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Data Analysis, Machine Learning and AI with Python: An Applied Case Study Approa

PYT530

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 2025

Data Analysis, Machine Learning and AI with Python: An Applied Case Study Approa

Meeting 1: Classification
Meeting 2: Regression
Meeting 3: Ensemble Methods
Meeting 4: Clustering, Dimension Reduction
Meeting 5: Outliers, Introduction to Neural Networks
Meeting 6: Project

Learner Outcomes
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.

PYT520 or equivalent experience.

Night

$2,69500

  • Date
  • Days of the Week
  • Time
  • Duration
  • Hours/CEUs
  • Jun 02 - Jun 25, 2026
  • Tue,Thu
  • 5:30 PM - 8:30 PM (CST)
  • 8 Nights
  • 24 hours / 2.4 CEUs
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Night

$2,69500

  • Date
  • Days of the Week
  • Time
  • Duration
  • Hours/CEUs
  • Nov 02 - Nov 30, 2026
  • Mon,Wed
  • 5:30 PM - 8:30 PM (CST)
  • 9 Nights
  • 27 hours / 2.7 CEUs
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