R-Guru Resource Hub |
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, Graphs, Shiny, R4CSR Tables) and header reference links from all pages for quick solutions!
I offer two membership plans and one self-study program: premium semi-annual, annual membership and self-study class program. All options give you full access to all R-Guru content with daily updates, quarterly mentoring web sessions as well as free e-mail support. 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. Can't afford our membership fees? No problem. Enroll now to complete process. See R-Guru Open House to get a tour of R-Guru's unique content!
My unique R-Guru SAS Statistical Programmers w/ Pharma Focus Self Study 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 Self-Study Class is ideal for learning R part-time. Each week, students are expected to watch 1 to 2 hours lesson videos and then spend 3 to 4 hours completing R hands-on exercises. Live 1-on-1 mentoring web sessions will be scheduled at the beginning, middle and end of the eight week period. This gives students an introduction to the student journal, R-Guru navigation and content as well as questions and answers.
See testimonials from raving students. Ask me about live custom corporate classes and webinars.
1-on-1 Mentoring Student Journal Weekly Videos Hands-on Exercises
Pre-Assignments |
View Videos, Lesson’s Outline in R-Guru.com |
Lectures | Recorded Live weekly lectures, Questions and Answers |
Assignments | Hands-On R Exercises, Copy/Paste/Update/Run, Papers |
Discussions, Questions & Answers | Student Journal – Progress, Key Concepts, Fill-in, Questions |
Student Presentations | 5 – 8 minutes presentation or demo on one R topic |
By the end of this class, you will master these R concepts:
Week 1. What is R, Getting Data into R | Week 5. DPLYR for SQL and %>% Piping |
Week 2. Create and Manage Data Frames | Week 6. Create SDTMs |
Week 3. Join, Summarize and Transpose Data Frames | Week 7. Create AdaMs |
Week 4. Tidyverse Data Management Operations | Week 8. Tables, Graphs |
To Be More Productive: Header Reference Links from All R-Guru Pages
Cheat Sheets – Access collection of R cheat sheets