About this Course

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Flexible deadlines
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Beginner Level
Approx. 14 hours to complete
English
Subtitles: English

What you will 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 will gain

Software DevelopmentProduct ManagementAgile Software Development
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Beginner Level
Approx. 14 hours to complete
English
Subtitles: English

Offered by

University of Virginia logo

University of Virginia

Syllabus - What you will learn from this course

Week
1

Week 1

3 hours to complete

Introduction and Customer Analytics

3 hours to complete
13 videos (Total 66 min), 2 readings, 4 quizzes
13 videos
Review: Hypothesis-Driven Development3m
Agile Analytics at HVAC in a Hurry2m
Jobs To Be Done at HVAC in a Hurry5m
Getting Outside the Building With Ivan7m
Focal Point: The User Journey6m
Introducing Enable Quiz1m
Outlining the User Journey7m
Outlining with Pirate Metrics3m
Designing User Habits: The Hook Framework4m
Mapping Analytics: Trent the Technician10m
Mapping Analytics: Ivan the Inside Salesperson6m
Your Analytics Portfolio2m
2 readings
Course Overview & Requirements10m
Getting Project Management Institute (PMI) Professional Development Units (PDUs)10m
4 practice exercises
User Journeys and Pirate Metrics30m
User Habits and Mapping Analytics30m
Customer Analytics
Introduction and Customer Analytics30m
Week
2

Week 2

3 hours to complete

Demand Analytics

3 hours to complete
12 videos (Total 61 min)
12 videos
Testing Motivation with MVPs3m
Designing Experiments4m
Experiment Design with MVPs4m
Five Experiment Charters2m
The Fake Feature Test4m
Testing Features: Running the Experiment3m
Testing Funnels6m
Testing Cohorts7m
Experiment Design: Testing a Coding Course for Designers & Managers4m
Experiment Execution: Testing a Coding Course for Designers & Managers5m
Interview: Laura Klein on Practice of Lean UX10m
4 practice exercises
Testing Motivations with MVPs30m
Experiments30m
Testing Features
Testing Demand and Experiment Patterns30m
Week
3

Week 3

5 hours to complete

UX Analytics

5 hours to complete
11 videos (Total 73 min)
11 videos
Qualitative Usability Testing9m
The Test You Already Have2m
Pairing Your User Stories with Analytics: Trent the Technician7m
Pairing Your User Stories with Analytics: Ivan the Inside Salesperson10m
Analyzing Dependent Variables with Google Analytics4m
Google Analytics: The Littlest Overview10m
From Design to Code: Trent the Technician4m
From Code to Analytics: Trent the Technician4m
A/B Testing7m
Designing, Coding, and Testing: Ivan the Inside Salesperson6m
4 practice exercises
Testing Analytics30m
User Stories & Analytics30m
A/B Testing
Qualitative and Quantitative Analytics30m
Week
4

Week 4

3 hours to complete

Analytics and Data Science

3 hours to complete
12 videos (Total 75 min)
12 videos
Facilitating Collaboration with Your Data Science Team4m
Interview: Drew Conway on Data Science8m
Interview: Drew Conway’s Data Science Journey9m
Four Types of Data Executions1m
Interview: Casey Lichtendahl: Data Science and You6m
Interview: Casey Lichtendahl: Closer Look at X, Y, Z10m
Interview: Casey Lichtendahl: Data at Rest vs. Data in Motion6m
Data Science IRL: Intro to the Casino Jack Case8m
Data Science IRL: Data Wrangling and Exploratory Analysis9m
Data Science IRL: Testing Hypotheses and Designing Interventions5m
Course Close1m
4 practice exercises
Data Science30m
Data Executions30m
Data Science IRL
Analytics and Data Science30m

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