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Introduction to big data and the Data Analytics Lifecycle to address business challenges that leverage big data.
  • Provides grounding in basic and advanced analytic methods and an introduction to big data analytics technology and tools, including MapReduce and Hadoop.
  • Our extensive labs provide many opportunities for students to apply these methods and tools in the real-world business challenges as a practicing Data Scientist Associate
  • The course takes an “Open”, or technology neutral approach, and includes a final lab in which students address a big data analytics challenge by applying the concepts taught in the course in the
    context of the Data Analytics Lifecycle.
  • Prepares the student for the Proven™ Professional Data Scientist Associate (EMCDSA) certification exam, and establishes a baseline of Data Science skills that can be enhanced with additional training and further real-world experience.


This 5- day course provides practical foundation level training that enables immediate and effective participation in big data and other analytics projects.


Click on our quick program information below to find out more:


  • Business and data analysts looking to add big data analytics skills
  • Managers of business intelligence, analytics, or big data groups
  • Database professionals looking to enrich their analytic skills
  • College graduates considering data science as a career field


  • Become an immediate contributor on a data science team
  • Assist reframing a business challenge as an analytics challenge
  • Deploy a structured lifecycle approach to data analytics problems
  • Apply appropriate analytic techniques and tools to analyze big data
  • Tell a compelling story with the data to drive business action
  • Use open source tools such as R, Hadoop, and Postgres
  • Prepare for EMC ProvenTM Professional Data Scientist certification


  • Program workbook, assessments and handouts





Training Dates are available here.

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