Business Metrics for Data-Driven Companies
Learn how to identify and leverage critical business metrics to drive company success through data analytics in today's digital economy.
Learn how to identify and leverage critical business metrics to drive company success through data analytics in today's digital economy.
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 Excel to MySQL: Analytic Techniques for Business 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.
4.6
(8,380 ratings)
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English
پښتو, বাংলা, اردو, 3 more
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What you'll learn
Identify critical business metrics and KPIs
Understand data roles in organizations
Evaluate company data analytics culture
Analyze web marketing metrics
Assess financial services metrics
Skills you'll gain
This course includes:
3.9 Hours PreRecorded video
3 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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There are 5 modules in this course
This course teaches students to identify and utilize critical business metrics for competitive advantage. It covers revenue, profitability, and risk metrics, distinguishing between traditional and dynamic measurements. Students learn through real-world case studies and gain insights into how digital companies use data analytics to disrupt traditional industries.
About This Specialization and Course
Module 1 · 0 Hours to complete
Introducing Business Metrics
Module 2 · 2 Hours to complete
Working in the Business Data Analytics Marketplace
Module 3 · 2 Hours to complete
Going Deeper into Business Metrics
Module 4 · 1 Hours to complete
Applying Business Metrics to a Business Case Study
Module 5 · 1 Hours to complete
Fee Structure
Instructors
Executive in Residence and Director of Quantitative Modeling at Duke University
Daniel Egger is an accomplished Executive in Residence and Director of the Center for Quantitative Modeling at Duke University, with over seventeen years of experience in creating innovative software products and services. As the founder and CEO of several venture-backed technology companies, he has a strong background in entrepreneurship and venture capital, having also served as a Managing Partner in a venture capital fund. Since 2003, Daniel has taught courses in entrepreneurship and venture capital at Duke's Master of Engineering Management Program, where he has played a key role in developing the curriculum. He was previously the Howard Johnson Foundation Entrepreneur-in-Residence in Duke’s Markets and Management Program for undergraduates. In addition to his teaching responsibilities, Daniel is committed to online education, with his data science courses on Coursera reaching over 400,000 students globally. His extensive experience and dedication to education position him as a significant contributor to the fields of engineering management and quantitative modeling.
Neuroscientist and Advocate for Ethical AI Development
Dr. Jana Schaich Borg is an Assistant Research Professor at Duke University, specializing in neuroscience and social cognition. She earned her Ph.D. in Neuroscience from Stanford University and focuses on developing innovative methods to infer network properties from high-dimensional multi-modal neural data. Her research explores critical areas such as social behavior, empathy, and moral decision-making, positioning her as a leading figure in the intersection of neuroscience and artificial intelligence. Dr. Schaich Borg is actively involved in interdisciplinary teams that leverage cutting-edge technologies to tackle complex challenges in understanding human behavior. She advocates for training programs that equip scientists to apply their research to real-world issues and educates entrepreneurs on supporting structures that foster disruptive innovation in biomedical science. Her commitment to ensuring that big data contributes positively to society drives her current projects, which include developing moral artificial intelligences and understanding the role of social synchrony in mental health. Through her work, Dr. Schaich Borg aims to bridge the gap between human values and AI development, ensuring ethical considerations are central to technological advancements.
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4.6 course rating
8,380 ratings
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