Open
24 of 24 seats available Register by Oct 23
Mode
Online
Credits
1.00
Subject
IT - Data

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.

Notes
Required Due Dates

Meeting Information

Dates
Oct 21 – Dec 11
Location
Online
Instructor
Zachary Thunder