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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 82 other Short Courses in Business Intelligence in United StatesWhat students do after studying
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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
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
-
International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
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Domestic
Applies to youIn-StateFree
Additional Details
- This short course is included with 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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