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Data Science and Big Data Analytics for Business Transformation

Course Details

Business organizations need leaders who can use data analytics to solve business problems and lead a big data analytics team. This course teaches you the requirements for managing big data analytics projects and how to start them.

Course Prerequisites

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

Course Agenda

1. Introduction

  • Overview of data science and big data analytics
  • Business drivers for advanced analytics
  • Stages of analytical maturity in an organization

2. Deriving Business Value from Big Data

  • Business value of a data science project
  • Overview of key advanced analytic techniques and their applications
  • Big data tools and technologies

3. Leading Analytic Projects

  • Overview of data analytics lifecycle
  • Frame a business problem as an analytics problem
  • Four main deliverables in an analytics project

4. Developing Data Science Teams

  • Develop an analytic team, roles, and skill sets
  • Four approaches to develop data science capabilities
  • Three organizational models for data science teams

5. Driving Innovation via Analytic Projects

  • Cultivate characteristics of visionary thinking to apply to data science teams
  • Incorporate change management as part of implementing a data-driven approach to decision making
  • Leverage small wins to change how the organization approaches problems