About this Course

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Beginner Level
Approx. 15 hours to complete
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. 15 hours to complete
English

Offered by

Placeholder

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) and Scrum Alliance SEUs10m
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

6 hours to complete

UX Analytics

6 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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