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Why Data Analytics Matters

In today’s business environment, data is no longer just an operational byproduct; it is a critical resource for shaping competitive advantage, innovation, and...

By Geoffrey Parker on Coursera

About This Course

In today’s business environment, data is no longer just an operational byproduct; it is a critical resource for shaping competitive advantage, innovation, and resilience. As organizations continue their digital transformation journeys, managers are increasingly expected to understand not only what data is available, but how it creates value, informs strategy, and accelerates decision-making. This course is designed to equip managers with the essential frameworks, case studies, and applied activities that demonstrate how analytics, artificial intelligence, and large language models are being integrated into modern organizations. Through interactive labs, reflective exercises, and real-world case studies, you will explore how firms capture value from data, navigate new opportunities in generative AI, and adapt to shifting global business environments. By the end of this course, you will be able to evaluate the role of analytics in your organization, identify opportunities for data-driven innovation, and develop actionable strategies for managing the risks and trade-offs inherent in a digital economy.

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Frequently Asked Questions

How much does Why Data Analytics Matters cost?

Visit the Why Data Analytics Matters course page for current pricing and available discounts.

Who teaches Why Data Analytics Matters?

Why Data Analytics Matters is taught by Geoffrey Parker, Dartmouth College.

What skill level is Why Data Analytics Matters for?

This course is designed for all levels learners.

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Students0
Duration5 hours
LevelAll Levels
Languageen
PlatformCoursera