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EMC E20-007 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Statistical and Analytical Methods | - Data sampling and distributions - Inferential statistics fundamentals - Descriptive statistics and probability basics |
| Topic 2: Data Management and Processing | - Data ingestion and data preparation techniques - Structured vs unstructured data handling - Hadoop ecosystem overview (HDFS, MapReduce) |
| Topic 3: Ethics, Governance, and Business Applications | - Business use cases of data science - Data governance principles - Data privacy and ethical considerations |
| Topic 4: Data Visualization and Interpretation | - Data visualization techniques and tools - Exploratory data analysis (EDA) - Communicating insights from data |
| Topic 5: Machine Learning and Predictive Analytics | - Classification and regression techniques overview - Model evaluation and validation basics - Supervised and unsupervised learning concepts |
| Topic 6: Big Data and Data Science Fundamentals | - Data Science lifecycle and methodologies - Big Data concepts and characteristics (Volume, Velocity, Variety) - Roles and responsibilities in data science projects |
