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Analyze, Engineer, and Boost AI ROI

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Coursera

Analyze, Engineer, and Boost AI ROI

Included with Coursera Plus

Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

3 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

3 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Interpret EDA patterns and apply statistical tests like chi-square to identify feature engineering opportunities across demographic segments.

  • Evaluate model outcomes through A/B testing and summarize performance shifts as clear, stakeholder-ready business impact insights.

Details to know

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Recently updated!

March 2026

Assessments

4 assignments¹

AI Graded see disclaimer
Taught in English

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Build your subject-matter expertise

This course is part of the Blueprint to Bytecode: Architecting Scalable AI Systems Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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  • Gain a foundational understanding of a subject or tool
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There is 1 module in this course

Analyze, Engineer, and Boost AI ROI is an intermediate course designed to help learners turn exploratory analysis and model performance results into decisions that increase business impact. You’ll begin by learning how to interpret Exploratory Data Analysis (EDA) patterns, compare demographic segments, and identify opportunities for feature engineering using statistical tests like chi-square. Then, you’ll explore how to evaluate model outcomes through A/B testing, connecting performance shifts to real ROI. Through hands-on practice, reflective coaching, and a guided Coursera Lab, you’ll learn to diagnose patterns, engineer meaningful features, analyze experiment results, and summarize model impact in clear business terms. By the end of the course, you’ll be prepared to influence product and data science decisions with analytical rigor and stakeholder-ready insights.

What's included

6 videos4 readings4 assignments1 ungraded lab

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Instructor

ansrsource instructors
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189 Courses7,373 learners

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Frequently asked questions

¹ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.