Lectures

You can watch recordings of the Spring 2025 lecture videos online. These recordings require a BMC/HC login.

You can watch recordings of the Spring 2022 lecture videos online.

You can watch recordings of the Fall 2020 lecture videos online. Recordings are saved on Panopto and require a UNI login.

The lecture schedule will be updated as the term progresses.

Pre-course

Make sure to fill out the pre-course survey that is available on Piazza.

Make sure you are registered for the course Gradescope, JupyterHub, and Piazza.

Computation: Python & Tables

Date	Topic	Reading	Assignment
Tue, Jan 21, 2025	Lecture 1 Course Introduction Correlation & Causation [slides]	Chapter 1 - What is Data Science? Chapter 2 - Causality and Experiments Jeannette M. Wing, Computational Thinking	Lab 0 - Python Intro (Due Fri, Jan 24, 2025) HW 0 - Causality and Expressions (Due Wed, Jan 29, 2025)
Thu, Jan 23, 2025	Lecture 2 Data Types, Expressions [slides] [empty notebook] [completed notebook]	Chapter 3.1 - 3.3: Programming in Python Chapter 4: Data Types
Tue, Jan 28, 2025	Lecture 3 Tables, Arrays, & Sequences [slides] [empty notebook] [completed notebook]	Chapter 3.4: Introduction to Tables Chapter 5: Sequences	Lab 1 - Table operations (Due Fri, Jan 31, 2025) HW 1 - Arrays and Tables (Due Wed, Feb 5, 2025)
Tue, Jan 28, 2025	Last Day to Register
Wed, Jan 29, 2025	End of Add period
Thu, Jan 30, 2025	Lecture 4 More Tables [slides] [empty notebook] [completed notebook]	Chapter 6: Tables

Exploration

Date	Topic	Reading	Assignment
Tue, Feb 4, 2025	Lecture 5 Visualization [slides] [empty notebook] [completed notebook]	Chapter 7 (intro): Visualization Chapter 7.1 Categorical Distributions	Lab 2 - Data Types and Arrays (Due Fri, Feb 7, 2025) HW 2 - Table Manipulation and Visualization (Due Wed, Feb 12, 2025)
Thu, Feb 6, 2025	Lecture 6 Histograms [slides] [empty notebook] [completed notebook]	Chapter 7.2 Numerical Distributions Chapter 7.3 Overlaid Graphs
Fri, Feb 7, 2025	Last day to drop
Tue, Feb 11, 2025	Lecture 7 Functions & Apply, Group, Pivot [slides] [empty notebook] [completed notebook]	Chapter 8. Functions and Tables Chapter 8.1 Applying Functions to a Column	Lab 3 - Functions and Visualizations (Due Fri, Feb 14, 2025) HW 3 - Functions, Tables, and Groups (Due Wed, Feb 19, 2025)
Thu, Feb 13, 2025	Lecture 8 Pivot, Joins, & Comparisons [slides] [empty notebook] [completed notebook]	Chapter 8. Functions and Tables	Project 1 (Due Fri, Feb 28, 2025)
Tue, Feb 18, 2025	Lecture 9 Comparisons Control Statements (If, For) & Randomness [slides] [empty notebook] [completed notebook]	Chapter 9 Randomness (9, 9.1, 9.2)	Lab 4 - Simulations (Due Fri, Feb 21, 2025) HW 4 - Applying Functions and Iteration (Due Wed, Feb 26, 2025)

