Data Analytics for Digital Transformation

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Course Overview

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.

Course FAQs

What are the prerequisites for 'Data Analytics for Digital Transformation'?

Prerequisites for this continuing education class are set by Dartmouth College. Most professional development online classes benefit from some prior knowledge. Please check the provider's page for specific requirements.

Will I receive a certificate for this CE class?

Yes, upon successful completion, Dartmouth College typically offers a shareable certificate to showcase your new skills and fulfill your continuing education requirements.

How long does this online course take to complete?

Completion times for online continuing education courses vary. The provider's website will have the most accurate estimate of the time commitment needed.