Making Evidence-Based Strategic Decisions
Master data-driven decision making for digital transformation using AI, analytics, and low-code tools.
Master data-driven decision making for digital transformation using AI, analytics, and low-code tools.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Transforming Your Company's Data Analytics Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
Instructors:
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What you'll learn
Transform organizations using data-driven strategies
Implement low-code/no-code analytics solutions
Leverage AI and machine learning for business decisions
Build effective data infrastructure
Develop evidence-based decision making processes
Skills you'll gain
This course includes:
2.8 Hours PreRecorded video
26 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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Top companies offer this course to their employees
Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
There are 5 modules in this course
This comprehensive course focuses on transforming organizations through data-driven decision making. Students learn to treat their companies as decision factories, leveraging data analytics, AI, and low-code tools for strategic advantage. The curriculum covers essential aspects of modern business intelligence, including data quality assessment, artificial intelligence applications, and robotic process automation. Through practical exercises and real-world cases, participants develop skills in building data-enabled decision-making processes.
Decision Factories
Module 1 · 2 Hours to complete
Data-Enabled Decision Making
Module 2 · 1 Hours to complete
Low-Code/No-Code Tools for Data Analytics Products
Module 3 · 1 Hours to complete
Artificial Intelligence in Data Analytics
Module 4 · 2 Hours to complete
Final Exam
Module 5 · 1 Hours to complete
Fee Structure
Instructor
Instructor
William A. Brantley is an accomplished instructor at the University of Maryland, College Park, specializing in project management and communication. With an MBA in Project Management and a Ph.D. in Public Policy and Management, Dr. Brantley has over a decade of teaching experience, focusing on courses such as "Designing Project Information Hubs for Performance," "Effective Communication for Project Stakeholders and Teams," and "Managing Conflicts with Cultural and Emotional Intelligence." His expertise extends to digital transformation and data analytics projects, making him a valuable resource for students looking to enhance their skills in these critical areas.In addition to his academic role, Dr. Brantley serves as a training administrator for the U.S. Patent and Trademark Office, where he manages various IT and training projects. He is a certified Project Management Professional (PMP) and has created several award-winning Massive Open Online Courses (MOOCs) that have attracted thousands of international students. His commitment to innovative teaching methods and effective communication strategies positions him as a leader in the field of project management education, dedicated to preparing students for success in complex organizational environments.
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Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.