2022 Fall
DATA C100 001 - LEC 001
Formerly Statistics C100/Computer Science C100
Principles & Techniques of Data Science
William Fithian, Fernando Perez
Class #:25071
Units:4
Instruction Mode:
In-Person Instruction
This class is audio and/or visually recorded
Offered through
Data Science Undergraduate Studies
Current Enrollment
Total Open Seats:
30
Enrolled: 1000
Waitlisted: 0
Capacity: 1030
Waitlist Max: 265
No Reserved Seats
Hours & Workload
3 hours of instructor presentation of course materials, 7 hours of outside work hours, 1 hours of instructional experiences requiring special laboratory equipment and facilities, and 1 hours of the exchange of opinions or questions on course material.
Final Exam
TUE, DECEMBER 13TH
03:00 pm - 06:00 pm
RSF Fieldhouse
Valley Life Sciences 2050
Social Sciences Building 170
Other classes by William Fithian
Other classes by Fernando Perez
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
*Pre/co-requisites for this course are ENFORCED.
*Out-of-class midterm exam tentatively set for October 19, 7-9pm.
*If you completed an approved alternate UC Berkeley prerequisite course or an approved transfer course, please submit an enrollment request for Data C100. See .. show more
*Out-of-class midterm exam tentatively set for October 19, 7-9pm.
*If you completed an approved alternate UC Berkeley prerequisite course or an approved transfer course, please submit an enrollment request for Data C100. See .. show more
*Pre/co-requisites for this course are ENFORCED.
*Out-of-class midterm exam tentatively set for October 19, 7-9pm.
*If you completed an approved alternate UC Berkeley prerequisite course or an approved transfer course, please submit an enrollment request for Data C100. See https://data.berkeley.edu/fall-2022-classes for details.
*This class uses 999 and 999L sections. In addition to the lecture, you must enroll in the DIS 999 and LAB 999 to enroll in the course. Selection and assignment into the actual sections happen outside of CalCentral. Instructors will provide more information during the first lecture.
*Lab sections will be after lecture on Tuesdays and discussion sections will be on Fridays. show less
*Out-of-class midterm exam tentatively set for October 19, 7-9pm.
*If you completed an approved alternate UC Berkeley prerequisite course or an approved transfer course, please submit an enrollment request for Data C100. See https://data.berkeley.edu/fall-2022-classes for details.
*This class uses 999 and 999L sections. In addition to the lecture, you must enroll in the DIS 999 and LAB 999 to enroll in the course. Selection and assignment into the actual sections happen outside of CalCentral. Instructors will provide more information during the first lecture.
*Lab sections will be after lecture on Tuesdays and discussion sections will be on Fridays. show less
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.
- Undergraduate Students - Excludes Visiting Students
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