Overview

This course gives business leaders the skills and knowledge to better manage such analytical efforts. It describes how to get started and what is required to effectively run projects which leverage Big Data analytics. Specifically, it addresses: deriving business value from Big Data, leading Data Science projects using a data analytics lifecycle, developing Data Science teams, and driving innovation using analytics.

Skills Covered

Upon successful completion of this course, participants should be able to:

  • Articulate the business value of Big Data and the opportunities it presents to drive growth and innovation
  • Discuss key Data Science analytic methods and identify opportunities for applying these methods
  • Lead analytics projects using a structured lifecycle approach
  • Develop Data Science teams to leverage the required skill sets and appropriate organizational models
  • Drive innovation via analytics projects by understanding how to drive organizational change

Who Should Attend

The intended audience for this course includes:

  • Leaders of functional areas wanting to enhance analytics-driven decision making
  • Business leaders looking to build a new analytics or Data Science capability
  • Leaders of Business Intelligence or Operations teams looking to raise the level of
    analytics

Course Curriculum

Prerequisites

To understand the content, derive value, and successfully complete this course, you should have:

  • Experience managing teams or leading initiatives
  • High-level understanding of quantitative methods used in business performance measures

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Course Modules

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