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
About NetAssist
Since its establishment in 1999, NetAssist has been continuously and vigorously committed to providing the highest quality of, and effective, training to IT professionals, both novice and experienced. We combine proven curriculum with practical hands-on learning and in-depth instruction to sharpen your technical skills. Our satisfied customers are our motivation and our best testimony.
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