Schedule

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

Introduction
M	02/08	Introduction Lecture: Slides, Demo, Video Reading: Chapter 1
W	02/10	Cause and Effect Lecture: Slides, Video Reading: Chapter 2
Data, Tables, and Graphs in Python
F	02/12	Tables Lecture: Slides, Demo, Video Reading: Section 5.0
M	02/15	Class canceled
W	02/17	Data Types Lecture: Slides, Demo, Video Reading: Chapter 3, Chapter 4
F	02/19	Columns and Rows Lecture: Slides, Demo, Video Reading: Section 5.1, Section 5.2
M	02/22	Census Lecture: Slides, Demo, Video Reading: Section 5.3, Section 5.4
W	02/24	Charts Lecture: Slides, Demo, Video Reading: Section 6.0, Section 6.1
F	02/26	Histograms Lecture: Slides, Demo, Video Reading: Section 6.2, Section 6.3
M	03/01	Functions Lecture: Slides, Demo, Video Reading: Section 7.0, Section 7.1
W	03/03	Groups Lecture: Slides, Demo, Video Reading: Section 7.2, Section 7.3
F	03/05	Joins and Maps Lecture: Slides, Demo, Video Reading: Section 7.4, Section 7.5
M	03/08	Table Examples and Advanced Where Lecture: Slides, Demo, Video
W	03/10	Wellness Day (no class)
Distributions and Random Sampling
F	03/12	Control Lecture: Slides, Demo, Video Reading: Section 8.0, Section 8.1, Section 8.2
M	03/15	Probability Lecture: Slides, Demo, Video Reading: Section 8.3, Section 8.4
Tue	03/16	Prelim 1, 8:30pm, Kennedy Hall 116
W	03/17	Sampling Lecture: Slides, Demo, Video Reading: Section 8.5, Section 9.0, Section 9.1, Section 9.2
F	03/19	Estimation Lecture: Slides, Demo, Video Reading: Section 9.3
M	03/22	Simulation Lecture: Slides, Demo, Video
Hypothesis Testing
W	03/24	Hypothesis Testing Lecture: Slides, Demo, Video Reading: Section 10.0, Section 10.1, Section 10.2
F	03/26	Error Probabilities Lecture: Slides, Demo, Video Reading: Section 10.3
M	03/29	Examples Lecture: Slides, Demo, Video Reading: Section 10.4
W	03/31	The Bootstrap Lecture: Slides, Demo, Video Reading: Section 11.0, Section 11.1, Section 11.2
F	04/02	Confidence Intervals Lecture: Slides, Demo, Video Reading: Section 11.3, Section 11.4
The Normal Distribution
M	04/05	Center and Spread Lecture: Slides, Demo, Video Reading: Section 12.0, Section 12.1, Section 12.2
W	04/07	The Normal Distribution Lecture: Slides, Demo, Video Reading: Section 12.3, Section 12.4
F	04/09	Sample Means Lecture: Slides, Demo, Video Reading: Section 12.5
M	04/12	Designing Experiments Lecture: Slides, Demo, Video Reading: Section 12.6
Regression
W	04/14	Correlation Lecture: Slides, Demo, Video Reading: Section 13.0, Section 13.1
F	04/16	Linear Regression Lecture: Slides, Demo, Video Reading: Section 13.2
M	04/19	Least Squares Lecture: Slides, Demo, Video Reading: 13.3, 13.4
Tue	04/20	Prelim 2, 8:30pm, Kennedy Hall 116
W	04/21	Residuals Lecture: Slides, Demo, Video Reading: Section 13.5, Section 13.6
F	04/23	Wellness Day (no class)
M	04/26	Wellness Day (no class)
W	04/28	Regression Inference Lecture: Slides, Demo, Video Reading: Chapter 14
Classification
F	04/30	Classification Lecture: Slides, Demo, Video Reading: Section 15.0, Section 15.1
M	05/03	Nearest Neighbor Lecture: Slides, Demo, Video Reading: Section 15.2, Section 15.3, Section 15.4, Section 15.5
W	05/05	Enhancing Nearest Neighbor Lecture: Slides, Demo, Video
Applications of Data Science
F	05/07	Cornell COVID Modeling Lecture: Slides, Video
M	05/10	Class cancelled
W	05/12	Dr. Ehi Nosakhare, Microsoft Lecture: Slides, Video
F	05/14	What Next Lecture: Slides, Video
Sat	05/22	Final Exam, 1:30PM, Baker Lab 200