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