2024 Summer Session C
8 weeks, June 17 - August 9
DATA C100 001 - LEC 001
Formerly Statistics C100/Computer Science C100
Principles & Techniques of Data Science
Kevin Miao, Maya Shen
Class #:14181
Units: 4
Instruction Mode:
In-Person Instruction
Offered through
Data Science Undergraduate Studies
Current Enrollment
Total Open Seats:
52
Enrolled: 148
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 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.
Class Notes
*Data C100 course policies and FAQ link: https://docs.google.com/document/d/1F7NMjDnGMK-dru3L4crm63wgKwCD9QdkpJppIXkkHoA/edit?usp=sharing
*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 .. 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 .. show more
*Data C100 course policies and FAQ link: https://docs.google.com/document/d/1F7NMjDnGMK-dru3L4crm63wgKwCD9QdkpJppIXkkHoA/edit?usp=sharing
*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 in-person 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/4f6be0a282364fab8d61dd94e9975695
*The in-person final is scheduled for Thursday August, 8th from 9-11am. 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
*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 in-person 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/4f6be0a282364fab8d61dd94e9975695
*The in-person final is scheduled for Thursday August, 8th from 9-11am. 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
- 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