Acerca de este Curso

100,112 vistas recientes
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Nivel principiante
Aprox. 14 horas para completar
Inglés (English)

Qué aprenderás

  • 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).

Habilidades que obtendrás

Software DevelopmentProduct ManagementAgile Software Development
Certificado para compartir
Obtén un certificado al finalizar
100 % en línea
Comienza de inmediato y aprende a tu propio ritmo.
Fechas límite flexibles
Restablece las fechas límite en función de tus horarios.
Nivel principiante
Aprox. 14 horas para completar
Inglés (English)

Instructor

ofrecido por

Placeholder

Universidad de Virginia

Programa - Qué aprenderás en este curso

Semana
1

Semana 1

3 horas para completar

Introduction and Customer Analytics

3 horas para completar
13 videos (Total 66 minutos), 2 lecturas, 4 cuestionarios
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 lecturas
Course Overview & Requirements10m
Getting Project Management Institute (PMI) Professional Development Units (PDUs) and Scrum Alliance SEUs10m
4 ejercicios de práctica
User Journeys and Pirate Metrics30m
User Habits and Mapping Analytics30m
Customer Analytics
Introduction and Customer Analytics30m
Semana
2

Semana 2

3 horas para completar

Demand Analytics

3 horas para completar
12 videos (Total 61 minutos)
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 ejercicios de práctica
Testing Motivations with MVPs30m
Experiments30m
Testing Features
Testing Demand and Experiment Patterns30m
Semana
3

Semana 3

5 horas para completar

UX Analytics

5 horas para completar
11 videos (Total 73 minutos)
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 ejercicios de práctica
Testing Analytics30m
User Stories & Analytics30m
A/B Testing
Qualitative and Quantitative Analytics30m
Semana
4

Semana 4

3 horas para completar

Analytics and Data Science

3 horas para completar
12 videos (Total 75 minutos)
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 ejercicios de práctica
Data Science30m
Data Executions30m
Data Science IRL
Analytics and Data Science30m

Reseñas

Principales reseñas sobre AGILE ANALYTICS

Ver todas las reseñas

Preguntas Frecuentes

¿Tienes más preguntas? Visita el Centro de Ayuda al Alumno.