DS2500: Schedule

It's likely that the topics will change, but very UNlikely that the dates of labs, homeworks, exams or projects will. Homeworks and labs are listed below on the day they are assigned. Please note the key dates where you'll need to be in class (otherwise, our DS2500 attendance policy applies):

Week/Date	Topics	Class Materials	Lab	HW
1 Jan 7, 10	Python Week Overview of DS2500 Python we need to know Python syntax review Lists and loops Dictionaries Tuples Functions No Lab	Videos Lecture Video: DS2500 Day One (1/7) Lecture Video: Python Review (1/10) DS2000 in 2000 seconds PyCharm Setup Lists and Dictionaries Handouts PyCharm Installation Python Review: Conditionals Python Review: Lists and For Loops Python Review: Dictionaries Python Review: Data Structures Lecture Notes Tues: Slides (1/7) Fri: Lecture Notes (1/10) Fri: Slides (1/10) Lecture Code & Data Fri: lec2.py
2 Jan 14, 17	Python Week Object-oriented programming Classes and objects Attributes and methods Encapsulation File processing	Videos Lecture Video: Object-Oriented (1/14) File Processing Lecture Video: Install, Main, Matplot (1/17) Handouts Python Review: Classes and Objects Python Review: Functions and Scope Python Review: Data Viz & Matplotlib Lecture Notes Lecture Notes (1/14) Lecture Notes (1/17) Lecture Code & Data Tues code: hockeyteam.py, hockey_driver.py Fri data: pwhl_small.csv Fri code: hockeyteam.py, driver, utils.py	Lab 1	HW1 - due 1/24 @9pm
3 Jan 21, 24	DS Week Types of data Data Science statistics Similarity and distance measures No Lab (MLK Day)	Videos Lecture Video: Types of Data (1/21) Lecture Video: Distances & Similarity (1/24) Lecture Notes Lecture Notes (1/21) Lecture Notes (1/24) Lecture Code & Data Tues data: https://bit.ly/food_recs Tues code: food.py, food_driver.py Fri data: food_rankings.csv Fri code: food.py, driver		HW2 - due 1/31 @9pm
4 Jan 28, 31	Python Week Data visualization Program testing Unit testing Debugging	Videos Lecture Video: Error Types (1/28) Lecture Video: Unit Testing (1/31) Lecture Notes Lecture Notes (1/28) Lecture Notes (1/31) Slides (1/31) Lecture Code & Data Tues data: boston_marathon_2023.csv Tues starter code: utils.py, baa_buggy.py Tues finished code: utils_debugged.py, baa_debugged.py Error message examples: error_types.txt (console output) Fri code: baa.py, test_marathon.py	Lab 2	HW3 - due 2/7 @9pm
5 Feb 4, 7	DS Week Intro to Prediction Models Correlation Linear Regression Scaling and normalizing data Fri: Lab 1-3 Late Deadline	Videos Lecture Video: Correlation (2/4) Lecture Video: Feature Scaling (2/7) Lecture Notes Lecture Notes (2/4) Lecture Notes (2/7) Lecture Code & Data Tues data: data.zip Tues code: utils.py, neu_driver.py Fri code: utils.py, normal_driver.py Exam Practice Practice Questions	Lab 3
6 Feb 11, 14	Exam Week Tue - Data structures, how to give a talk FRI - EXAM ONE	Videos Lecture Video: Data Structures & Talks (2/11) Lecture Notes Tues: Lecture Notes (2/11) Tues: Slides (Giving Talks)	Lab: Exam Review
7 Feb 18, 21	DS Week Web scraping, HTML APIs Structured Data: JSON No Lab (Presidents' Day)	Videos Lecture Video: Web scraping / NLP (2/18) Lecture Video: JSON / APIs (2/21) Lecture Notes Lecture Notes (2/18) Lecture Notes (2/21) Lecture Code & Data Tues code: scrape_sentiment.py Tues viz: Bear Plot Fri data: apod.json, weather.json Fri code: planets.py, the web page we made		Mini-Prez Slides due 2/23 @9pm
8 Feb 25	Mini-Prez Week https://bit.ly/ds2500_miniprez 5-min team presentations (two slides) In Monday Lab & Tuesday lecture Slides due in gradescope 2/23 @9pm No Friday Class!	Project Links Proposal Reqs Project Reqs		Project Proposal - due 2/28 @9pm
9 Mar 4, 7	NO CLASS - SPRING BREAK
10 Mar 11, 14	Python Week Pandas library NumPy, array vs list Google Colab Scope of variables, functions, cells No Lab (Spring Break Recovery)	Videos Lecture Video: Colab & Pandas (3/11) Lecture Video: NumPy (3/14) Links bit.ly/ds2500_lecture_q (just a reminder it's there!) Tues data: bit.ly/ds2500_gdrive Tues handouts: Sec 1, Sec 2, Sec3 Lecture Code Tues: lecture15_notebook.ipynb Fri: lecture16_notebook.ipynb Lecture Notes Lecture Notes (3/11) Lecture Notes (3/14)		HW4 - due 3/21 @9pm
11 Mar 18, 21	DS Week Supervised Learning KNN Classification	Videos Lecture Video: Supervised Learning and KNN (3/18) Lecture Video: Logistic Regression and Evaluation (3/21) Lecture Notes Slides (3/18) Lecture Notes (3/18) Lecture Notes (3/21) Lecture Code & Data Tues data: bit.ly/ds2500_gdrive Tues code: knn_mar18.ipynb Fri starter code: knn_mar21.ipynb Fri finished code: knn_mar21_finished.ipynb	Lab 4	HW5 - due 3/28 @9pm
12 Mar 25, 28	DS Week Multiple Linear Regression More with scikit-learn Geopandas and advanced visualizations Fri: Lab 4-5 Late Deadline Fri: Zoom ONLY, 3:25pm lecture ONLY (recorded)	Exam Practice Exam 2 Practice Questions Videos Lecture Video: Multiple Linear Regression (3/25) Live Lecture Recording: Zoom link, pwd: `vJ+UK=4?` Lecture Notes Lecture Notes (3/25) Slides (3/28) Lecture Code & Data Tues code: multi_linreg.ipynb Fri code: geopandas.ipynb	Lab 5
13 Apr 1, 4	Exam Week Tue - K-Means Clustering FRI - EXAM TWO	Lecture Code & Data aliens.json kmeans.py Videos Lecture video: KMeans Clustering (4/1) Lecture Notes Slides (4/1) Lecture Notes (4/1)	Lab - Exam Review
14 Apr 8, 11	DS Week Working with text-based data NLP Techniques Probability distibutions Prediction models and simulations	Lecture Code & Data aliens.json kmeans_text.ipynb montecarlo.py Lecture Notes Lecture Notes (4/8) Slides (4/11) Lecture Notes (4/11)	Lab - project work	2nd chance HW - due 4/11 @9pm
15 Apr 15	Last Day! Tue: Topic TBD No Lab	Slides: LLMs (4/15)		Semester Project - due 4/15 @9pm
Finals Week	Extra-Credit Opportunity (Optional!) April 18, 23, 24. 8-10am Sign up to present During designated finals slot In-person OR online presentation of your semester project Extra-credit OR make-up for mini-presentation (up to 3 points) (If you don't currently have an A!)

Key Dates

Class Schedule & Topics