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About EMC®  Data Science and BigData Analytics Certification Exam – DEA-7TT2 : As per Latest Syllabus and one of the demanding certification among data scientists and data analytics engineer  : Total 295 Questions with detailed explanation : EMC data science certification is in high demand, because there are already data analytics team exists and they wanted to certify themselves as a Data Scientist. By doing this certification it would help in adding title as a data scientists. As you know, demand for data scientists is quite high since last few years. So to get certified as a data scientists you required a good knowledge starting from the Statistics, Programming, Machine Learning, BigData components etc. We at HadoopExam since last 7 years giving training and certification preparation material for BigData, Analytics and various programming. On the same track we are able to provide the Certification Preparation Material for the EMC Data Scientists Associate as well as Specialist Certification preparation material. Please check the entire syllabus in the below section for this certification. Why you should do this certification. There are multiple reasons for that as below
  • It helps in your career growth.
  • One of the prestigious title "Data Scientists"
  • High Pay Packages
  • Most of the time, you will be working with the talented people.
  • Give opportunity to work with Research , Marketing, Sales team
Who should do this certification? This certification is must for the following professionals
  • Software Engineers, working on the data
  • Data Analytics Engineer (Already working on SAS, R, Tableau, Qlik, SPSS)
  • Data Mining Engineers
  • Students who planned their career for the data scientist role.
  • Anybody else willing to take opportunity to work with data scientist.
In this certification EMC covers the 6 Major Topics as BigData, Analytics, and Data Scientists Role (5%) , Data Analytics Lifecycle(8%), Initial Analysis of the data(15%), Advanced Analytics-Theory, Application, and Interpretation of Results for Eight Methods(40%), Advanced Analytics for BigData-Technology and Tools(22%), Operationalizing an Analytics Project and Data Visualization Techniques(10%). Generally it takes 2-3 months to prepare this certification, but our study material can help in faster learning. Hence, we recommend you subscribe for combo package as listed below to get more than one products. 

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  EMC Data Science Associate : DEA-7TT2   EMC Data Science Specialist Certification Exam   Hadoop Professional Training

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Required Skills for EMC DEA-7TT2 Associate Certfication 

Big Data, Analytics, and the Data Scientist Role (5%) : 3 Quuestions

• Define and describe the characteristics of Big Data

• Describe the business drivers for Big Data analytics and data science

• Describe the Data Scientist role and related skills

 Data Analytics Lifecycle (8%) : 5 Questions

• Describe the data analytics lifecycle purpose and sequence of phases

• Discovery - Describe details of this phase, including activities and associated roles

• Data preparation - Describe details of this phase, including activities and associated roles

• Model planning - Describe details of this phase, including activities and associated roles

• Model building - Describe details of this phase, including activities and associated roles

 Initial Analysis of the Data (15%) : 9 Questions

• Explain how basic R commands are used to initially explore and analyze the data

• Describe and provide examples of the most important statistical measures and effective visualizations of data

• Describe the theory, process, and analysis of results for hypothesis testing and its use in evaluating a model

Advanced Analytics - Theory, Application, and Interpretation of Results for Eight Methods (40%) : 24 Questions

• K-means clustering (3 Questions)

• Association rules (3 Questions)

• Linear regression (3 Questions)

• Logistic Regression (3 Questions)

• Naïve Bayesian classifiers (3 Questions)

• Decision trees (3 Questions)

• Time Series Analysis (3 Questions)

• Text Analytics (3 Questions)

 Advanced Analytics for Big Data - Technology and Tools (22%) :  14 Questions

• Describe the technological challenges posed by Big Data

• Describe the nature and use of MapReduce and Apache Hadoop

• Describe the Hadoop ecosystem and related product use cases

• Describe in-database analytics and SQL essentials

• Describe advanced SQL methods: window functions, ordered aggregates, and MADlib

 Operationalizing an Analytics Project and Data Visualization Techniques (10%) : 6 Questions

• Describe best practices for communicating findings and operationalizing an analytics project

• Describe best practices for building project presentations for specific audiences

• Describe best practices for planning and creating effective data visualizations

Features of the Certification Material
1. Entire syllabus will be covered.
2. All questions comes with detailed explanation
3. Any future updates will be free on single and same machine.
4. Our expert regularly update the simulator.
5. It will help you gain confidence and reduce study time.
6.  Continuous updats and correct/incorrect  way of solutions explanation

Note : This product is tested only on Windows Operating System. IOS users are using this Wine Bottler or VMWare to run exe.

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Sample Questions are available Below
Question-1: What are the characteristics of the structured data?
Question-2: Which of the following are true for semi-structured data?
Question-3: Which of the following are example of quasi-structured data?
Question-4: Which of the following are the characteristics of the unstructured data?
Question-5: What a data scientists can do with the clickstream data?
Question-6: What all are the benefits of using the BigData Projects which were not available in the Non-BigData solutions?
Question-7: Which of the following question statement falls under data science category?
Question-8: Which of the following skills a data scientists required?
Question-9: Which of the following steps you will be using in the discovery phase?
Question10: Which of the following tool can be used to load and clean the huge volume of data?
Question11: What are the key outcomes of the successful analytical projects?
Question12: Order the all the steps correctly which you can follow while implementing advance analytics data science project?
Question13: You are working on a Data Science project and during the project you have been gibe a responsibility to interview all the stakeholders in the project. In which phase of the project you are?
Question14: You are working as a data scientists in a retail chain company. To you and your team have been given a project to implement recommendation engines for the products which company is selling online and you decided to create an analytics sandbox
Question15: You are working with a training company which provides online trainings in various profession. You have received the data for further analysis which are already transformed and structured. You find that there is a high correlation between cou
Syllabus : EMC DEA-7TT2 : Data Science Associate

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Books on Spark or PDF to read : Machine Learning with Spark, Fast Data Processing with Spark (Second edition), Mastering Apache Spark, Learning Hadoop 2, Learning Real-time Processing with Spark Streaming, Apache Spark in Action, Apache Spark CookBook, Learning Spark, Advanced Analytics with Spark Download

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