Data Science for Decision Makers: Using Analytics and Case Studies
A practical guide to data-driven leadership—designed to equip business leaders with the tools, language, and strategies of modern data science.
Course Objectives
- Understand the role of data science in modern business strategy.
- Interpret visualizations, dashboards, and data reports to make informed decisions.
- Recognize opportunities for predictive modeling and automation.
- Evaluate ethical risks and governance strategies in data use.
- Apply lessons from real-world case studies to your own organization.
Course Overview
Based on the book *Data Science for Decision Makers*, this course helps non-technical professionals understand how data science impacts business outcomes. Through real-world case studies, visual examples, and simplified technical concepts, leaders will learn to ask better questions, champion analytics projects, and build a data-informed culture. No coding required—just curiosity and a willingness to lead with evidence.
Sample Module: Visual Thinking for Data-Driven Strategy
This module focuses on how to interpret and question data visualizations, including dashboards, heatmaps, forecasts, and executive summaries. Learners will practice turning visual evidence into clear business insights.
Lesson: From KPIs to Actionable Insights
In this lesson, learners will explore how to interpret key performance indicators (KPIs) across marketing, operations, and finance. The focus is on framing the right questions and using data to support strategic action.