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IBM C1000-177 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Foundations of Data Science | - Data science concepts and lifecycle - Roles and responsibilities in data science projects |
| Machine Learning Basics | - Supervised vs unsupervised learning - Model evaluation concepts |
| Data and Analytics Fundamentals | - Data types and data sources - Data preparation and cleaning basics |
| IBM watsonx Overview | - Use cases in enterprise AI and data science - Introduction to IBM watsonx platform |






