Course Description
In this hands-on, case study-based course, students learn to use data analysis, Machine Learning, and Neural networks. More specifically, students learn classification, regression, ensemble methods, clustering, dimension reduction, and how to apply all of these tools and skills to decision making and a successful project.
Data Analysis, Machine Learning and AI with Python: An Applied Case Study Approa Dec 2025Data Analysis, Machine Learning and AI with Python: An Applied Case Study Approa
Meeting 2: Regression
Meeting 3: Ensemble Methods
Meeting 4: Clustering, Dimension Reduction
Meeting 5: Outliers, Introduction to Neural Networks
Meeting 6: Project
You will learn Python as well as machine learning and neural networks. You’ll utilize tools used by real data scientists like Numpy and Pandas, practice predictive modeling and model selection, and learn how to tell a compelling story with data to drive decision making.
Related Certificates
Earning a Saint Louis University Workforce Center certificate allows you to enhance your career options by networking with peers and establishing valuable industry contacts.
ISACA Professional Certificate
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud.
See Details
Artificial Intelligence and Large Language Models Foundations
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud.
See Details
Artificial Intelligence and Machine Learning for Cybersecurity Operations
Artificial intelligence (AI) and machine learning (ML) are revolutionizing the cybersecurity industry. The emergence of ML as a tool for...
See Details