Course
Data-Driven Decision Making for Business
BasicSkill Level
Updated 11/2024
TheoryLeadership2 hr14 videos46 Exercises2,600 XP29,096Statement of Accomplishment
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Explore the Basics of Data Literacy
Data literacy is an essential skill for every role within an organization—not just data scientists and analysts. As companies collect more data than ever before, it’s critical that everyone can read and analyze that data efficiently.Apply Data-driven Decision-making
In this course, you'll learn the basics of data-driven decision-making and get to apply these skills to three real-life examples from the world of finance, marketing, and operations. You’ll also discover how to uncover new insights and opportunities by applying supply and demand, cost and benefit, and risk and rewards frameworks—gaining practical skills to help you thrive in the new data-driven world.Prerequisites
Machine Learning for Business1
Data-Driven Decision-Making Framework
In this chapter, you’ll get familiar with the data-driven decision framework. You’ll learn more about different types of data analysis and their objectives. By the end, you’ll be able to see where each decision fits within the framework.
2
Applying Data to Inform Marketing
Let’s apply the data-driven decision in a marketing context. You'll use data to optimize ad spend, identify arbitrage opportunities for website traffic, and even how to forecast new product launches with limited but relevant data.
3
Spotting Finance Opportunities With Data
Learning how to use data to inform decisions in finance can be satisfying and profitable. In this chapter, you'll review investment opportunities using data in consumer credit, real estate, and even in a non-traditional market of collectibles.
4
Data-Driven Business Operations
In the final chapter, you'll apply data to create a total addressable market calculation for a startup, learn about supply and demand curves used for staffing, and how to spot customer-driven areas for improvement. This will provide you with practical experience of how to identify optimization opportunities and support existing business operations.
Data-Driven Decision Making for Business
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FAQs
Is this course only for data scientists and analysts?
No. It is designed for professionals in any role who want to make better decisions using data. The content applies to marketing, finance, and operations contexts with accessible, non-technical language.
What decision-making frameworks does the course teach?
You will learn to apply supply and demand, cost and benefit, and risk and reward frameworks to evaluate business opportunities and make data-informed decisions.
What real-world business scenarios are covered?
You will optimize ad spend, identify arbitrage opportunities for website traffic, review real estate and collectibles investments, and build a total addressable market calculation for a startup.
Does this course require prior knowledge of machine learning?
Yes. Machine Learning for Business is listed as a prerequisite, so you should understand basic ML concepts before enrolling in this course.
How is the course structured across its four chapters?
It starts with a general decision framework, then applies it sequentially to marketing, finance, and operations scenarios, each with data-driven exercises and practical examples.
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