The links below will enable you to view the slides and demos as well as the assignment notebooks in your browser. If you’d like to edit and execute the notebooks yourself, follow these instructions to install the course software and download all the notebooks onto your own computer.

Introduction
Introduction
Lecture: Slides, Demo,
Reading: 1 		lab01
Cause and Effect
Lecture: Slides,
Reading: 2 		hw01
Data, Tables, and Graphs in Python
Tables
Lecture: Slides, Demo,
Reading: 5.0 		lab02
Data Types, Columns and Rows
Lecture: Slides, Demo, Demo2, Demo3, Demo4,
Reading: 3, 4, 5.1, 5.2 		hw02
Census and Charts
Lecture: Slides, Demo, Demo2
Reading: 5.3, 5.4, 6.0, 6.1 		lab03
Histograms
Lecture: Slides,
Reading: 6.2, 6.3 		hw03
Functions
Lecture: Slides, Demo, Demo2
Reading: 7.0 		lab04
Functions and Apply
Lecture: Slides, Demo,
Reading: 7.1, 7.2, 7.3 		proj1
Prediction, Groups, Apply, Pivot, Citibike
Lecture: Slides, Demo, Demo2
Reading: 7.4, 7.5
Table Examples
Lecture: Slides, Demo, Demo2
Prelim 1 - 02/28/2019
Distributions and Random Sampling
Control
Lecture: Slides,
Reading: 8.0, 8.1, 8.2 		lab05
Probability and Sampling
Lecture: Slides, Demo, Demo2
Reading: 8.3, 8.4, 8.5 		hw04
Estimation
Lecture: Slides, Demo,
Reading: 9.0, 9.1, 9.2, 9.3 		lab06
Simulation
Lecture: Slides, Demo,
Hypothesis Testing
Hypothesis Testing
Lecture: Slides, Demo, Demo2
Reading: 10, 10.1, 10.2 		hw05
Pseudo Random Numbers and Error Probabilities
Lecture: Slides, Demo,
Reading: 10.2, 10.3 		proj2
Percentiles and the Bootstrap
Lecture: Slides, Demo,
Reading: 11.0, 11.1, 11.2 		lab07
Confidence Intervals
Lecture: Slides, Demo,
Reading: 11.3, 11.4
The Normal Distribution
Center and Spread
Lecture: Slides, Demo, Demo2
Reading: 12, 12.1, 12.2
Prelim 2 - 04/16/2019
The Normal Distribution
Lecture: Slides, Demo,
Reading: 12.3, 12.4 		hw06
Sample Means
Reading: 12.5
Designing Experiments
Reading: 12.6
Classification and Prediction
Correlation
Lecture: Slides, Demo, Demo2
Reading: 13, 13.1 		proj3
Nearest Neighbor
Lecture: Slides, Demo,
Reading: 15.2, 15.3, 15.4, 15.5
Regression
Lecture: Slides, Demo, Demo2
Reading: 13.2, 13.3, 13.4
Review
Review
Lecture: Slides,
Final Exam - 05/13/2019