University of Virginia - Agile Analytics
5.0 /5- Offered byCoursera
Agile Analytics at Coursera Overview
Duration | 15 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Beginner |
Official Website | Explore Free Course  |
Credential | Certificate |
Agile Analytics at Coursera Highlights
- This Course Plus the Full Specialization.
- Shareable Certificates.
- Graded Programming Assignments.
Agile Analytics at Coursera Course details
- 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)
Agile Analytics at Coursera Curriculum
Introduction and Customer Analytics
Purposeful Iteration
Review: Hypothesis-Driven Development
Agile Analytics at HVAC in a Hurry
Jobs To Be Done at HVAC in a Hurry
Getting Outside the Building With Ivan
Focal Point: The User Journey
Introducing Enable Quiz
Outlining the User Journey
Outlining with Pirate Metrics
Designing User Habits: The Hook Framework
Mapping Analytics: Trent the Technician
Mapping Analytics: Ivan the Inside Salesperson
Your Analytics Portfolio
Course Overview & Requirements
Getting Project Management Institute (PMI) Professional Development Units (PDUs) and Scrum Alliance SEUs
User Journeys and Pirate Metrics
User Habits and Mapping Analytics
Customer Analytics
Introduction and Customer Analytics
Demand Analytics
Lean Startup and the Demand Hypothesis
Testing Motivation with MVPs
Designing Experiments
Experiment Design with MVPs
Five Experiment Charters
The Fake Feature Test
Testing Features: Running the Experiment
Testing Funnels
Testing Cohorts
Experiment Design: Testing a Coding Course for Designers & Managers
Experiment Execution: Testing a Coding Course for Designers & Managers
Interview: Laura Klein on Practice of Lean UX
Testing Motivations with MVPs
Experiments
Testing Features
Testing Demand and Experiment Patterns
UX Analytics
Analytics All the Time
Qualitative Usability Testing
The Test You Already Have
Pairing Your User Stories with Analytics: Trent the Technician
Pairing Your User Stories with Analytics: Ivan the Inside Salesperson
Analyzing Dependent Variables with Google Analytics
Google Analytics: The Littlest Overview
From Design to Code: Trent the Technician
From Code to Analytics: Trent the Technician
A/B Testing
Designing, Coding, and Testing: Ivan the Inside Salesperson
Testing Analytics
User Stories & Analytics
A/B Testing
Qualitative and Quantitative Analytics
Analytics and Data Science
What is Data Science?
Facilitating Collaboration with Your Data Science Team
Interview: Drew Conway on Data Science
Interview: Drew Conway?s Data Science Journey
Four Types of Data Executions
Interview: Casey Lichtendahl: Data Science and You
Interview: Casey Lichtendahl: Closer Look at X, Y, Z
Interview: Casey Lichtendahl: Data at Rest vs. Data in Motion
Data Science IRL: Intro to the Casino Jack Case
Data Science IRL: Data Wrangling and Exploratory Analysis
Data Science IRL: Testing Hypotheses and Designing Interventions
Course Close
Data Science
Data Executions
Data Science IRL
Analytics and Data Science
Agile Analytics at Coursera Admission Process
Important Dates
Other courses offered by Coursera
Agile Analytics at Coursera Students Ratings & Reviews
1 Rating- 4-51
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