Welcome to statistics! The main goals of the course is that you learn statistics, apply it using programming, and have a fantastic experience doing so!

Calendar

Lesson Topic Lecture Notebook and Video Reading Assignment
Less 1 Welcome to Class!
Less 2 Introduction Lecture 1 - NB 1.1, 1.2, 1.3
Less 3 Cause and Effect 2
Less 4 Tables Lecture 4 - NB 3
Less 5 Data Types Lecture 5 - NB
4
Less 6 Sequences Lecture 6 - NB
5
Less 7 Building Tables Lecture 7 - NB 6.0, 6.1, 6.2
Less 8 Census Lecture 8 - NB 6.3, 6.4
Less 9 Charts Lecture 9 - NB 7, 7.1
Less 10 Histograms Lecture 10 - NB 7.2, 7.3
Less 11 Functions Lecture 11 - NB 8, 8.1, 8.2
Less 12 Groups, Joins, and Table Examples Lecture 12 - NB 8.3,8.4, 8.5
Less 13 Conditional Statements Lecture 13 - NB 9, 9.1
Less 14 Iteration Lecture 14 - NB 9.2, 9.3,9.4,9.5
Less 15 Sampling Lecture 15 - NB 10, 10.1, 10.2, 10.3
Less 16 Models and Comparing Distributions Lecture 16 - NB 11, 11.1, 11.2
Less 17 Decisions and Uncertainty Lecture 17 - NB 11.3, 11.4
Less 18 P-Values and A/B Testing Lecture 18 - NB 12.1, 12.2
Less 19 Examples and Causality Lecture 19 - NB 12.2, 12.3
Less 20 Confidence Intervals Lecture 20 - NB 13, 13.1, 13.2
Less 21 Interpreting Confidence Lecture 21 - NB 13.3, 13.4
Project 2: Cardiovascular Disease
Less 22 Center and Spread Lecture 22 - NB 14, 14.1
Less 23 The Normal Distribution Lecture 23 - NB 14.2, 14.3
Less 24 Sample Means and Designing Experiments Lecture 24 - NB 14.4, 14.5, 14.6
Less 25 Correlation and Linear Regression Lecture 25 - NB 15, 15.1, 15.2
Homework 10
Less 26 Least Squares and Residuals Lecture 26 - NB 15.3, 15.4, 15.5, 15.6
Homework 11
Lab 10
Less 27 Regression Inference Lecture 27 - NB 16
NoteBooks I Lecture 28 - NB
Lecture 29 - NB
NoteBooks II Lecture 30 - NB
Lecture 31 - NB
NoteBooks III Lecture 32 - NB
Lecture 33 - NB
Lecture 34 - NB