DSE 510 - Data Science and Engineering Practicum

This course provides an introduction of tools and methods used to explore, visualize, and analyze data. It covers practical steps in preparing data for analysis including data cleaning, preprocessing, and data reduction, data structures for supporting efficient data exploration and analysis and visualization methods for gaining insights from data. Students will gain knowledge and experience through applying data science tools and methods to real world data sets. This course will be taught using Python ecosystem of tools that support data science including: NumPy, Pandas, Matplotlib, and SciPy, among others.

Prerequisites & Notes
SIE 507 or instructors permission

Credits: 3