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