2024 Fall
DATA 6 102 - DIS 102
Formerly Data Science, Undergraduate C6/Computer Science C6/Statistics C6
Introduction to Computational Thinking with Data
Su Min Park
Class #:34111
Units: 3
Instruction Mode:
In-Person Instruction
Offered through
Data Science Undergraduate Studies
Current Enrollment
Total Open Seats:
4
Enrolled: 23
Waitlisted: 0
Capacity: 27
Waitlist Max: 12
No Reserved Seats
Hours & Workload
3 hours of instructor presentation of course materials per week, 5 hours of outside work hours per week, 0 hours of instructional experiences requiring special laboratory equipment and facilities per week, and 1 hours of the exchange of opinions or questions on course material per week.
Other classes by Su Min Park
Course Catalog Description
An introduction to computational thinking and quantitative reasoning, preparing students for further coursework (especially Foundations of Data Science, Data 8). Emphasizes the use of computation to gain insight about quantitative problems. Uses data from various domains in the social sciences in order to develop an understanding of the societal implications of data science. Expressions, data types, collections, and tables in Python. Programming practices, abstraction, and iteration. The data science lifecycle. Visualizing univariate and bivariate data with bar charts, histograms, plots, and maps. Introduction to statistical concepts including averages and distributions, prediction, causality, probability, sampling, and inference.
Rules & Requirements
Credit Restrictions
Students will receive no credit for DATA 6 after completing DATA C8.
Repeat Rules
Course is not repeatable for credit.
Requirements class fulfills
Meets Social & Behavioral Sciences, L&S Breadth
Reserved Seats
Current Enrollment
No Reserved Seats
Textbooks & Materials
See class syllabus or https://calstudentstore.berkeley.edu/textbooks for the most current information.
Guide to Open, Free, & Affordable Course Materials