Spring 2024
DATA 101 001 - LEC 001
Formerly DATA C101
Data Engineering
Aditya Parameswaran
Class #:34055
Units: 4
Instruction Mode:
In-Person Instruction
Time Conflict Enrollment Allowed
Offered through
Data Science Undergraduate Studies
Current Enrollment
Total Open Seats:
-44
Enrolled: 44
Waitlisted: 0
Capacity: 0
Waitlist Max: 5
No Reserved Seats
Hours & Workload
1 hours of the exchange of opinions or questions on course material per week, 3 hours of instructor presentation of course materials per week, and 8 hours of outside work hours per week.
Final Exam
TUE, MAY 7TH
11:30 am - 02:30 pm
Etcheverry 3106
Other classes by Aditya Parameswaran
Course Catalog Description
This course will cover the principles and practices of managing data at scale, with a focus on use cases in data analysis and machine learning. We will cover the entire life cycle of data management and science, ranging from data preparation to exploration, visualization and analysis, to machine learning and collaboration, with a focus on ensuring reliable, scalable operationalization.
Class Notes
Expected final enrollment capacity for Data 101 is 45.
Requirements for priority consideration in Data 101:
-declared Data Science major
-prerequisites met (CS 61B and Data C100 with C- or better in each)
-have not taken and not enrolled in CS 186 - Intro to Dat.. show more
Requirements for priority consideration in Data 101:
-declared Data Science major
-prerequisites met (CS 61B and Data C100 with C- or better in each)
-have not taken and not enrolled in CS 186 - Intro to Dat.. show more
Expected final enrollment capacity for Data 101 is 45.
Requirements for priority consideration in Data 101:
-declared Data Science major
-prerequisites met (CS 61B and Data C100 with C- or better in each)
-have not taken and not enrolled in CS 186 - Intro to Database Systems
-on track to complete degree in Spring 2024 or Summer 2024
-will not have completed 7 units of Computational & Inferential Depth requirement prior to Spring 2024 start
-able to attend all exams - Data 101 will allow enrollment with time conflicts but will NOT provide alternate exam times. Do not enroll if you have a conflict with the final exam or will be unable to attend class on exam days.
If you do not meet all of these requirements, it is very unlikely that you will be admitted to Data 101 and it is not advised that you add to the waitlist.
Time conflicts with the lecture and discussion are allowed. show less
Requirements for priority consideration in Data 101:
-declared Data Science major
-prerequisites met (CS 61B and Data C100 with C- or better in each)
-have not taken and not enrolled in CS 186 - Intro to Database Systems
-on track to complete degree in Spring 2024 or Summer 2024
-will not have completed 7 units of Computational & Inferential Depth requirement prior to Spring 2024 start
-able to attend all exams - Data 101 will allow enrollment with time conflicts but will NOT provide alternate exam times. Do not enroll if you have a conflict with the final exam or will be unable to attend class on exam days.
If you do not meet all of these requirements, it is very unlikely that you will be admitted to Data 101 and it is not advised that you add to the waitlist.
Time conflicts with the lecture and discussion are allowed. show less
Rules & Requirements
Requisites
- COMPSCI 61B or INFO 206B or equivalent courses in programming with a C- or better, or Pass; AND COMPSCI C100/DATA C100/STAT C100 or COMPSCI 189 or INFO 251 or DATA 144 or equivalent upper-division course in data science with a C- or better, or Pass.
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