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R Mentoring Class for SAS Statistical Programmers: R Certification

Top Ten Reasons to Enroll in R-Guru to Earn your R Clinical Trials Certificate

  1. Free e-mail support to address your R challenges and goals.
  2. Learn R within weeks instead of months.
  3. Remove R learning pain points by applying basic examples and their outputs.
  4. Replicate SAS tasks in R by comparing with SAS procedures and functions.
  5. Sunil's lectures make it easier to understand R objects, functions and process.
  6. R-Guru has user friendly navigation (Prior Session, Mentoring Program, Next Session) and keyword search.
  7. R-Guru is content rich with hundreds of R examples and answers to common R questions.
  8. R-Guru has thousands of references for deep dive R learning and mastering.
  9. Easy to follow structured weekly R class sessions and hands-on exercises.
  10. No prior R experience required. 

Since learning R can be challenging, I am here to help you reach your R goals without experiencing the pain points!  One of the most common reasons students enroll in my unique online R class is because my content and explanations are clear.  Within weeks, instead of months with other R classes, students are more productive since they build confidence in writing and reading R programs.  R-Guru is unique with galleries (R Markdown, GraphsShiny, R4CSR Tables)  and header reference links from all pages for quick solutions! 

R-Guru memberships empower you to grow with R-Guru. From any R-Guru page, members can access any of the header links below for quick and easy reference.  Enroll now to complete process.

My unique R-Guru SAS Statistical Programmers w/ Pharma Focus Mentoring class is perfect to fit your R goals and schedule.  You start the online class and complete the hands-on exercises based on your timelines, it is your decision.  The R-Guru Eight Week part-time or One week full time Mentoring Class is ideal for learning R on your schedule.  Each week, students are expected to watch 1 to 2 hours lesson videos and then spend up to 3 hours completing R hands-on exercises.  The class provides access to videos, student journal and R-Guru navigation and content as well as questions and answers.

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