2020 Fall
INDENG 242 001 - LEC 001
Applications in Data Analysis
Daniel Pirutinsky
Aug 26, 2020 - Dec 11, 2020
Mo
04:00 pm - 06:59 pm
Internet/Online
Class #:28714
Units: 3
Instruction Mode:
Remote Instruction
Offered through
Industrial Engineering and Operations Research
Current Enrollment
Total Open Seats:
0
Enrolled:
Waitlisted:
Capacity:
Waitlist Max:
No Reserved Seats
Hours & Workload
3 hours of instructor presentation of course materials per week, 5 hours of outside work hours per week, and 1 hours of the exchange of opinions or questions on course material per week.
Other classes by Daniel Pirutinsky
Course Catalog Description
This course applies foundational concepts in programming, databases, machine learning, and statistical modeling to answer questions from business and social science. The goal is for students to develop the experience and intuition to gather and build new datasets and answer substantive questions.
Class Notes
Lectures will be recorded and available to students.
Attendance and participation in live synchronous lectures is strongly encouraged but not required. If a student is unable to participate in that way, they will be expected to view the recorded lecture and participate in group discussions as.. show more
Attendance and participation in live synchronous lectures is strongly encouraged but not required. If a student is unable to participate in that way, they will be expected to view the recorded lecture and participate in group discussions as.. show more
Lectures will be recorded and available to students.
Attendance and participation in live synchronous lectures is strongly encouraged but not required. If a student is unable to participate in that way, they will be expected to view the recorded lecture and participate in group discussions asynchronously. show less
Attendance and participation in live synchronous lectures is strongly encouraged but not required. If a student is unable to participate in that way, they will be expected to view the recorded lecture and participate in group discussions asynchronously. show less
Rules & Requirements
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