2025 Summer Session C
8 weeks, June 23 - August 15
DATA C100 001 - LEC 001
Formerly Statistics C100/Computer Science C100
Principles & Techniques of Data Science
Joshua Grossman, Michael Xiao
Class #:12457
Units: 4
Instruction Mode:
In-Person Instruction
Offered through
Data Science Undergraduate Studies
Current Enrollment
Total Open Seats:
45
Enrolled: 155
Waitlisted: 0
Capacity: 200
Waitlist Max: 50
No Reserved Seats
Also offered as:
STAT 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 Joshua Grossman
Other classes by Michael Xiao
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.
Class Notes
*This class uses 999 sections. In addition to the lecture, you must enroll in the DIS 999 and to enroll in the course. Selection and assignment into the actual discussion section happens outside of CalCentral. Instructors will provide more information during the first lecture.
*Discussi.. show more
*Discussi.. show more
*This class uses 999 sections. In addition to the lecture, you must enroll in the DIS 999 and to enroll in the course. Selection and assignment into the actual discussion section happens outside of CalCentral. Instructors will provide more information during the first lecture.
*Discussions will be on MW.
*If you have satisfied one or more of the pre/co-requisites with an approved substitute course or outside of UC Berkeley, please submit a request to clear requisites at https://app.smartsheet.com/b/form/2f39ecab3e6f446298ca9a0ef49fb359
*The midterm and final exam will be held in-person during regular class time (the final exam likely being longer). With the exception of students who have DSP accommodations, we will not be holding alternate exams nor will there be any remote options. show less
*Discussions will be on MW.
*If you have satisfied one or more of the pre/co-requisites with an approved substitute course or outside of UC Berkeley, please submit a request to clear requisites at https://app.smartsheet.com/b/form/2f39ecab3e6f446298ca9a0ef49fb359
*The midterm and final exam will be held in-person during regular class time (the final exam likely being longer). With the exception of students who have DSP accommodations, we will not be holding alternate exams nor will there be any remote options. show less
Rules & Requirements
Requisites
- DATA C8 or STAT 20 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, 110, EECS 16A, PHYSICS 89 or equivalent linear algebra (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