University of Virginia

About this Course

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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. In this course, developed at the Darden School of Business at the 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.
As a Project Management Institute (PMI®) Registered Education Provider, the University of Virginia Darden School of Business (Provider #2122) has been approved by PMI to issue 25 professional development units (PDUs) for this course, which focuses on core competencies recognized by PMI. (Course ID: APM156, PDU Claim Code: 2122D5DCEV)

Shareable Certificate

Earn a Certificate upon completion

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Flexible deadlines

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Beginner Level

Approx. 15 hours to complete

English

Subtitles: Arabic, French, Portuguese (European), Chinese (Simplified), Italian, Vietnamese, Korean, German, Russian, Turkish, English, Spanish

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

Subtitles: Arabic, French, Portuguese (European), Chinese (Simplified), Italian, Vietnamese, Korean, German, Russian, Turkish, English, Spanish

Instructor

Instructor rating

4.66/5 (49 Ratings)

Alex Cowan

Faculty & Batten Fellow

Darden School of Business

297,921 Learners

13 Courses

Offered by

University of Virginia

A premier institution of higher education, The University of Virginia offers outstanding academics, world-class faculty, and an inspiring, supportive environment. Founded by Thomas Jefferson in 1819, the University is guided by his vision of discovery, innovation, and development of the full potential of students from all walks of life. Through these courses, global learners have an opportunity to study with renowned scholars and thought leaders.

Syllabus - What you will learn from this course

Week

Week 1

3 hours to complete

Introduction and Customer Analytics

Without an actionable view of who your customer is and what problems/jobs/habits they have, you’re operating on a shaky foundation. This week, we’ll look at how to pair your qualitative analytics on customer hypotheses with testable analytics.

3 hours to complete

13 videos (Total 66 min), 2 readings, 4 quizzes

13 videos

Purposeful Iteration5m

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

Week 2

3 hours to complete

Demand Analytics

Why build something no one wants? It seems like an obvious question, yet a lot (probably >50%) of software ends up lightly used or not used at all. This week, we’ll look at how to run fast but definitive experiments to test demand.

3 hours to complete

12 videos (Total 61 min)

12 videos

Lean Startup and the Demand Hypothesis2m

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

Week 3

6 hours to complete

UX Analytics

Strong usability most often comes from ongoing diligence as opposed to big redesigns. Teams that do the hard work of consistently testing usability are rewarded with a consistent stream of customer wins and a culture of experimentation that makes work more enjoyable and rewarding.

6 hours to complete

11 videos (Total 73 min)

11 videos

Analytics All the Time4m

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

Week 4

3 hours to complete

Analytics and Data Science

The availability of big data and the ascendance of machine learning can supercharge the way you approach analytics. This week, we're going to learn how data science is changing analytics and how you can create a focused, productive interfaces to a data science capability.

3 hours to complete

12 videos (Total 75 min)

12 videos

What is Data Science?3m

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

Frequently Asked Questions

When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
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The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
Is financial aid available?
Yes, 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. Learn more.
Will I earn university credit for completing the Course?
This Course doesn't carry university credit, but some universities may choose to accept Course Certificates for credit. Check with your institution to learn more. Online Degrees and Mastertrack™ Certificates on Coursera provide the opportunity to earn university credit.

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