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Statistics and Hypothesis Testing for Data science DevCourseWeb

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Files:
  1. Get Bonus Downloads Here.url 182 bytes
  2. 1. Introduction to Statistics and its importance.mp4 106.8 MB
  3. 2. Explain the role of statistics in data analysis.mp4 88.7 MB
  4. 3. Introduction to Python for Statistical Analysis.mp4 92.5 MB
  5. 1. Types of Data.mp4 126.7 MB
  6. 2. Measures of Central Tendency.mp4 105.0 MB
  7. 3. Measures of Spread.mp4 71.2 MB
  8. 4. Measures of Dependence.mp4 73.9 MB
  9. 5. Measures of Shape and Position.mp4 145.5 MB
  10. 6. Measures of Standard Scores.mp4 78.7 MB
  11. 1. Introduction to Basic Probability.mp4 176.2 MB
  12. 2. Introduction to Set Theory.mp4 106.5 MB
  13. 3. Introduction to Conditional Probability.mp4 74.7 MB
  14. 4. Introduction to Bayes Theorem.mp4 118.0 MB
  15. 5. Introduction to Permutations and Combinations.mp4 112.4 MB
  16. 6. Introduction to Random Variables.mp4 80.7 MB
  17. 7. Introduction to Probability Distribution Functions.mp4 202.6 MB
  18. 1. Introduction to Normal Distribution.mp4 215.8 MB
  19. 10. Introduction to Sampling Methods.mp4 256.5 MB
  20. 2. Introduction to Skewness and Kurtosis.mp4 143.8 MB
  21. 3. Introduction to Statistical Transformations.mp4 212.5 MB
  22. 4. Introduction to Sample and Population Mean.mp4 73.5 MB
  23. 5. Introduction to Central Limit Theorem.mp4 75.2 MB
  24. 6. Introduction to Bias and Variance.mp4 114.3 MB
  25. 7. Introduction to Maximum Likelihood Estimation.mp4 101.7 MB
  26. 8. Introduction to Confidence Intervals.mp4 78.2 MB
  27. 9. Introduction to Correlations.mp4 270.6 MB
  28. 1. 1. Fundamentals of Hypothesis Testing.mp4 108.8 MB
  29. 2. Introduction to T Tests.mp4 138.7 MB
  30. 3. Introduction to Z Tests.mp4 88.5 MB
  31. 4. Introduction to Chi Squared Tests.mp4 232.0 MB
  32. 5. Introduction to Anova Tests.mp4 54.1 MB
  33. Bonus Resources.txt 386 bytes

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