Biological Data Science With Python.

Catalog description

Semester course; 3 lecture hours. 3 credits. Prerequisite: BNFO 201 with a minimum grade of C. This course serves as an introduction to biological data science using the Python language. Students will learn the fundamentals of probability and statistics, as well as the implementation of common bioinformatic and data science analyses. Students will build upon the basic Python programming skills covered in the prerequisite to learn the principles of data cleaning, wrangling, analysis, statistical testing and visualization by introducing appropriate Python libraries such as NumPy, Pandas, Matplotlib and Biopython.