By completing this course, learners will be able to analyze business requirements, design interactive Tableau dashboards, evaluate pricing strategies, interpret price elasticity using regression models, and recommend data-driven pricing actions through descriptive, predictive, and prescriptive analytics.
Analyze and Optimize Pricing with Tableau and R
Gain insight into a topic and learn the fundamentals.
Beginner level
Recommended experience
7 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
Design interactive Tableau dashboards that translate business requirements into decision-ready pricing insights.
Analyze pricing strategies and estimate price elasticity using regression models and analytical techniques.
Deliver descriptive, predictive, and prescriptive pricing recommendations using Tableau and R-driven insights.
Details to know
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Recently updated!
February 2026
Assessments
12 assignments
Taught in English
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There are 3 modules in this course
This module introduces learners to business-driven analytics using Tableau by focusing on understanding business requirements, defining key measures, designing dashboards, and deploying analytics solutions to support informed decision-making.
What's included
6 videos4 assignments
This module builds foundational knowledge of pricing analytics by exploring pricing strategies, cost structures, elasticity concepts, and regression-based approaches to support data-driven pricing decisions.
What's included
6 videos4 assignments
This module applies descriptive, predictive, and prescriptive analytics techniques to real-world pricing datasets, enabling learners to generate insights, forecast outcomes, and recommend optimal pricing actions.
What's included
8 videos4 assignments
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