Spring 2023
DATA 200S 001 - LEC 001
Principles and Techniques of Data Science
Lisa Yan, Narges Norouzi
Jan 17, 2023 - May 05, 2023
Tu, Th
11:00 am - 12:29 pm
Internet/Online
Class #:33479
Units:3
Instruction Mode:
In-Person Instruction
Time Conflict Enrollment Allowed
Offered through
Data Science Undergraduate Studies
Current Enrollment
Total Open Seats:
2
Enrolled: 5
Waitlisted: 0
Capacity: 7
Waitlist Max: 0
Open Reserved Seats:
3 reserved for Molecular Science and Software Engineering Students
Hours & Workload
3 hours of instructor presentation of course materials, 4 hours of outside work hours, 1 hours of instructional experiences requiring special laboratory equipment and facilities, and 1 hours of the exchange of opinions or questions on course material.
Other classes by Lisa Yan
Other classes by Narges Norouzi
Course Catalog Description
Explores the data science lifecycle: question formulation, data collection and cleaning, exploratory, analysis, visualization, statistical inference, prediction, and decision-making. Focuses on quantitative critical thinking and key principles and techniques: languages for transforming, querying and analyzing data; algorithms for machine learning methods: regression, classification and clustering; principles of informative visualization; measurement error and prediction; and techniques for scalable data processing. Research term project.
Rules & Requirements
Credit Restrictions
Students will receive no credit for DATA 200S after completing DATA C100, or DATA C200. A deficient grade in DATA 200S may be removed by taking DATA C200.
Repeat Rules
Course is not repeatable for credit.
Reserved Seats
Current Enrollment
Open Reserved Seats:
3 reserved for Molecular Science and Software Engineering Students
Textbooks & Materials
See class syllabus or https://calstudentstore.berkeley.edu/textbooks for the most current information.
Guide to Open, Free, & Affordable Course Materials