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