAS, SPSS or STATA to R. That’s why DataCamp’s latest interactive course focuses on statisticians, data analysts, academic institutions, and companies that are switching (or planning to switch) from these commercial statistical software packages to the free and powerful language R.

Like all DataCamp courses, this new course is self-paced, and offers you a great learning experience via a unique combination of challenging interactive exercises and to the point videos. It is given by Bob Muenchen, one of the leading instructors in the R community, and author of R for SAS and SPSS Users (Springer) and R for Stata Users (Springer).

Supplementary to the course content, Bob offers free email support to all course subscribers. Furthermore, many online classes are yours for only 30 days, or for as long as you make an annual payment. This course is yours "forever". So you can always go back to all the course materials when you need a refresher or some additional information.

Check out the full course, or take the free preview.

About an introduction to R for SAS, SPSS, and STATA users

R is a free and powerful software for data analysis and graphics that is rapidly disrupting the market for data analytical tools and software. It is flexible (no need to wait 6 months for updates), extremely comprehensive (over 6000 packages), cross-platform, and has a great community. However, if you come from another statistical software tool it can be a challenge to master the versatility of R. Enter DataCamp’s new interactive course Introduction to R for SAS, SPSS, and STATA Users. An ideal course for those switching from SAS, SPSS or STATA to R. This course:

  • Introduces R jargon using language you're familiar with.
  • Points out the errors you’re most likely to make. For example, many R functions let you specify which data set to use in a way that looks identical to SAS, but which differs in a way that is likely to lead to perplexing error messages.
  • Demonstrates add-on packages that produce output that is similar your current software’s. R’s built-in functions tend to provide surprisingly sparse output.
  • Covers material to help you migrate to R, or to integrate the use of R into your current software.

In total the course contains over 16 hours of material, 20 chapters, and over a 120 interactive exercises.

Check out the full course, or take the free preview.

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About the instructor

Robert A. Muenchen is the author of R for SAS and SPSS Users and R for Stata Users. He is a consulting statistician with over 30 years of experience and is currently the manager of the Research Computing Support at the University of Tennessee. Bob has conducted research for a variety of public and private organizations and has assisted on more than 1,000 graduate theses and dissertations. His workshops have been attended by people from over 500 organizations. He has written or co-authored over 70 articles published in scientific journals and conference proceedings.

Bob has served on the advisory boards of the SAS Institute, SPSS Inc., the Statistical Graphics Corporation and PC Week Magazine. His suggested improvements have been incorporated into SAS, SPSS, JMP, STATGRAPHICS and several R packages. In other words, he is the ideal instructor if you want to switch from SAS, SPSS or STATA to R.

About DataCamp

The course is set up in DataCamp’s interactive learning platform that aims to enhance your learning experience by allowing you to learn by doing. All the concepts that are introduced during the video lecture are directly tested through challenging interactive assignments with tailored feedback to consolidate your knowledge step by step. You will effectively learn hands on instead of losing time with suboptimal solutions like a four-hour screencast or webinar.

Check out the full course, or take the free preview.