Introduces topics and libraries related to data analytics in the Python programming language. Learners will explore reading, processing, and writing files in native Python. Then they will explore data analytics, processing and visualization using NumPy, Pandas, Matplotlib and Seaborn.
We offer the following class sections for this course (10-156-103). View more class specific details and registration information by selecting a class number.
| Section | Status | Start/End Date | Register By | Instruction Mode | Campus | Meeting Information | Cost |
|---|---|---|---|---|---|---|---|
| #01 Fall | Open |
Oct 19 –
Dec 16
|
Oct 9 | Online Milestone Due Dates | Online |
Oct 19 – Dec 16
-
Online
Zachary Thunder
|
$180.70 |
| #01 Spring | Open |
Mar 29 –
May 21
|
Apr 3 | Online Required Due Dates | Online |
Mar 29 – May 21
-
Online
Zachary Thunder
|
$180.70 |