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
- 14 days
- 10 hrs/week

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online

Campus Location

Mountain View, United States

Disciplines

Information Technology (IT) Business Intelligence Computer Sciences View 416 other Short Courses in Computer Sciences in United States

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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 Fees

Additional Details

Course is free for the first 7 days. After 7 days, the course can be accessed with the Coursera Plus Subscription

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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Product Analytics and AI Coursera

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