Spring 2023
STAT C100 001 - LEC 001
Formerly Statistics C100/Computer Science C100
Principles & Techniques of Data Science
Lisa Yan, Narges Norouzi
Class #:23792
Units: 4
Instruction Mode:
In-Person Instruction
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
3 hours of instructor presentation of course materials per week, 7 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.
Final Exam
THU, MAY 11TH
08:00 am - 11:00 am
Evans 10
Wheeler 150
Dwinelle 155
Dwinelle 145
Birge 50
Genetics & Plant Bio 100
Latimer 120
Physics Building 4
Barker 101
Dwinelle 187
Cory 241
Cory 247
Cory 289
Other classes by Lisa Yan
Other classes by Narges Norouzi
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; and COMPSCI 61A, COMPSCI 88, or ENGIN 7; Corequisite: MATH 54 or EECS 16A.
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
Textbooks & Materials
See class syllabus or https://calstudentstore.berkeley.edu/textbooks for the most current information.
Guide to Open, Free, & Affordable Course Materials