Data Science And Big Data Analytics For Business Transformation

Course details

The content of this course is designed to support the course objectives. The following focus areas are included in this course:

Module 1: Introduction

• Overview of Data Science and Big Data analytics
• Business drivers for advanced analytics
• Stages of analytical maturity in an organization

Module 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

Module 3: Leading Analytic Projects

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

Module 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

Module 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

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