Data Science
EMC Education Services
E20-007 Data Science and Big Data Analytics Exam
Exam Description
Overview
This exam focuses on the practice of data analytics, the role of the Data Scientist, 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. 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.
Duration
90 Minutes (60 Questions)
Exam Topics
Topics likely to be covered on this exam include: 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 • Naïve Bayesian classifiers • Decision trees • Time Series Analysis • Text Analytics Advanced Analytics for Big Data – Technology and Tools • MapReduce •
E20-007 Data Science and Big Data Analytics Exam
Exam Description
Overview
This exam focuses on the practice of data analytics, the role of the Data Scientist, 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. 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.
Duration
90 Minutes (60 Questions)
Exam Topics
Topics likely to be covered on this exam include: 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 • Naïve Bayesian classifiers • Decision trees • Time Series Analysis • Text Analytics Advanced Analytics for Big Data – Technology and Tools • MapReduce •