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What is the enrollment procedure for the EMC E20-007 Exam
In order to apply for the EMC E20-007 Exam, You have to follow
Step 1: Visit to Dell EMC Exam Registration Step 2: Signup/Login to Dell account Step 3: Search for EMC E20-007 Certifications Exam Step 4: Select Date and Center of examination and confirm with payment value of $165
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- The price of the EMC E20-007exam is $165 USD.
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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%)
- Operationalizing an Analytics Project and Data Visualization Techniques (9%)
- Advanced Analytics for Big Data - Technology and Tools (20%)
- Advanced Analytics for Big Data - Theory and Methods (40%)
- Data Analytics Lifecycle (9%)
- Initial Analysis of the Data (15%)
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EMC E20-007 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Data Analytics Methods and Techniques | 20% | - Statistical analysis - Machine learning concepts - Predictive analytics - Data mining techniques |
| 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 |
| Data Collection, Transformation, and Preparation | 15% | - Data transformation and feature engineering - Data cleansing and quality management - Data acquisition methods |
| Data Analytics Lifecycle | 10% | - Data preparation and exploration - Communicating results and operationalizing models - Model planning and model building - Discovery and business understanding |
| Advanced Analytics Topics | 15% | - Time series analysis - Social network analysis - Text analytics and natural language processing |
| Data Visualization and Presentation | 15% | - Presenting analytical results - Visualization techniques and tools - Visualization principles |
| Big Data Analytics Technologies | 20% | - NoSQL databases and big data platforms - Hadoop ecosystem concepts - Distributed processing and storage - Big Data architecture concepts |

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