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How much is the cost for taking the Dell DEA-7TT2 Certification Exam
The cost for taking the Dell DEA-7TT2 Certification Exam is $250 USD.
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Official link to the Dell DEA-7TT2 Certification Exam
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Get to know about the topics of the Dell DEA-7TT2 Certification Exam
The topics of the Dell DEA-7TT2 Certification Exam are following:
Advanced Analytics - Theory, Application, and Interpretation of Results for
Data Analytics Lifecycle (8%)
Big Data, Analytics, and the Data Scientist Role (5%)
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%)
Here is the about the significance of taking the Dell DEA-7TT2 Certification Exam
The Dell DEA-7TT2 certification exam is for those who have a knack in dealing with data and the related issues. The Dell DEA-7TT2 exam is a kind of test that is made to ensure that the students who have opted for it are able to deal with all the problems and issues related to data science and big data analytics v2.
The benefits of having a Dell DEA-7TT2 Certification Exam are immense. It will help you out in getting an enhanced grip over your job, and you will be able to handle all the problems related to it very easily. You can go for this examination if you want to get more out of your job. Dell DEA-7TT2 exam dumps will help to get certified and get highly paid job.
It also ensures that you are able to give more than what is expected from you in your job which means that it gives you more chances of earning more money. It will help you in improving your career prospects as well as giving you a better chance of getting into some good jobs.
EMC DEA-7TT2 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Initial Analysis of the Data | 15% | - Hypothesis testing concepts and application - Statistical measures and data visualization - Basic R commands for data exploration |
| Big Data, Analytics, and the Data Scientist Role | 5% | - Role and required skills of a Data Scientist - Business drivers for Big Data analytics - Characteristics of Big Data |
| Operationalizing an Analytics Project and Data Visualization | 10% | - Deployment and integration of models - Visualization best practices and tools - Guidelines for communicating findings |
| Advanced Analytics - Theory, Application, and Interpretation | 40% | - Model evaluation and validation methods - Classification and clustering techniques - Association rules and time series analysis - Linear and logistic regression - Unsupervised and supervised learning concepts |
| Advanced Analytics for Big Data - Technology and Tools | 22% | - In-database analytics and SQL fundamentals - Spark and distributed processing frameworks - Hadoop ecosystem and its components - Advanced SQL: window functions, aggregates, MADlib |
| Data Analytics Lifecycle | 8% | - Discovery phase activities and roles - Purpose and phases of the lifecycle - Communicating results and operationalization - Model planning phase activities and roles - Model building phase activities and roles - Data preparation phase activities and roles |
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