Course curriculum

    1. categorical variable, nominal ordinal and bernouli-trial

    2. Mean Media Mode Skewness and Kurtosis

    3. Bionomial Distribution

    4. EXamples Of PMF (Probability mass function) And CDF (Cumulative Distribution Function) explained

    5. EXamples Of PMF (Probability mass function) And CDF (Cumulative Distribution Function) explained

    6. Poisson Distribution Explained and examples With Python

    7. Examples Of Poisson Distribution explained with Python

    8. central limit theorem revision

    9. geometric distribution

    10. geometric distribution2

    11. hypergeometric1

    12. hypergeometric2 sampling

    13. hypergrometric3

    14. hypergeometric problems

    15. normal distribution_boxplot

    16. normal distribution_problems

    17. central limit theorem exercise

    18. uniform distribution

    19. hypothesis testing 3

    20. hypothesis testing 1

    21. hypothesis testing 2

    22. hypothesis testing 4

    23. hypothesis testing 5

    24. hypothesis testing 6

    25. hypothesis testing 7 problems

    26. Process of model building

    27. Process of model building

    28. Model summary 1

    29. Mode Summary 2

    30. Testing Assumptions of Linear Regression

About this course

  • $350.00
  • 30 lessons
  • 12.5 hours of video content
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