COMS BC1016Introduction to Computational Thinking and Data Science3.00
This course and its co-requisite lab course will introduce students to the methods and tools used in data science to obtain insights from data. Students will learn how to analyze data arising from real-world phenomena while mastering critical concepts and skills in computer programming and statistical inference. The course will involve hands-on analysis of real-world datasets, including economic data, document collections, geographical data, and social networks. The course is ideal for students looking to increase their digital literacy and expand their use and understanding of computation and data analysis across disciplines. No prior programming or college-level math background is required
- Subject
- COMS BC
- Credits (min)
- 3
- Credits (max)
- 3
- Credit unit
- points
- Type
- course
- Edition
- 2026
- Source
- bulletin.columbia.edu