The course prepares you to become a certified EMC Verified Expert Data Specialist Online (EMCDSA) and decides a highly efficient foundation that can be enhanced by further exercising and real-world activities.
This evaluation E20-007: Data Science and Big Data Statistics specializes in the work out of data analysis, the aspect of the Data Specialist, the main stages of the Data Statistics Lifecycle, evaluating and discovering information with R, analysis for style creating and assessment, the idea and methods of impressive analysis and statistical modeling, the engineering and sources that can be used for impressive analysis, functionalizing an analysis project, and knowledge development methods. Effective applicants will accomplish the EMC Verified Expert Data Science Online qualifications.
E20-007 EMC provides no cost work out tests to evaluate your knowledge in planning for the evaluation.
Practice tests allow you to become acquainted with the subjects and question types you will find on the proctored evaluation. Your results on a work out evaluate offer one sign of how prepared you are for the proctored evaluation and can emphasize subjects on which you need to study and exercise further. A going position on the work out evaluate does not assurance a going position on the credentials evaluation.
Become a Data Specialist to release the power of Big Data Analytics
The Data Science and Big Data Statistics (DSBDA) course provides a hands-on practitioners way to the methods and sources required for evaluating Big Data.
The course creates you to become a certified EMC Verified Expert Data Specialist Online (EMCDSA) and decides a highly efficient foundation that can be enhanced by further exercising and real-world activities.
The Data Science and Big Data Statistics course and credentials specializes in principles and ideas appropriate to any engineering atmosphere and industry.
The course is developed for:
Business and knowledge Experts looking to add big information analysis skills
Managers of organization intellect, analysis, or big information groups
Database Experts looking to enhance their analytic skills
College graduate students considering information science as a profession field
The course is developed to allow students to:
Become an immediate factor on a information science team
Assist reframing an organization task as an analysis challenge
Deploy an arranged lifecycle way to information analysis problems
Apply appropriate analytic methods and sources to evaluate big data
Tell a highly efficient tale with the Data to drive organization action
Use no cost sources such as R, Hadoop, and Postgres
Prepare for EMC Verified Expert Data Science Online (EMCDSA) certification
E20-007 Exam Topics
Topics likely to be protected on this evaluation include:
Big Data Statistics and the Data S
pecialist Role
You will of Big Data
The work out of analysis
The aspect and required abilitie
s of a Data Specialist
Data Statistics Lifecycle
Development
Data planning
Model planning and creating
Interacting results
Functionalizing a information analysis project
Initial Research of the Data
Using basic R orders to evaluate information
Using statistical actions and development to understand information
The idea, process, and analysis of results t
o evaluate a style
Advanced Statistics for Big Data Theory and Methods
K-means clustering
Organization guidelines
Straight line regression
Nave Bayesian classifiers
Decision plants
Time Sequence Research
Written text Statistics
Advanced Statistics for Big Data Science and Tools
MapReduce
Hadoop Environments
SQL OLAP plug-ins, Windows functions, user described functions, and aggregates
MADlib
Functionalizing an Statistics Project and Data Visualization Techniques
Best methods for functionalizing an analysis project
Best methods for planning and creating efficient information visualizations