Data Analytics for Digital Transformation
About this course
Dartmouth Engineering’s Data Analytics for Digital Transformation Specialization offers a comprehensive program to equip professionals with the tools and knowledge to drive innovation, efficiency, and strategic decision-making in today’s dynamic digital landscape. Professors Vikrant Vaze and Reed Harder lead the program and includes four specialized courses—Fundamentals of Digital Transformation, Predictive Analytics, Simulation for Digital Transformation, and Prescriptive Analytics—each focusing on a critical component of modern analytics. Each course combines theoretical foundations with hands-on experience through Python-based exercises, case studies, and real-world applications. By the end of the program, you’ll have a robust analytics toolkit and the confidence to lead data-centric initiatives that align with your organization’s digital transformation goals. Whether new to analytics or seeking to deepen your expertise, this specialization empowers you to navigate complexity, manage uncertainty, and drive innovation.
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What you'll learn
- understand the fundamentals of digital transformation
- apply predictive analytics techniques
- use prescriptive analytics to drive decisions
- create simulations for different business scenarios
- execute Python-based exercises to apply learned concepts
Course objectives
- equip students with an analytics toolkit for digital transformation
- prepare learners to manage data-centric initiatives
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