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Last Updated: Sep 22, 2026
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| Section | Objectives |
|---|---|
| Introduction to Machine Learning | - Supervised vs unsupervised learning - Basic model evaluation concepts |
| Exploratory Data Analysis | - Descriptive statistics - Data visualization basics |
| Fundamentals of Data Science | - Roles in data science teams - Basic concepts of data, information, and knowledge - Data science lifecycle overview |
| Data Management and Preparation | - Data cleaning and preprocessing - Data quality concepts - Data collection and sources |
| Data Ethics and Governance | - Ethical use of data and AI - Privacy and data protection principles |
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