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Testing Hypotheses with Data

Learn how to evaluate data-driven decisions with confidence. This course will teach you how to design, run, and interpret statistical hypothesis tests in real-world scenarios.

Beginner
1h 40m

Created by Warner Chaves

Last Updated Jun 26, 2026

Course Thumbnail
  • Course

Testing Hypotheses with Data

Learn how to evaluate data-driven decisions with confidence. This course will teach you how to design, run, and interpret statistical hypothesis tests in real-world scenarios.

Beginner
1h 40m

Created by Warner Chaves

Last Updated Jun 26, 2026

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What you'll learn

Organizations rely on data to make decisions, but misinterpreting statistical results can lead to costly mistakes.

In this course, Testing Hypotheses with Data, you’ll gain the ability to design, run, and interpret hypothesis tests in real-world scenarios.

First, you’ll explore the structure of hypothesis testing and learn how to evaluate whether observed differences are meaningful or due to chance.

Next, you’ll discover how to interpret p-values, significance levels, and confidence intervals, and understand how they guide decision-making.

Finally, you’ll learn how to recognize misleading results, including misleading p-values, low statistical power, and false discoveries from multiple comparisons.

When you’re finished with this course, you’ll have the skills and knowledge of statistical hypothesis testing needed to confidently evaluate experiments and make sound, data-driven decisions in business and analytics contexts.

Testing Hypotheses with Data
Beginner
1h 40m
Table of contents

About the author
Warner Chaves - Pluralsight course - Testing Hypotheses with Data
Warner Chaves
38 courses 4.6 author rating 708 ratings

Warner is a SQL Server Certified Master, MVP, and Principal Consultant at Pythian. He manages clients in many industries and leads a talented team that maintains and innovates with their data solutions. When he's not working in Ottawa, Ontario, he can be found in his home country of Costa Rica.

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