This is the bite size course to learn R Programming for Applied Statistics. In CRISP DM data mining process, Applied Statistics is at the Data Understanding stage. This course also covers Data processing, which is at the Data Preparation Stage. 

You will need to know some R programming, and you can learn R programming from my "Create Your Calculator: Learn R Programming Basics Fast" course.  You will learn R Programming for applied statistics and you will be able

You can take the course as follows, and you can take a exam at EMHAcademy to get SVBook Certified Data Miner using R certificate : 

- Create Your Calculator: Learn R Programming Basics Fast (R Basics)

- Applied Statistics using R with Data Processing (Data Understanding and Data Preparation)

- Advanced Data Visualizations using R with Data Processing (Data Understanding and Data Preparation, in future)

- Machine Learning with R (Modeling and Evaluation)

Content

1. Getting Started

2. Getting Started 2

3. Getting Started 3

4. Data Mining Process

5. Download Data set

6. Read Data set

7. Mode

8. Median

9. Mean

10. Range

11. Range 2

12. Range 3

13. IQR

14. Qunatile

15. Population Variance

16. Sample Variance

17. Variance

18. Standard Deviation

19. Normal Distribution

20. Skewness and Kurtosis

21. Summary() and Str()

22. Correlation

23. Covariance

24. Inferential Statistics Tests

25. One Sample T Test

26. Two Sample Unpaired T Test

27. Two Sample Unpaired T Test (Variance not Equal)

28. Two Sample Paired T Test

29. Chi Square Test

30. One Way ANOVA

31. Two Way ANOVA

32. MANOVA

33. Simple Linear Regression

34. Multiple LInear Regression

35. Data Processing: Select Variables

36. Data Processing: Sort Data

37. Data Processing: Filter Data

38. Data Processing: Remove Missing Values and Remove Duplicates

References: 

This course is actually based on the Learn R for Applied Statistics book I have published at Apress.