ENGI 4503Section 001Fall 20260 credits
Analytics in Python
Call number
Monday, Tuesday, Wednesday and Thursday
1:00pm–5:30pm
SCHOOL OF SOCIAL WORK SSW 903
Seat data provenance: Directory as of August 23, 2026 at 4:00 AM
Lecture · In-Person · Standard
Open to Business
Class meets at the Innovation Hub
Description
Intended to build familiarity with using Python for ingesting, analyzing, visualizing, and interpreting data. Includes data ingesting techniques, using libraries (pandas and numpy), data analytics, machine learning (using SciKit-Learn), visualization, and big data analytics (Spark).
Reviews
Course experience
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Instructor quality
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In your week
Mon7
Tue8
Wed2
Thu3
Where it meets
Flat map — motion reduced
Workload and grading
- Grading
- Standard
- Format
- LECTURE · In-Person
- Credits
- 0–1.5 credits
Reported workload
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