Data Science and Big Data Analytics for Business Transformation

$1,000.00


  • Classroom

  • Onsite
Duration: 1 Day

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.

What You Will Learn

 

  • The business value of big data and opportunities to drive growth and innovation
  • Apply data science analytic methods and identify opportunities for applying these methods
  • Employ a structured lifecycle approach to lead analytics projects
  • Leverage the skill sets and appropriate organizational models required to develop data science teams
  • Use analytics projects to drive innovation by understanding how to affect organizational change

Audience

 

  • Business leaders wanting to enhance analytics-driven decision making
  • Managers looking to build a new analytics or data-science capability
  • Leaders of business-intelligence or operations teams looking to raise the level of analytics

Prerequistes

 

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

Course Outline

 

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

Course Labs