Statistics Course Index
Complete Statistics Roadmap — 45 structured lessons covering descriptive statistics, probability, distributions, hypothesis testing, regression and real-world analytics projects.
I. Beginner Level (15 Lessons)
1. Introduction to Statistics
2. Types of Data and Variables
3. Populations Samples and Parameters
4. Descriptive vs Inferential Statistics
5. Frequency Tables and Distributions
6. Mean Median and Mode
7. Range Variance and Standard Deviation
8. Percentiles and Quartiles
9. Introduction to Probability
10. Basic Probability Rules
11. Independent and Dependent Events
12. Conditional Probability Intuition
13. Random Variables Discrete vs Continuous
14. Normal Distribution Basics
15. Z Scores and Standardization
II. Intermediate Level (15 Lessons)
16. Data Collection and Sampling Techniques
17. Data Bias and Common Errors
18. Data Visualization Bar and Pie Charts
19. Histograms and Boxplots
20. Scatterplots and Correlation
21. Sampling Distributions and CLT
22. Point Estimates and Margin of Error
23. Confidence Intervals for Means
24. Confidence Intervals for Proportions
25. Hypothesis Testing Basics
26. Type 1 and Type 2 Errors
27. One Sample z Tests for Means
28. One Sample Tests for Proportions
29. Two Sample Independent t Tests
30. Paired t Tests
III. Advanced Level (15 Lessons)
31. Correlation Pearson and Spearman
32. Simple Linear Regression
33. Interpreting Regression Output
34. Regression Residuals and Assumptions
35. Multiple Linear Regression Overview
36. Chi Square Test for Independence
37. Chi Square Goodness of Fit
38. One Way ANOVA
39. Nonparametric Tests Overview
40. Statistics in Excel
41. Statistics in Python
42. Statistics in R
43. A/B Testing with Proportions
44. Customer Analytics with Regression
45. Exam Prep Key Statistics Questions