4.7
stars
418 ratings

Alex Cowan

24,601 already enrolled

Offered By

University of Virginia

About this Course

32,938 recent views

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.

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Shareable Certificate

Earn a Certificate upon completion

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Coursera Labs

Includes hands on learning projects.

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Beginner Level

Approx. 14 hours to complete

English

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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 Development
Product Management
Agile Software Development

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Coursera Labs

Includes hands on learning projects.

Learn more about Coursera Labs

Beginner Level

Approx. 14 hours to complete

English

Could your company benefit from training employees on in-demand skills?

Try Coursera for Business

Instructor

Instructor rating

4.78/5 (110 Ratings)

Alex Cowan

Faculty & Batten Fellow

Darden School of Business

425,181 Learners

20 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.

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Syllabus - What you will learn from this course

Content Rating92%(1,123 ratings)

Week1

Week 1

3 hours to complete

Introduction and Customer Analytics

3 hours to complete

13 videos (Total 66 min), 1 reading, 4 quizzes

13 videos

Purposeful Iteration5mReview: Hypothesis-Driven Development3mAgile Analytics at HVAC in a Hurry2mJobs To Be Done at HVAC in a Hurry5mGetting Outside the Building With Ivan7mFocal Point: The User Journey6mIntroducing Enable Quiz1mOutlining the User Journey7mOutlining with Pirate Metrics3mDesigning User Habits: The Hook Framework4mMapping Analytics: Trent the Technician10mMapping Analytics: Ivan the Inside Salesperson6mYour Analytics Portfolio2m

1 reading

Course Overview & Requirements10m

4 practice exercises

Week 1 Practice Quiz15mUser Habits and Mapping Analytics30mCustomer AnalyticsIntroduction and Customer Analytics30m

Week2

Week 2

3 hours to complete

Demand Analytics

3 hours to complete

12 videos (Total 61 min)

12 videos

Lean Startup and the Demand Hypothesis2mTesting Motivation with MVPs3mDesigning Experiments4mExperiment Design with MVPs4mFive Experiment Charters2mThe Fake Feature Test4mTesting Features: Running the Experiment3mTesting Funnels6mTesting Cohorts7mExperiment Design: Testing a Coding Course for Designers & Managers4mExperiment Execution: Testing a Coding Course for Designers & Managers5mInterview: Laura Klein on Practice of Lean UX10m

4 practice exercises

Testing Motivations with MVPs30mExperiments30mTesting FeaturesTesting Demand and Experiment Patterns30m

Week3

Week 3

6 hours to complete

UX Analytics

6 hours to complete

11 videos (Total 73 min)

11 videos

Analytics All the Time4mQualitative Usability Testing9mThe Test You Already Have2mPairing Your User Stories with Analytics: Trent the Technician7mPairing Your User Stories with Analytics: Ivan the Inside Salesperson10mAnalyzing Dependent Variables with Google Analytics4mGoogle Analytics: The Littlest Overview10mFrom Design to Code: Trent the Technician4mFrom Code to Analytics: Trent the Technician4mA/B Testing7mDesigning, Coding, and Testing: Ivan the Inside Salesperson6m

4 practice exercises

Testing Analytics30mUser Stories & Analytics30mA/B TestingQualitative and Quantitative Analytics30m

Week4

Week 4

3 hours to complete

Analytics and Data Science

3 hours to complete

12 videos (Total 75 min)

12 videos

What is Data Science?3mFacilitating Collaboration with Your Data Science Team4mInterview: Drew Conway on Data Science8mInterview: Drew Conway’s Data Science Journey9mFour Types of Data Executions1mInterview: Casey Lichtendahl: Data Science and You6mInterview: Casey Lichtendahl: Closer Look at the Work of Data Science10mInterview: Casey Lichtendahl: Data at Rest vs. Data in Motion6mData Science IRL: Intro to the Casino Jack Case8mData Science IRL: Data Wrangling and Exploratory Analysis9mData Science IRL: Testing Hypotheses and Designing Interventions5mCourse Close1m

4 practice exercises

Data Science30mData Executions30mData Science IRLAnalytics and Data Science30m

Reviews

4.7

102 reviews

5 stars
81.66%
4 stars
12.38%
3 stars
4.28%
2 stars
1.19%
1 star
0.47%

TOP REVIEWS FROM AGILE ANALYTICS

by CWNov 19, 2020

This was a really good course for demonstrating how you can apply analytics, not just a run through of the theory. Really good.

by WRFeb 14, 2021

I didn't get as much out of this as the other courses, but I already work with a lot of analytics so the material wasn't really new to me. The interviews with industry professionals were good.

by DGMay 12, 2021

I was a bit sceptical at the beginning, but the course proved me wrong. Excellent introduction to data science and its basic concepts, and fits perfectly to the rest of specialization.

by IMJun 8, 2020

Very enjoyable. The examples were very clear and the interviews very educational. Probably the best course so far in this specialization.

View all reviews

Frequently Asked Questions

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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. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

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Agile Analytics

About this Course

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