Exam Name: Data Science and Big Data Analytics
Certification Provider: EMC
Corresponding Certification: Data Scientist
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Data Science and Big Data Analytics: E20-007 Exam Premium File as PDF & Test Engine
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Last Updated: Oct 07, 2026
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What are the Test questions for EMC E20-007 Exam are as follow
Candidates must know the exam topics before they start preparation. Because it will really help them in hitting the core. Our EMC E20-007 exam dumps will include the following topics:
- Big Data Analytics and the Data Scientist Role (7%)
- Initial Analysis of the Data (15%)
- Data Analytics Lifecycle (9%)
- Operationalizing an Analytics Project and Data Visualization Techniques (9%)
- Advanced Analytics for Big Data - Theory and Methods (40%)
- Advanced Analytics for Big Data - Technology and Tools (20%)
Now you can learn about the EMC Data Science Associate Certification Exam
EMC E20-007 Exam Preparation Guide
Paramount information of EMC E20-007 Exam
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EMC E20-007 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Big Data Analytics Technologies | 20% | - Big Data architecture concepts - Hadoop ecosystem concepts - Distributed processing and storage - NoSQL databases and big data platforms |
| Topic 2: Introduction to Big Data and Data Science | 5% | - Big Data concepts and characteristics - Data Scientist role and required skills - Business drivers for analytics and data science |
| Topic 3: Data Visualization and Presentation | 15% | - Presenting analytical results - Visualization principles - Visualization techniques and tools |
| Topic 4: Data Analytics Methods and Techniques | 20% | - Predictive analytics - Machine learning concepts - Data mining techniques - Statistical analysis |
| Topic 5: Advanced Analytics Topics | 15% | - Text analytics and natural language processing - Time series analysis - Social network analysis |
| Topic 6: Data Collection, Transformation, and Preparation | 15% | - Data cleansing and quality management - Data acquisition methods - Data transformation and feature engineering |
| Topic 7: Data Analytics Lifecycle | 10% | - Model planning and model building - Discovery and business understanding - Communicating results and operationalizing models - Data preparation and exploration |
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