EMC Certification Exam for Data Science Associates
The E20-007 exam, which is the Data Science and Big Data Analytics test, is specifically designed to measure and validate the knowledge, skills and abilities of data scientists and data analysts. There are sixty questions on the exam that cover everything from data analysis and statistics to the tools and technology required for accurately collecting data and analyzing information. Data visualization methods are also covered on the E20-007 exam, as is the planning and execution of analytics projects.
Exam subject matter for the EMC E20-007, in addition to data analytic basics, includes the ability
to create statistical models and utilize advanced analytics. Candidates must be able to use data
visualization methods and evaluate the findings of statistical and data analytics projects.
The EMC E20-007 exam is a valid standalone qualification for adding to your professional credentials,
as it formally documents your data analytics skill set, but is can also be a valuable step toward the
achievement of an advanced professional certification from EMC.
Hands on experience in Data Analytics is recommended before taking the EMC E20-007 exam. EMC
offers many resources to help candidates prepare for this certification exam as well, including free
practice tests, online training, and instructor led courses. Third party exam preparation services like TestsLive.com, also offer practice exams, tutorials and other resources that can help round out a study program for the E20-007 exam. Practice exams are a key component of an exam prep regimen as they allow candidates to measure their learning progress and gauge their testing readiness prior to scheduling their E20-007 exam date.
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August 10, 2017 @ 7:27 pm
IBM estimates that 90 percent of the data in the world today has been created in the past two years.
August 13, 2017 @ 3:42 pm
When choosing a data science provider, it is essential to pay close attention to the analytic tech stack of the data experts available within the company.
September 20, 2017 @ 8:12 pm
The program brings together a trifecta faculty mentors from computer science, mathematics, and business.
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