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EMC DEA-7TT2 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Advanced Analytics for Big Data - Technology and Tools | 22% | - Advanced SQL: window functions, aggregates, MADlib - Hadoop ecosystem and its components - In-database analytics and SQL fundamentals - Spark and distributed processing frameworks |
| Topic 2: Advanced Analytics - Theory, Application, and Interpretation | 40% | - Association rules and time series analysis - Model evaluation and validation methods - Unsupervised and supervised learning concepts - Classification and clustering techniques - Linear and logistic regression |
| Topic 3: Data Analytics Lifecycle | 8% | - Model planning phase activities and roles - Purpose and phases of the lifecycle - Data preparation phase activities and roles - Communicating results and operationalization - Discovery phase activities and roles - Model building phase activities and roles |
| Topic 4: Big Data, Analytics, and the Data Scientist Role | 5% | - Characteristics of Big Data - Business drivers for Big Data analytics - Role and required skills of a Data Scientist |
| Topic 5: Initial Analysis of the Data | 15% | - Basic R commands for data exploration - Statistical measures and data visualization - Hypothesis testing concepts and application |
| Topic 6: Operationalizing an Analytics Project and Data Visualization | 10% | - Visualization best practices and tools - Guidelines for communicating findings - Deployment and integration of models |
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