Data Science and Big Data Analytics: E20-007 Exam
"Data Science and Big Data Analytics", also known as E20-007 exam, is a EMC Certification. With the complete collection of questions and answers, ExamcollectionPass has assembled to take you through 165 Q&As to your E20-007 Exam preparation. In the E20-007 exam resources, you will cover every field and category in Data Scientist Certification helping to ready you for your successful EMC Certification.
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- Exam Code: E20-007
- Exam Name: Data Science and Big Data Analytics
- Certification Provider: EMC
- Corresponding Certification: Data Scientist
- Updated: Aug 29, 2026
- No. of Questions: 165 Questions & Answers with Testing Engine
- Download Limit: Unlimited
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E20-007 Practice Q&A's
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Salary of EMC certified Data Science Associate Professional
- India: 5789414 INR
- England: 61058 Pound
- Europe: 69498 Euro
- United States: 76000 USD
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EMC E20-007 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Big Data and Data Science Fundamentals | - Roles and responsibilities in data science projects - Data Science lifecycle and methodologies - Big Data concepts and characteristics (Volume, Velocity, Variety) |
| Topic 2: Data Management and Processing | - Hadoop ecosystem overview (HDFS, MapReduce) - Data ingestion and data preparation techniques - Structured vs unstructured data handling |
| Topic 3: Ethics, Governance, and Business Applications | - Data privacy and ethical considerations - Data governance principles - Business use cases of data science |
| Topic 4: Machine Learning and Predictive Analytics | - Model evaluation and validation basics - Classification and regression techniques overview - Supervised and unsupervised learning concepts |
| Topic 5: Data Visualization and Interpretation | - Communicating insights from data - Exploratory data analysis (EDA) - Data visualization techniques and tools |
| Topic 6: Statistical and Analytical Methods | - Inferential statistics fundamentals - Data sampling and distributions - Descriptive statistics and probability basics |
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