CS X459.36 - Data Science with Python Capstone Project

Course Description

You will show your skills by creating data solutions for real-world business problems, using methods learned over the scope of the prior courses. Projects depict the complete data science cycle including analysis, machine learning, and visualizing. Capstone projects are presented to local business stakeholders including industry, government, and academic partners.

Prerequisites

CS X459.35 - Supervised Machine Learning: Introduction to Classification Algorithms with Python (Pass)
CS X459.34 - Supervised Machine Learning: Regression and Time Series Analysis with Python (Pass)
CS X459.33 - Unsupervised Machine Learning: Clustering and Association Rules with Python (Pass)
CS X459.32 - Foundations of Statistics, Statistical Inference, and Probability with Python (Pass)
CS X459.31 - SQL and Database Management with Python (Pass)
CS X459 - Data Science: Discipline Overview, Use Cases, Methodologies, and Tools (Pass)