Applied Statistics using R Programming

Learn how to use R programming concepts for applied statistics.
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Applied Statistics using R Programming

Learn how to use R programming concepts for applied statistics.
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About the Class

This is a bite-size course to learn R programming for applied statistics. In the 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.

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. Quantile
  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

Author

Svbook Pte Ltd

SVBook Pte. Ltd. started in April 2016. SVBook Pte. Ltd. offers affordable, easy to read Data Mining, Text Mining, Data Analytics, Programming books for professional and lifelong learning. SVBook Pte. Ltd. offers courses at EMHAcademy. SVBook Pte. Ltd. developed softwares over the time, and uploaded them at DSTK.Tech. SVBook Pte. Ltd. courses,...

School

Svbook Pte Ltd 's School

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What's Included

Language: English
Level: Beginner
Skills: Programming, Coding, R Programming, Applied Statistics
Age groups: 25-34 years
Duration: 1 hour 49 minutes
35 Videos
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