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Data Science Associate (EMCDSA)

Achieving EMCDSA certification confirms your ability to immediately participate and contribute as a data science team member on big data and other analytics projects by:

  • Deploying the Data Analytics Lifecycle to address big data analytics projects.
  • Reframing a business challenge as an analytics challenge.
  • Applying appropriate analytic techniques and tools to analyze big data, create statistical models, and identify insights that can lead to actionable results.
  • Selecting appropriate data visualizations to clearly communicate analytic insights to business sponsors and analytic audiences.
  • Using tools such as R and RStudio, MapReduce/Hadoop, in-database analytics, and Window and MADlib functions.
  • Understanding how advanced analytics can be used to create competitive advantage and how the data scientist role and skills differ from those of a traditional business.

Prerequisites

  • A strong quantitative background
  • Experience with a scripting language, such as Java, Perl, or Python (or R)
  • Experience with SQL

Required Exams

E20-007

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