Data Analytics in Python

Catalog description

3 Lecture Hour(s) 0 Lab Hour(s) This course teaches how to develop efficiently well-designed, well-documented, tested, and integrated Python code for users to solve problems in data analytics. The student will become proficient with standard Python packages inclulding NumPy (numerical computing) pandas (data manipulation and analysis), Matplotlib (plotting), ggplot2 (visualization), and statsmodels and other statistical packages. The student will also be introduced to machine learning (package scikit-learn), natural language processing (package NLTK), and network science (package NetworkX).