Fundamentals of Digital Transformation

Overview

This course is a prerequisite for the Data Analytics for Digital Transformation Professional Certificate and must be completed before enrolling in the core courses:

Predictive Analytics, Simulation for Digital Transformation, and Prescriptive Analytics.

Syllabus

• Introduction to Digital Transformation
Definition and Importance of Digital Transformation
Key Drivers of Digital Transformation
Trends and Case Studies
• Technologies Enabling Digital Transformation
Artificial Intelligence and Machine Learning
Cloud Computing and Edge Computing
Internet of Things (IoT)
Big Data and Analytics
• Strategy and Implementation
Developing a Digital Transformation Strategy
Organizational Change Management
Roadmap for Implementation
• Digital Transformation in Different Sectors
Manufacturing and Industry 4.0
Healthcare Innovations
Retail and E-commerce
Financial Services
• Data Role in Digital Transformation
Importance of Data Governance and Quality
Data-Driven Decision Making
Leveraging Data Analytics for Transformation
• Challenges and Risks
Cybersecurity Considerations
Cultural and Workforce Challenges
Regulatory and Ethical Issues
• Preparing for Advanced Courses
Overview of Predictive Analytics
Introduction to Simulation for Digital Transformation
Basics of Prescriptive Analytics
• Conclusion and Future Directions
Emerging Technologies Trends
The Future of Digital Transformation

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Taught by

Vikrant Vaze and Reed Harder

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Subjects

Business