Free

Intro to Statistics

Course

Get ready to analyze, visualize, and interpret data! Thought-provoking examples and chances to combine statistics and programming will keep you engaged and challenged.

Beginner

Last Updated March 7, 2022

Prerequisites:

No experience required

Course Lessons

Lesson 1

1. Teaser

Lesson 2

2. Looking at Data

Lesson 3

3. Scatter Plots

Lesson 4

4. Bar Charts

Lesson 5

5. Pie Charts

Lesson 6

6. Programming Charts (Optional)

Lesson 7

7. Admissions Case Study

Lesson 8

Problem Set 1: Visualization

Lesson 9

8. Probability

Lesson 10

9. Conditional Probability

Lesson 11

10. Bayes Rule

Lesson 12

11. Programming Bayes Rule (Optional)

Lesson 13

11A. Probability Distributions

Lesson 14

12. Correlation vs. Causation

Lesson 15

Problem Set 2: Probability

Lesson 16

13. Estimation

Lesson 17

14. Averages

Lesson 18

15. Variance

Lesson 19

16. Programming Estimators (Optional)

Lesson 20

Problem Set 3: Estimators

Lesson 21

17. Outliers

Lesson 22

18. Binomial Distribution

Lesson 23

19A. Central Limit Theorem

Lesson 24

19. Central Limit Theorem Programming (Optional)

Lesson 25

20. The Normal Distribution

Lesson 26

21. Manipulating Normals

Lesson 27

22. Most Better than Average

Lesson 28

Problem Set 4

Lesson 29

23. Sebastian's Weight and Proofs (Optional)

Lesson 30

24. Confidence Intervals

Lesson 31

25. Normal Quantiles

Lesson 32

26. Hypothesis Test

Lesson 33

27. Hypothesis Test 2

Lesson 34

28. Programming Tests and Intervals (Optional)

Lesson 35

Problem Set 5: Inference

Lesson 36

29. Regression

Lesson 37

30. Correlation

Lesson 38

31. Monty Hall Problem (Optional)

Lesson 39

Problem Set 6: Regression and Correlation

Lesson 40

32. Weight Case Studies

Lesson 41

33. Flash Crash Example

Lesson 42

34. Challenger Example

Lesson 43

Final Exam

Taught By The Best

Sebastian Thrun

Founder and Executive Chairman, Udacity

As the Founder and Chairman of Udacity, Sebastian's mission is to democratize education by providing lifelong learning to millions of students worldwide. He is also the founder of Google X, where he led projects including the Self-Driving Car, Google Glass, and more.

The Udacity Difference

Combine technology training for employees with industry experts, mentors, and projects, for critical thinking that pushes innovation. Our proven upskilling system goes after success—relentlessly.

Demonstrate proficiency with practical projects

Projects are based on real-world scenarios and challenges, allowing you to apply the skills you learn to practical situations, while giving you real hands-on experience.

Gain proven experience
Retain knowledge longer
Apply new skills immediately

Top-tier services to ensure learner success

Reviewers provide timely and constructive feedback on your project submissions, highlighting areas of improvement and offering practical tips to enhance your work.