This is an accordion element with a series of buttons that open and close related content panels.
Course Outline
DAY 1
- Course Introduction
- Module 1: Basics of Python, Getting Data into Python, Data Manipulation in Python
- Module 2: Data Visualization, From Data to Insights
- In-class Exercise and Q&A
DAY 2
- Day 1 Recap
- Module 3: Classification and Supervised Models in Python
- Module 4: Clustering and Unsupervised Learning in Python
- Module 5: Frequent pattern mining in Python
- In-class Exercise and Q&A
DAY 3
- Day 2 Recap
- Module 6: Introduction to Python for Data Analytics
- Module 7: Failure Event Modeling Approaches in Python
- Module 8: Anomaly Detection with SPC and Multivariate Monitoring
- In-class Exercise and Q&A
DAY 4
- Day 3 Recap
- Module 9: Deep Learning for Data Analytics
- Module 10: Time Series Forecasting in Python
- Break
- In-class Exercise and Final Q&A