Below you can find the lecture slides and recordings from this semester. MIT authentication is required to view the recordings. Content will be posted a day or two after lecture. Keep in mind that the slides are not meant to be a comprehensive coverage of all topics in every lecture, but rather a rough outline of the class for the day.

• Lecture 01 (02/06) [Slides][Video] - What is Data Science?
• Lecture 02 (02/08) [Slides][Video] Data Representations and SQL I
• Lecture 03 (02/15) [Slides][Queries][ Video (Spring 2022) (Note missing section from minute 40-60) ] - Data Representations and Basic Operations II
  
• Lecture 04 (02/22) [Slides][Video] [Code] - Pandas
• Lecture 05 (02/27) [Slides][Video] [Code] - Data Wrangling
• Lecture 06 (02/29) [Slides][Video][Code] - Data Cleaning & Entity Resolution
• Lecture 07 (03/05) [Slides][Video] - Machine Learning I
• Lecture 08 (03/07) [Slides][Video] - Machine Learning II & Reversed Lecture: ML in Python
• Lecture 09 (03/12) [Slides][Video] - Embeddings
• Lecture 10 (03/14) [Slides][Video] - RAG Architecture
• Lecture 11 (03/19) [Slides][Quiz 1 Review][Video] - Language Model/Quiz 1 Review
• Quiz 1 Practice Material - [Q1_2022][Q1_2022_sol][Q1_practice][Q1_practice_sol]
• Lecture 12 (04/02) [Slides][Video (Missing Audio)] - LLM
• Lecture 13 (04/04) [Slides][Notes][Video (2022 Version)] - Scaling Beyond Python
• Lecture 14 (04/09) [Slides][Video] - Data Layouts
• Lecture 15 (04/11) [Slides][Code][Video] - Sampling and Sketching
• Lecture 16 (04/16) [Slides][Video]- Parallelism I
• Lecture 17 (04/18) [Slides][Code][Video]- Parallelism II
• Lecture 18 (04/23) [Slides] - Data Science: Research Systems and Discoveries