Spring 2026
Barnard College
Instructor: Prof. Eysa Lee
TAs:
Computing Fellows:
Lectures: 10:10am-11:25am, 140 Horace Mann Hall
Labs:
Office Hours:
Jupyter Hub: Link (login required)
Class Discussion Forum: EdStem (login required)
Courseworks: Link
Syllabus: Link
Python Resources:
Data8 Python Reference: https://www.data8.org/fa24/reference/
DataScience Python Library Developer Documentation: https://www.data8.org/datascience/
Data8 Textbook: https://inferentialthinking.com/chapters/intro.html
The schedule below will be updated as the course progresses.
| Week | Date | Topic | Lab | Assignment |
|---|---|---|---|---|
| 1 | 1/21 | 1 - Introduction [Slides] |
No Lab | |
| 2 | 1/26 | 2 - Introduction to Python [Slides] (Remote - Snow Day) |
||
| 1/28 | 3 - Arrays and Tables [Slides]
Demo: lec03-tables.ipynb |
Lab 1 - Expressions (Due 1/30) | ||
| 3 | 2/02 | 4 - Tables and Functions [Slides]
Demo: lec04-tables-and-functions-starter.ipynb |
HW 1 - Arrays and Tables (Due 2/11) | |
| 2/04 | 5 - Functions and Charts [Slides]
Demo: lec05-charts-starter.ipynb |
Lab 2 - Table Operations | ||
| 4 | 2/09 | 6 - Histograms and Bar Charts [Slides] Demo: lec06-starter.ipynb |
HW 2 - Table Manipulation and Visualzation (Due 2/18) | |
| 2/11 | 7 - Histograms and Functions (continued) [Slides] Demo: lec07-starter.ipynb |
Lab 3 - Data Types and Arrays | HW 1 Due | |
| 5 | 2/16 | 8 - Functions, Groups, Pivots, and Joins [Slides] Demo: lec08-starter.ipynb |
HW 3 - Functions, Tables, and Groups (Due 2/25) | |
| 2/18 | 9 - Review and Conditionals [Slides] Demo: lec09-starter.ipynb |
Lab 4 - Functions and Visualizations | HW 2 Due | |
| 6 | 2/23 | 10 - Conditionals and Iteration [Slides] Demo: lec10-starter.ipynb (Remote - Snow Day) |
HW 4 - Probability, Simultion, and Estimation (Due 3/9) | |
| 2/25 | 11 - Simulations [Slides] Demo: lec11-starter.ipynb |
Lab 5 - Simulations | HW 3 Due | |
| 7 | 3/02 | 12 - Probability and Sampling [Slides]
Demo: lec12-starter.ipynb (Optional) Midterm Practice Problems |
||
| 3/04 | 13 - Models [Slides]
Demo: lec13-starter.ipynb | No Lab | ||
| 8 | 3/09 | TA Midterm Review | HW 4 Due | |
| 3/11 | Midterm Exam
(5"x8" index card allowed) |
No Lab | ||
| - | Spring Recess | |||
| 9 | 3/23 | 14 - Hypothesis Testing [Slides]
Demo: lec14-starter.ipynb |
||
| 3/25 | 15 - Statistical Significance [Slides] Demo: lec15-starter.ipynb |
Lab 6 - Examining the Therapeutic Touch | ||
| 10 | 3/30 | 16 - AB Testing [Slides]
Demo: lec16-starter.ipynb |
HW 5 - Testing Hypotheses | |
| 4/01 | 17 - Confidence Intervals [Slides] Demo: lec17-starter.ipynb |
Lab 7 - A/B Test | Final Project Group Declaration | |
| 11 | 4/06 | 18 - Standard Deviation and Normal Distributions [Slides]
Demo: lec18-starter.ipynb (Slides contain information on Final Project Proposals) |
HW 6 - Confidence Intervals | |
| 4/08 | 19 - Central Limit Theorem [Slides] | Lab 8 - Normal Distribution and Variability of Sample Means | HW 5 Due 11:59PM | |
| 12 | 4/13 | 20 - Correlation and Linear Regression [Slides] Demo: lec20-starter.ipynb |
HW 7 - Sample Sizes and Confidence Intervals | |
| 4/15 | 21 - Least Squares, Residuals, and Regression Inference [Slides]
Demo: lec21-starter.ipynb (Slides contain information on Final Project Proposals and Progress Reports) |
Lab 9 - Regression |
HW 6 Due 11:59PM Final Project Proposals Due Friday, 4/17 |
|
| 13 | 4/20 | Special Topics: Data Ethics (Computing Fellows Workshop) |
HW 8 - Linear Regression | |
| 4/22 | Special Topics: Bias in AI (Guest lecture by Murad Megjhani) |
Lab: Final Project Work Time | HW 7 Due 11:59PM | |
| 14 | 4/27 | 22 - Classification |
Final Project Progress Reports
HW 9 - Regression Inference (Optional, Due 5/4) |
|
| 4/29 | Lab: Final Project Consultations | HW 8 Due 11:59PM | ||
| 15 | 5/04 | HW 9 Due 11:59PM (Optional)
Final Project Report Due Friday 5/8 (No extensions or late days on the final report)
|