Lesson 1

# 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.

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 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.

Get help from subject matter experts

Learn industry best practices

Gain valuable insights and improve your skills

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