Programming for Data Science

Hours

3.0 Credit, 3 Lecture, 0 Lab

Semester

Fall,

Winter

Introduction to the field of data science with a focus on analytics. Topics include programming, data visualization, bivariate and multivariate statistics, and data driven business decision making. Complete rigorous projects implementing these skills in business situations.

Python Programming

Be able to program in the Python language with a focus on importing, cleaning, transforming, and exploring datasets

Statistical Analysis

Be able to select, run, and interpret univariate, bivariate, and multivariate statistical analyses and visualizations.

Data Storytelling

Be able to derive valuable insights from data and communicate a compelling story