A gentle, popular entry into business analytics from Duke University on Coursera (Daniel Egger and Jana Schaich Borg). It explains the roles in a data-driven organisation, the kinds of questions data can answer, and the metrics that matter. Non-technical and accessible — a good orientation before any hands-on analytics.
Good for: A non-technical orientation to business analytics and metrics.
Less suitable if: You want hands-on data skills or technical analytics.
Skills you'll gain
Business analyticsMetricsData-driven decisionsKPIsAnalytics roles
Is this course right for you?
A good fit if you…
You want a gentle analytics orientation
You are non-technical
You want to understand metrics and roles
Consider something else if you…
You want hands-on data skills
You want technical analytics
You already work with data
Requirements: None.
Realistic time: Around 8–12 hours.
About this course
Business Metrics for Data-Driven Companies is a gentle, popular entry into business analytics. From Duke University's Daniel Egger and Jana Schaich Borg, it explains the roles in a data-driven organisation, the kinds of business questions data can answer, and how to choose and use the right metrics — illustrated with real case studies.
What you'll learn
Identify the metrics that matter for a business
Understand roles in a data-driven organisation
Frame business questions data can answer
Read and interpret business metrics
Learn from real analytics case studies
Set up for deeper analytics study
This course includes
Yes
Certificate
Yes
Mobile access
English
Language
What it costs
You can audit the course free on Coursera. A certificate needs a Coursera subscription (about $49/month) or Coursera Plus, with financial aid available.
Comparison · LBS
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A Duke University certificate on Coursera is a credible learning record. It is a course certificate rather than a professional qualification or degree.
Last updated
Instructor
DE
Daniel Egger
Coursera instructor
Daniel Egger and Jana Schaich Borg teach at Duke University, where Egger leads executive data-science education. The course reflects a practical, business-first view of analytics aimed at newcomers.