Inference

Date	Topic	Reading	Assignment
Thu, Feb 20, 2025	Lecture 10 Control Statements (loops) Randomess Simulations [slides] [empty notebook] [completed notebook]	Chapter 9.2 Iteration Chapter 9.3 Simulation
Tue, Feb 25, 2025	Lecture 11 Monty Hall Probability	Chapter 9.4 - The Monty Hall Problem Chapter 9.5 - Finding Probabilites	HW 5 - Probability, Simulation, Estimation, and Assessing Models (Due Wed, Mar 5, 2025)
Thu, Feb 27, 2025	Lecture 12 Monty Hall Probabilities Simulations	Chapter 9.3 - Simulation ~~"Chapter 9.4 - The Monty Hall Problem"~~ ~~"Chapter 9.5 - Finding Probabilites"~~
Fri, Feb 28, 2025	Last day to declare Cr/NC
Tue, Mar 4, 2025	Lecture 13 Monty Hall Probabilities	Chapter 9.4 - The Monty Hall Problem Chapter 9.5 - Finding Probabilites	Lab 5 - Examining the Therapuetic Touch (Due Fri, Mar 7, 2025) HW 6 - Testing Hypotheses (Due Wed, Mar 19, 2025)
Thu, Mar 6, 2025	Lecture 14 Sampling, & Distributions	Chapter 10 - Sampling and Empirical Distributions Chapter 11.1 - Assessing a Model
Tue, Mar 11, 2025	Spring Break
Thu, Mar 13, 2025	Spring Break
Tue, Mar 18, 2025	Lecture 15 Statistic, Hypothesis Testing	Chapter 10.3 - Empirical Distribution of a Statistic Chapter 11.1 - Testing Hypotheses	Lab 6 - Inference and the Death Penalty (Due Fri, Mar 21, 2025)
Thu, Mar 20, 2025	Lecture 16 Comparing Distributions & Measuring Uncertainty	Chapter 11.2 - Multiple Categories Chapter 11.3 - Decisions and Uncertainty Chapter 11.4 - Error Probabilities
Tue, Mar 25, 2025	Lecture 17 A/B Testing	Chapter 12 - Comparing Two Samples	Lab 7 - Normal Distribution and Variance of Sample Means (Due Mon, Mar 24, 2025)
Thu, Mar 27, 2025	Lecture 18 Causality and Estimation Variability	Chapter 13 - 13.1 - Estimation	HW 7 - Confidence Intervals, The Bootstrap, and The Central Limit Theorem (Due Mon, Apr 7, 2025)
Fri, Mar 28, 2025	Last day to withdraw
Tue, Apr 1, 2025	Lecture 19 Bootstrap Confidence Interval	Chapter 13 - Boostrap	Lab 9 (Due Mon, Apr 7, 2025) Project 2 (released 04/04) (Due Fri, Apr 18, 2025)

Prediction

Date	Topic	Reading	Assignment
Thu, Apr 3, 2025	Lecture 20 Confidence Intervals Center and Spread Standard Deviations and Normal Distributions	Chapter 13.4. Using Confidence Intervals Chapter 14. Why the Mean Matter	HW 8 - Linear Regression (Due Mon, Apr 14, 2025)
Tue, Apr 8, 2025	Lecture 21 Correlation Nearest Neighbor Regression	Chapter 15. Prediction (introduction) Chapter 15.1 Correlation	Lab 10 - Regression (Due Mon, Apr 14, 2025)
Thu, Apr 10, 2025	Lecture 22 Linear Regression Least Squares & Residuals	Chapter 15. Prediction (15.2 - 15.6)	HW 9 - Regression Inference (Due Fri, Apr 25, 2025)
Tue, Apr 15, 2025	Lecture 23 Regression Inference	Chapter 16. Inference for Regression	Project 3: Movie Classification (Due Fri, May 2, 2025)
Thu, Apr 17, 2025	Lecture 24 Regression Inference		HW 10 - Classification (Due Mon, Apr 28, 2025)
Tue, Apr 22, 2025	Lecture 25 Classification	Chapter 17 - Classification Chapter 17.1 - Nearest Neighbors Chapter 17.2 - Training and Testing Chapter 17.3 - Rows of Tables
Thu, Apr 24, 2025	Lecture 26 Final Project Classification II	Chapter 17 - Classification
Tue, Apr 29, 2025	Lecture 27 Review
Thu, May 1, 2025	Lecture 28 Review