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What are the registration steps for the DEA-7TT2 Associate - Data Science and Big Data Analytics v2 Certification Exam
Here are the steps you need to take to register for the DEA-7TT2 Associate - Data Science and Big Data Analytics v2 Certification Exam:
Read the DEA-7TT2 Certification Candidate Agreement
Create an account on the EMC Proven Professional website
Register for a Pearson VUE account
Schedule your test
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EMC Dell EMC Certification DEA-7TT2 Associate - Data Science and Big Data Analytics v2 Exam Exams
Our Exam DEA-7TT2 Preparation Material provides you everything you will need to take your DEA-7TT2 Exam. The DEA-7TT2 Exam details are researched and produced by Professional Certification Experts who are constantly using industry experience to produce precise, and logical. You may get questions from different web sites or books, but logic is the key. Our Product will help you pass test in your first try, and also save your valuable time.
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Exam Description: It is well known that DEA-7TT2 exam test is the hot exam of EMC Dell EMC Certification DEA-7TT2 (Associate - Data Science and Big Data Analytics v2 Exam). IT-Tests.com offer you all the Q&A of the DEA-7TT2 Tests . It is the examination of the perfect combination and it will help you pass DEA-7TT2 exam at the first time!
Who is this Dell DEA-7TT2 Certification Exam for?
Dell DEA-7TT2 Exam provides user with the opportunity to prove their skills and knowledge of Data Science and Big Data Analytics v2. The test is available for individuals who are interested in assessing their ability to analyze data with tools, develop and implement models, design experiments, and use methods such as machine learning. This certification is suitable for those who have a solid understanding of the concepts related to data science and big data analytics; these may include linear regression and logistic regression, modeling approaches, distributions, random variables, probability theory, fundamentals of statistics, hypothesis testing, exploratory data analysis, clustering techniques, predictive modeling, classification algorithm, and others. Dell DEA-7TT2 exam dumps will help you to clear your concepts.
What are the prerequisites for Dell DEA-7TT2 Certification Exam?
There are no formal prerequisites for Dell EMC DEA-7TT2 exam. However, it's recommended that you have:
6 months experience in the IT industry and knowledge of data science fundamentals
3 months hands-on experience with data science tools
Get to know about the topics of the Dell DEA-7TT2 Certification Exam
The topics of the Dell DEA-7TT2 Certification Exam are following:
Data Analytics Lifecycle (8%)
Big Data, Analytics, and the Data Scientist Role (5%)
Advanced Analytics - Theory, Application, and Interpretation of Results for
Initial Analysis of the Data (15%)
Eight Methods (40%)
Advanced Analytics for Big Data - Technology and Tools (22%)
Operationalizing an Analytics Project and Data Visualization Techniques
(10%)
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EMC DEA-7TT2 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Big Data, Analytics, and the Data Scientist Role | 5% | - Role and required skills of a Data Scientist - Characteristics of Big Data - Business drivers for Big Data analytics |
| Advanced Analytics - Theory, Application, and Interpretation | 40% | - Classification and clustering techniques - Linear and logistic regression - Association rules and time series analysis - Model evaluation and validation methods - Unsupervised and supervised learning concepts |
| Advanced Analytics for Big Data - Technology and Tools | 22% | - Advanced SQL: window functions, aggregates, MADlib - Hadoop ecosystem and its components - Spark and distributed processing frameworks - In-database analytics and SQL fundamentals |
| Initial Analysis of the Data | 15% | - Statistical measures and data visualization - Hypothesis testing concepts and application - Basic R commands for data exploration |
| Operationalizing an Analytics Project and Data Visualization | 10% | - Guidelines for communicating findings - Visualization best practices and tools - Deployment and integration of models |
| Data Analytics Lifecycle | 8% | - Model building phase activities and roles - Data preparation phase activities and roles - Purpose and phases of the lifecycle - Model planning phase activities and roles - Communicating results and operationalization - Discovery phase activities and roles |
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