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