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EMC E20-065 Exam (Advanced Analytics Specialist Exam for Data Scientists) Detailed Information
E20-065 - Advanced Analytics Specialist Exam for Data Scientists
EMC Education Services
Data Scientist, Advanced Analytics Specialist Version 1.0 (EMCDS)
Proven Professional Website
Proven Professional Community
This certification is designed to build on the skills developed in the Associate level course in Data Science (Data Science & Big Data Analytics) and help aspiring Data
Scientists continue to evolve and expand their skill sets. The main growth areas include advanced analytical methods, Hadoop (and Pig, Hive, HBase), Social Network Analysis, Natural Language Processing, and Visualization methods. The development
of these skills and the use of these methods provide the data scientist the ability to identify and communicate conclusions and recommendations in order to solve business challenges across many domains.
To complete the requirements for this certification you must:
Achieve the following Associate level certification:
Pass the following Specialist exam on or after May 1, 2015:
Note: These details reflect certification requirements as of May 1, 2015.
The Proven Professional Program periodically updates certification requirements.
*Please check the Proven Professional CertTracker website regularly for the latest information and for other options to meet the Associate level requirement.
EMC Education Services
E20-065 Advanced Analytics Specialist Exam for Data Scientists
This exam is a qualifying exam for the Data Scientist, Advanced Analytics Specialist certification.
This exam focuses on MapReduce, the Hadoop Ecosystem, NoSQL, Natural Language Processing, Social Network Analysis, Data Science Theory and Methods, and Data Visualization.
Pass Score: 63
EMC provides free practice tests to assess your knowledge in preparation for the exam. Practice tests allow you to become familiar with the topics and question types you will
find on the proctored exam. Your results on a practice test offer one indication of how prepared you are for the proctored exam and can highlight topics on which you need to study and train further. A passing score on the practice test does not guarantee a passing score on the certification exam.
Topics likely to be covered on this exam include:
MapReduce framework and its implementation in Hadoop
Exam - E20-065
Hadoop Distributed File System (HDFS) Yet Another Resource Negotiator (YARN)
Hadoop Ecosystem and NoSQL (15%)
Natural Language Processing (NLP) (20%)
NLP and the four main categories of ambiguity
TextPreprocessing Language Modeling
Social Network Analysis (SNA) (23%)
SNA and Graph Theory
Network Problems and SNA Tools
Data Science Theory and Methods (15%)
Multinomial Logistic Regression and Maximum Entropy
Data Visualization (12%)
The percentages after each topic above reflects the approximate distribution of the total question set across the exam.
Advanced Methods in Data Science and Big Data Analytics
Advanced Methods in Data Science and Big Data Analytics - Video ILT
Advanced Methods in Data Science and Big Data Analytics - Online ILT
The following curriculum is recommended for candidates preparing to take this exam. Please complete one of the following courses
Note: These exam description details reflect contents as of May 1, 2015.
The Proven Professional Program periodically updates exams to reflect technical currency and relevance. Please check the Proven Professional website regularly for the latest information.
EMC2, EMC, EMC Proven, and the EMC logo are registered trademarks or trademarks of EMC Corporation in the United States and other countries. VMware is a registered trademark or trademark of VMware, Inc., in the United States and other jurisdictions. © Copyright 2015 EMC Corporation. All rights reserved. Published in the USA. 5/15 Exam Description
EMC believes the information in this document is accurate as of its publication date. The information is subject to change without notice.