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Product Analytics and AI

Learn to integrate analytics with agile product development, from customer insights to AI implementation. Perfect for product managers.

Learn to integrate analytics with agile product development, from customer insights to AI implementation. Perfect for product managers.

This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Digital Product Management Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.

4.7

(458 ratings)

31,236 already enrolled

Instructors:

English

پښتو, বাংলা, اردو, 3 more

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Product Analytics and AI

This course includes

15 Hours

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

Free course

What you'll learn

  • Learn to tie team work to actionable analytics for user value

  • Master hypothesis testing for customer personas and problems

  • Develop skills in demand testing to validate feature development

  • Implement effective UX analytics and usability testing methods

  • Understand data science applications in product development

  • Integrate AI and machine learning into product analytics

Skills you'll gain

Product Analytics
Data Science
AI Implementation
Agile Development
User Testing
Experiment Design
Product Management
UX Analytics
Customer Journey Mapping
Hypothesis Testing

This course includes:

5.5 Hours PreRecorded video

14 assignments

Access on Mobile, Tablet, Desktop

FullTime access

Shareable certificate

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Get a Completion Certificate

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Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.

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There are 4 modules in this course

This comprehensive course focuses on integrating analytics into agile product development processes. Students learn to build strong analytics infrastructure, from customer insights to data science implementation. The curriculum covers demand testing, UX analytics, and AI integration, with practical applications in experiment design and user testing. Through hands-on projects and real-world examples, participants develop skills in hypothesis-driven development, actionable analytics, and data-driven decision making.

Introduction and Customer Analytics

Module 1 · 2 Hours to complete

Demand Analytics

Module 2 · 2 Hours to complete

UX Analytics

Module 3 · 5 Hours to complete

Data Science and AI

Module 4 · 3 Hours to complete

Fee Structure

Instructor

Alex Cowan
Alex Cowan

4.8 rating

700 Reviews

4,85,049 Students

25 Courses

Digital Innovation Expert and Entrepreneur at UVA Darden

Before joining the faculty at UVA Darden, Alex was an entrepreneur who successfully started and sold two companies. At Darden, he specializes in digital innovation and advises corporations while investing in digital ventures. His widely adopted Venture Design framework helps practitioners and educators create new products in agile, hypothesis-driven environments.

Product Analytics and AI

This course includes

15 Hours

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

Free course

Testimonials

Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.

4.7 course rating

458 ratings

Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.