Highlights
Tuition fee
Free
Free
Unknown
Tuition fee
Free
Free
Unknown
Duration
1 days
Duration
1 days
Apply date
Anytime
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Apply date
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Start date
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Start date
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About

In this Product Analytics and AI course offered by Coursera in partnership with University of Virginia, you'll learn how to build a strong analytics infrastructure for your team, integrating it with the core of your drive to value.

Visit programme website for more information

Overview

Few capabilities focus agile like a strong analytics program. Such a program determines where a team should focus from one agile iteration (sprint) to the next. Successful analytics are rarely hard to understand and are often startling in their clarity. 

This Product Analytics and AI course offered by Coursera in partnership with University of Virginia is part of multiple programmes.

What you'll learn

  • How to naturally, habitually tie your team’s work to actionable analytics that help you drive to user value.
  • How to pair your hypotheses on customer personas and problem with analytics.
  • How to test propositions (a la Lean Startup) so you don’t build features no one wants.
  • How to instrument actionable observation into everything you build (a la Lean UX).

Skills you'll gain

  • Data Analysis
  • Design and Product
  • Leadership and Management
  • Business Analysis
  • Project Management
  • Research and Design

Programme Structure

Courses include:

  • Customer Analytics
  • Demand Analytics
  • UX Analytics
  • Data Science and AI

Key information

Duration

  • Part-time
    • 1 days

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online

Campus Location

  • Mountain View, United States

What students do after studying

Join for free or log in to access our complete career info list.

Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

  • Beginner level
  • No prior experience required

Tuition Fee

To always see correct tuition fees
  • International

    Free
    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 1 days.
  • National

    Free
    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 1 days.
  • Coursera Plus: Subscribe to build job-ready skills from world-class institutions.
  • $59/month, cancel anytime or $399/year with 14-day money-back guarantee

Funding

Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.

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