Introduction to Data Structures and Analytics
7.5 weeks; 4 hours of lecture per week. The ability to represent, manipulate, and analyze structured data sets is foundational to the modern practice of data science. This course introduces students to the fundamentals of data structures and data analysis (in Python). Best practices for writing code are emphasized throughout the course. This course forms the second half of a sequence that begins with INFO 206A. It may also be taken as a stand-alone course by any student that has sufficient Python experience.
Signing Up for I School Classes
Instructions for Berkeley undergrads, graduate students, and community members