Syllabus

  1. Probability Theory
  2. Introduction to Basic Terms
  3. Variables
  4. Random Variables
  5. Population, Sample, Population Mean, Sample Mean
  6. Population Distribution, Sample Distribution and Sampling Distribution
  7. Measure of Central Tendency: Mean, Median, Mode
  8. Range
  9. Measure Of Dispersion: Variance, Standard Deviation
  10. Gaussian/Normal Distribution
  11. Standard Normal Distribution
  12. Z score
  13. Probability Density Function
  14. Cumulative distribution function
  15. Hypothesis Testing
  16. Many different plotting graphs
  17. Kernel Density Estimation
  18. Central Limit Theorem