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Make agile, data-driven decisions with confidence. Use dashboards and data insights for agile decisions.
Instructor: Duke Corporate Education
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(6 reviews)
Recommended experience
Intermediate level
This course is for professionals in strategic roles seeking to enhance data-informed decision-making, with or without prior data analysis experience
(6 reviews)
Recommended experience
Intermediate level
This course is for professionals in strategic roles seeking to enhance data-informed decision-making, with or without prior data analysis experience
Design agile dashboards to monitor key performance indicators, assess business health, and support data-driven, real-time decision-making.
Apply data science techniques to uncover actionable insights, forecast trends, and make informed business decisions in dynamic environments.
Use structured decision-making frameworks to improve speed, accuracy, and confidence in complex and uncertain business scenarios.
Balance agility and risk in decision-making to foster a responsive, data-informed organizational culture capable of adapting to change.
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November 2024
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This course series enables professionals to leverage data for fast, informed decision-making in complex environments. It’s designed for managers, team leaders, and decision-makers who seek to leverage data effectively in their roles without needing specific technical tools or platforms.
You will develop the skills to design agile dashboards, interpret data for actionable insights, and apply decision-making frameworks, all with a focus on strategic principles. With hands-on projects and case studies, you will explore how to use data-driven strategies to monitor key performance indicators, anticipate trends, and optimize business performance in complex environments.
By completing this Specialization, you will be prepared to drive agile responses to market changes and operational challenges, equipped with adaptable skills that are independent of specific tools or technologies. Prior experience in strategic decision-making is helpful, but not necessary.
Applied Learning Project
In this Specialization, you will engage in projects focused on the strategic principles of agile dashboards, data analysis, and decision-making frameworks. You will learn to design dashboards that track essential metrics, analyze data for meaningful insights, and apply structured frameworks to make informed, agile decisions. Each project simulates real-world scenarios, helping you practice adaptable strategies to anticipate market changes, refine business performance, and respond effectively in dynamic environments.
Incorporate speed, interactivity, and pivot metrics into performance tracking.
Assess how fast your business moves to stay competitive in dynamic markets.
Monitor how well your organization anticipates customer needs and adapts to new opportunities.
Identify how data science is transforming leadership decisions in a data-rich world.
Develop the skills to turn vast amounts of data into valuable insights for better decision-making.
Explore how decision-making evolves with AI and data in unpredictable environments.
Balance risk and speed in decision-making within a fast-paced environment.
Explore strategies to make decisions with incomplete information and under greater uncertainty.
Create a culture and mindset that enables faster, more agile decision-making.
Duke University has about 13,000 undergraduate and graduate students and a world-class faculty helping to expand the frontiers of knowledge. The university has a strong commitment to applying knowledge in service to society, both near its North Carolina campus and around the world.
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The Specialization includes 3 courses with 1-2 modules each, taking approximately 1-3 hours per module. On average, learners can complete the entire series in 1 month at a recommended pace.
This course series is suitable for managers, team leaders, and professionals in strategic roles who seek to enhance data-informed decision-making skills. Prior knowledge of data analysis or dashboards is helpful, but not required.
Yes, the courses are designed be taken in sequential order to complete the Specialization.
University credit will not be offered for completing the Specialization.
Upon completing the Specialization, learners will have developed skills to make agile, data-informed decisions, leveraging dashboards, data science techniques, and decision frameworks.
This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate, or you can audit it to view the course materials for free. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. If you only want to read and view the course content, you can audit the course for free. If you cannot afford the fee, you can apply for financial aid.
Financial aid available,