DSA-350: Data Preparation with Python

Credits 3
Grade Scheme
BC

This course introduces fundamental concepts and methods in data acquisition and object-oriented programming in Python. Topics cover data selection, retrieval, cleansing, transformation, and visualization. Python data structures (e.g., heap, series, DataFrames, binary search trees, etc.) are used to carry out data acquisition. The course also covers automating data acquisition tasks with Python.

Offered spring semester of even years.

Prerequisites

CSCI-130 with a minimum grade of C or on the CSCI-130 assessment exam

Term Offered
Spring Only
Even Years