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
What You'll Learn
- Enhance data analytics skills for digital transformation
- Apply predictive and prescriptive analytics techniques
- Use Python for practical exercises and problem solving
- Lead data-driven initiatives for innovation and strategy
Prerequisites
- Basic familiarity with analytic terminology
- Willingness to engage in applied exercises
Instructors
Vikrant S. Vaze
Associate Professor
Reed H. Harder
Course Facilitator