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 (01/31) [Slides][Video] - What is Data Science?
• Lecture 02 (02/02) [Slides][Video] - Data Representations and Basic Operations I
• Lecture 03 (02/07) [Slides][Video][Code] - Data Representations and Basic Operations II
  *No audio between ~40:00-60:00.
• Lecture 04 (02/09) [Slides][Video][Code] - Data Representations and Basic Operations III
• Lecture 05 (02/14) [Slides][Video] - Guest lecture: Anant Bhardwaj
• Lecture 06 (02/16) [Slides][Video][Code] - Data Extraction & Wrangling
• Lecture 07 (02/22) [Slides][Video] - Data Cleaning & Entity Resolution I
• Lecture 08 (02/23) [Slides][Video] - Data Cleaning & Entity Resolution II
• Lecture 09 (02/28) [Slides][Video] - Data Cleaning & Entity Resolution III
• Lecture 10 (03/02) [Slides][Video] - Machine Learning Overview I
• Lecture 11 (03/07) [Slides][Video][Code] - Machine Learning Overview II & Reversed Lecture: ML in Python
• Lecture 12 (03/09) [Slides][Video] - Machine Learning Overview III
• Quiz 1 Prep (03/09) [Problems][Solutions]
• Lecture 13 (03/14) [Slides][Video] - Embeddings
• Lecture 14 (03/28) [Slides][Video] - Visualization
• Lecture 15 (03/30) [Slides][Video][Code] - Reversed Lecture: Visualization
• Lecture 16 (04/04) [Slides][Video][Code] - Scaling Beyond Python
• Lecture 17 (04/06) [Slides][Video] - Data Layouts
• Lecture 18 (04/11) [Slides][Video] - Parallelism
• Lecture 19 (04/13) [Slides][Video][Code] - Scalable Data Processing (Spark) & Reversed Lecture: Parallelism
• Lecture 20 (04/20) [Slides][Video] - Lying With Statistics
• Lecture 21 (04/25) [Slides I II][Video] - Cloud Data Tools
• Lecture 22 (04/27) [Slides][Video][Code] - CMT Case & Sampling
• Lecture 23 (05/02) [Slides][Video] - Quiz 2 Review
• Project Presentations (05/09) [Video]