Overview

Google, IBM & Meta Certificates — All 10,000+ Courses at 40% Off

One annual plan covers every course and certificate on Coursera. 40% off for a limited time.

This program equips leaders with the strategic frameworks needed to leverage data analytics and AI for value creation and informed decision-making. Throughout the courses, you will learn how to guide teams in the responsible adoption of analytics, design metrics that drive desired behaviors, and confidently pitch vital infrastructure investments to executive stakeholders. Ultimately, you will emerge with the skills to develop comprehensive, scalable response plans that integrate data, AI, and organizational design to lead lasting transformation.

Syllabus

Course 1: Fundamentals of Digital Transformation
Course 2: Why Data Analytics Matters
Course 3: Organizing for Digital Transformation

Courses

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The Fundamentals of Digital Transformation course introduces the technologies, strategies, and business models driving digital innovation. Participants will explore key concepts such as cloud computing, artificial intelligence (AI), the Internet of Things (IoT), automation, and data-driven decision-making, learning how these tools reshape industries and enhance customer experiences. Through case studies, interactive activities, and role-play exercises, students will analyze real-world examples of digital transformation in companies like Microsoft, Starbucks, JPMorgan Chase, and Dell. The course also examines ethical considerations, privacy concerns, and organizational challenges, helping participants develop strategies for implementing digital solutions while addressing leadership resistance and compliance requirements. By the end of this course, learners will gain a practical understanding of digital transformation frameworks, enabling them to drive innovation, optimize operations, and remain competitive in an increasingly digital economy.
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Digital transformation is not just about technology: it is about people, processes, and structures that allow organizations to adapt and thrive in a rapidly changing world. Even with strong data and advanced analytics, many firms struggle to capture real value because they are not organized to make the most of their investments. In this course, you’ll explore the organizational side of digital transformation: how to align teams, metrics, and governance with technology adoption. You’ll see why transformation efforts often fall short, study real-world examples from leading firms, and practice making the case for infrastructure and AI investments to executive stakeholders. This course builds on the fundamentals of digital transformation and the manager’s role in data analytics by moving into the organizational capabilities required for success. You will reflect on your own organizational context, analyze global case studies, and produce actionable plans for structuring digital transformation in practice.
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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.