Digital Transformation with Data Analytics Projects

External: Coursera Courses ↗ · Coursera

Open Course on External: Coursera

Free to audit · Opens on External: Coursera

Digital Transformation with Data Analytics Projects

Coursera · Intermediate ·📊 Data Analytics & Business Intelligence ·3mo ago

Key Takeaways

Applies data analytics to digital transformation projects using the Disciplined Agile Delivery framework

Original Description

Lead your organization’s digital transformation with confidence. In a world flooded with new technologies—AI, data analytics, and automation—this course helps you focus on what really matters: turning digital strategy into business results. You’ll learn how to use the Disciplined Agile Delivery (DAD) framework to design, plan, and manage digital transformation projects that create long-term competitive advantage. Through three in-depth case studies—a start-up, an established organization, and a company in crisis—you’ll see how agile methods and data analytics come together to drive meaningful change. By the end of this course, you will be able to: Apply the Disciplined Agile Delivery framework to manage data analytics and transformation projects. Build a digital organization from the ground up using lean startup methods. Transform established business processes while maintaining cultural strengths. Use data analytics to rescue and revitalize struggling organizations. Turn digital potential into powerful business performance—and elevate your leadership in the process.
Watch on External: Coursera ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related Reads

📰
Data structures your CS degree kind of glossed over
Learn essential data structures often overlooked in CS degrees, crucial for building efficient software systems like git-lrc
Dev.to · Athreya aka Maneshwar
📰
Raincloud Plots with PtitPrince: See What Your Data Is Really Doing
Learn to visualize data distributions with Raincloud Plots using PtitPrince in Python, enhancing data understanding
Medium · Python
📰
Confused Between Data Science, Data Analytics, Cloud Computing, DevOps, Data Engineering, and Generative AI? Here's How to Choose the Right Career
Learn how to choose the right career between Data Science, Data Analytics, Cloud Computing, DevOps, Data Engineering, and Generative AI based on your background, interests, and goals
Dev.to AI
📰
Data Science with AI — Join IDSA Janakpuri Today
Unlock your career potential in data science with AI by joining IDSA Janakpuri's course
Medium · Data Science
Up next
How AI, MCP & Tableau Extensions Are Transforming Analytics
Salesforce Product Center
Watch →