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234 Questions for Data Science Certification EMC E20-007 (Data Science Associate) for real exam : Highest Number of Questions 

Now includes 26 Page PDF Revision Notes

Data Science certification really needs a good and in depth knowledge of statistics cum BigData Hadoop knowledge. It also require you to have good knowledge in like the main phases of the Data Analytics Lifecycle, analyzing and exploring data with R, statistics for model building and evaluation, the theory and methods of advanced analytics and statistical modeling, the technology and tools that can be used for advanced analytics, operationalizing an analytics project, and data visualization techniques. Successful candidates will achieve the EMC Proven Professional – Data Science Associate credential. Hence to clear the real exam it realy needs very well preparation. So HadoopExam Learning Resources brings Data Science Certification Simulator with 234 Practice Questions, which can help you to prepare for this exam in lesser time. Practice - practice - practice! e EMC:DS E20-007 Exam Simulator offers you the opportunity to take 4 sample Exams before heading out for the real thing. Be ready to succeed on exam day!

  • Training Access : No time constraint Anytime Access (Any future enhancements on training will be free)
  • Question Bank (Simulator) : Now you can have free updates for additional or updated Questions  anytime (Any future updates on same activation is free)
  • Hadoop Annual Subscription

Below are the Data Science Certification video Sessions (Watch it in full screen mode)

EMC Data Science Certification Material

Module-1 : EMC Data Science Certification 

Tutorial (E20-007)


Module 2 : Data Science and Machine Learning

(EMC and Cloudera Certification)

If you are looking for Online Sample Questions than Click Here

Bullet Points How Practice Questions are updated (Never Outdated)

1. Almost all questions are covered from EMC DS E20-007 exam question pools (Practice Questions).

2. Our expert regularly appear in  exam and simulator is updated

3. All Practice Questions are included from the creator of exams and Sample Practice Exam.

4. Always updated and correct/incorrect answers explanation

5. Record of 100% success ratio.

6. All possible exam questions are included in 234 Practice questions, so you would easily clear the exam in first attempt



This video shows how our exam simulator works

Exhaustive explanation to all required questions

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Today i have cleared CCA175 and Scored 9 out of 10 questions.....
 I have gone through all the CCA175 Questions and practice the code provided by HadoopExam.com  
 Thanks for your questions and code content. The content was excellent and it helped me a lot. 
 (Especially I have gone through all the Spark Professional training module as well)

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2. EMC DS : E20:065 : Data Science Specialist($65/2900INR)


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2. EMC DS : E20:065 : Data Science Specialist ($65/2900INR)
3. Hadoop Professional Training with HandsOn Session($79/3900INR)
4. Apache Spark Professional Training with HandsOn Serssion ($75/3500INR)
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Benefits/Features

Simulator Benefits Exam Syllabus
  •  4 Full length mock exams (234 Unique Questions)
  • Objective based Practice Tests
  • Exhaustive explanation with every question
  • 100% Syllabus covered: All exam objectives
  • 100% Unconditional test pass guarantee
  • Gain confidence and reduce study time
  • Learn to manage your exam time effectively
  • Confirm that you are improving with every simulation
  • Learn to apply effective "test taking strategies"
  • 234 highly realistic Data Science (EMC DS E20-007) exam questions.
  • Created by EMC DS E20-007 certifed professional
  • Detailed explanations for all required answers
  • Simulated EMC:DS E20-007 exam environment
  • Retake all exams as many times as you like
  • Based on the most current EMC:E20-007 Certification Guide
  • Free updates on same machine (No additional charge)

 

Big Data Analytics, and the Data Scientist Role
  •  The characteristics of Big Data
  •  The practice of analytics
  •  The role and required skills of a Data Scientist
Data Analytics Lifecycle
  •  Discovery
  •  Data preparation
  •  Model planning and building
  •  Communicating results
  •  Operationalizing a data analytics project
Initial Analysis of the Data
  •  Using basic R commands to analyze data
  •  Using statistical measures and visualization to understand data
  • The theory, process, and analysis of results to evaluate a model
Advanced Analytics for Big Data – Theory and Methods
  • K-means clustering
  • Association rules
  • Linear regression
  • Logistic Regression
  • Naïve Bayesian classifiers
  • Decision trees
  • Time Series Analysis
  • Text Analytics
    Advanced Analytics for Big Data – Technology and Tools
    • MapReduce
    • Hadoop Ecosystems
    • SQL OLAP extensions, Windows functions, user defined functions, and
    • aggregates
    • MADlib
    Operationalizing an Analytics Project and Data Visualization Techniques
    • Best practices for operationalizing an analytics project
    • Best practices for planning and creating effective data visualizations

Note : This product is tested only on Windows Operating System

* Please read faq section carefully.




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