About the Course
Create 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.
- CS X459 | Data Science: Discipline Overview, Use Cases, Methodologies, and ToolsEnroll
- CS X459.31 | SQL and Database Management with PythonEnroll
- CS X459.32 | Foundations of Statistics, Statistical Inference, and Probability with PythonEnroll
- CS X459.33 | Unsupervised Machine Learning: Clustering and Association Rules with PythonEnroll
- CS X459.34 | Supervised Machine Learning: Regression and Time Series Analysis with PythonEnroll
- CS X459.35 | Supervised Machine Learning: Introduction to Classification Algorithms with PythonEnroll