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