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