2023 Fall
DATA 200S 001 - LEC 001
Principles and Techniques of Data Science
Narges Norouzi, Fernando Perez
Aug 23, 2023 - Dec 08, 2023
Tu, Th
05:00 pm - 06:29 pm
Internet/Online
Class #:32183
Units: 3
Instruction Mode:
Online
Time Conflict Enrollment Allowed
Offered through
Data Science Undergraduate Studies
Current Enrollment
Total Open Seats:
16
Enrolled: 19
Waitlisted: 0
Capacity: 35
Waitlist Max: 0
Open Reserved Seats:
16 reserved for Molecular Science and Software Engineering Students
Hours & Workload
3 hours of instructor presentation of course materials per week, 4 hours of outside work hours per week, 1 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 Narges Norouzi
Other classes by Fernando Perez
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:
16 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