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ISQI CDFL Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Fundamentals of Data Science | - Data science lifecycle overview - Roles in data science teams - Basic concepts of data, information, and knowledge |
| Topic 2: Data Management and Preparation | - Data collection and sources - Data quality concepts - Data cleaning and preprocessing |
| Topic 3: Exploratory Data Analysis | - Data visualization basics - Descriptive statistics |
| Topic 4: Data Ethics and Governance | - Privacy and data protection principles - Ethical use of data and AI |
| Topic 5: Introduction to Machine Learning | - Supervised vs unsupervised learning - Basic model evaluation concepts |







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