Spring 2023
INDENG 243 1 - LEC 1
Analytics Lab
Daniel Pirutinsky
Class #:29322
Units: 4
Instruction Mode:
In-Person Instruction
Offered through
Industrial Engineering and Operations Research
Current Enrollment
Total Open Seats:
0
Enrolled: 78
Waitlisted: 0
Capacity: 78
Waitlist Max: 0
Open Reserved Seats:
77 reserved for Students with Enrollment Permission
Hours & Workload
3 hours of instructor presentation of course materials per week, 8 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
A project course to provide hands-on experience in end-to-end analytics development from
exploratory analytics to systems analytics in an industry context, including communication of
recommendations. Students will work in teams on projects and build solutions to
business/industry challenges using Python packages such as Pandas, NumPy, Matplotlib, scikit-
learn, Bokeh, and relevant optimization and simulation software.
Rules & Requirements
Repeat Rules
Course is not repeatable for credit.
Reserved Seats
Current Enrollment
Open Reserved Seats:
77 reserved for Students with Enrollment Permission
Textbooks & Materials
See class syllabus or https://calstudentstore.berkeley.edu/textbooks for the most current information.
Guide to Open, Free, & Affordable Course Materials