1-Basic Statistics Concepts
2-Sampling
3-Descriptive Statistics
4-Correlation
5-Establish Hypothesis
6-Assumption Checking
7-Normality Assumption
8-Homogeneity of Variance Assumption
9-3 and 4. Application of Hypothesis
10-1.1 Independent two-sample t-test (parametric test) if assumptions are met
11-1.2 Mannwhitneyu test if assumptions are not met (non-parametric test)
12-Business Problem: Are the scores of those who watched the majority of the course different from those who did not?
13-AB Testing (Two Sample Proportion Test)
14-ANOVA (Analysis of Variance)
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1-Application: User and Time Weighted Course Score Calculation
2-Average
3-Time-Based Weighted Average
4-User-Based Weighted Average
5-Weighted Rating
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1-Up-Down Diff Score = (up ratings) − (down ratings)
2-Score = Average rating = (up ratings) / (all ratings)
3-Wilson Lower Bound Score
4-CaseStudy
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1-Application: Course Sorting
2-Sorting by Rating
3-Sorting by Comment Count or Purchase Count
4-Sorting by Rating, Comment and Purchase
5-Bayesian Average Rating Score
6-Hybrid Sorting: BAR Score + Other Factors
7-Application: IMDB Movie Scoring & Sorting
8-Sorting by Vote Average
9-IMDB Weighted Rating
10-Bayesian Average Rating Score