2024 Summer Session C
8 weeks, June 17 - August 9
STAT C100 001 - LEC 001
Formerly Statistics C100/Computer Science C100
Principles & Techniques of Data Science
Kevin Miao, Maya Shen
Class #:14110
Units: 4
Instruction Mode:
In-Person Instruction
Time Conflict Enrollment Allowed
Offered through
Statistics
Current Enrollment
Total Open Seats:
0
Enrolled: 0
Waitlisted: 0
Capacity: 0
Waitlist Max: 0
No Reserved Seats
Also offered as:
DATA C100
Hours & Workload
6 hours of instructor presentation of course materials per week, 16 to 14 hours of outside work hours per week, 0 to 2 hours of instructional experiences requiring special laboratory equipment and facilities per week, and 2 hours of the exchange of opinions or questions on course material per week.
Other classes by Kevin Miao
Other classes by Maya Shen
Course Catalog Description
In this course, students will explore the data science lifecycle, including question formulation, data collection and cleaning, exploratory data analysis and visualization, statistical inference and prediction, and decision-making. This class will focus on quantitative critical thinking and key principles and techniques needed to carry out this cycle. These include languages for transforming, querying and analyzing data; algorithms for machine learning methods including regression, classification and clustering; principles behind creating informative data visualizations; statistical concepts of measurement error and prediction; and techniques for scalable data processing.
Rules & Requirements
Requisites
- COMPSCI C8 / DATA C8 / INFO C8 / STAT C8 with a C- or better, or Pass; and COMPSCI 61A, COMPSCI/DATA C88C, or ENGIN 7 with a C- or better, or Pass; Corequisite: MATH 54, 56 or EECS 16A (C- or better, or Pass, required if completed prior to Data C100).
Credit Restrictions
Students will receive no credit for DATA C100\STAT C100\COMPSCI C100 after completing DATA 100. A deficient grade in DATA C100\STAT C100\COMPSCI C100 may be removed by taking DATA 100.
Repeat Rules
Course is not repeatable for credit.
Reserved Seats
Current Enrollment
No Reserved Seats