Acerca de este Curso

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Certificado para compartir
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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 intermedio
Aprox. 20 horas para completar
Inglés (English)
Subtítulos: Inglés (English)

Habilidades que obtendrás

Data AnalysisAnalyticsMarketingMarketing Analytics
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 intermedio
Aprox. 20 horas para completar
Inglés (English)
Subtítulos: Inglés (English)

Instructor

ofrecido por

Logotipo de Universidad de Illinois en Urbana-Champaign

Universidad de Illinois en Urbana-Champaign

Comienza a trabajar para obtener tu maestría

Este curso es parte del Master of Science in Accountancy (iMSA) completamente en línea de Universidad de Illinois en Urbana-Champaign. Si eres aceptado en el programa completo, tus cursos cuentan para tu título.

Programa - Qué aprenderás en este curso

Semana
1

Semana 1

8 horas para completar

Course Introduction

8 horas para completar
20 videos (Total 132 minutos), 6 lecturas, 5 cuestionarios
20 videos
Interview with Monica Penagos – MOOC intro8m
Tour of R and RStudio5m
Projects3m
Math Function4m
Scalar Variables6m
Column Vectors9m
Data Frame6m
Data Frame Import2m
Help and Cheat Sheets2m
Interview with Monica Penagos – Intro to Customer Satisfaction1m
Lesson 1-1.1 Introduction to Marketing Analytics and Customer Satisfaction5m
Lesson 1-1.2 Marketing Analtyics – A Brief History12m
Lesson 1-2 Customer Satisfaction12m
Lesson 1-3.1 Measurements and Scaling Techniques – Introduction3m
Lesson 1-3.2 Measurements and Scaling Techniques – Primary Scales of Measurement11m
Lesson 1-3.3 Measurements and Scaling Techniques – Comparative Scaling8m
Lesson 1-3.4 Measurements and Scaling Techniques – Non-Comparative Scaling9m
Lesson 1-4.1 Experiment Design: Key Concepts9m
Lesson 1-4.2 Experiment Design: Controlling for Experimental Errors8m
6 lecturas
Syllabus30m
About the Discussion Forums10m
Glossary10m
Update Your Profile10m
Module 1 Overview20m
Module 1 Readings1h 30m
5 ejercicios de práctica
Orientation Quiz30m
Lesson 1-1 Practice Quiz30m
Lesson 1-2 Practice Quiz30m
Lesson 1-3 Practice Quiz30m
Module 1 Graded Quiz30m
Semana
2

Semana 2

4 horas para completar

Module 2

4 horas para completar
8 videos (Total 78 minutos), 2 lecturas, 4 cuestionarios
8 videos
Lesson 2-1.1 A/B Testing: Introduction11m
Lecture 2-1.2 A/B Testing: Types of Tests7m
Lesson 2-1.3 A/B Testing: R Example10m
Lesson 2-2.1 ANOVA – Introduction14m
Lesson 2-2.2 One-Way ANOVA – Insect Spray Example8m
Lesson 2-2.3 One-Way ANOVA – Insect Spray Example in R10m
Lesson 2-2.4 Two-Way ANOVA – Tooth Growth Example11m
2 lecturas
Module 2 Overview20m
Module 2 Readings7m
3 ejercicios de práctica
Lesson 2-1 Practice Quiz30m
Lesson 2-2 Practice Quiz30m
Module 2 Graded Quiz30m
Semana
3

Semana 3

4 horas para completar

Module 3

4 horas para completar
7 videos (Total 63 minutos), 2 lecturas, 4 cuestionarios
7 videos
Lesson 3-1.1 Binary Outcome Model – Logit Model12m
Lesson 3-1.2 Binary Outcome Model – Logit Model Example 111m
Lecture 3-1.3 Binary Outcome Model – Logit Model Example 27m
Lesson 3-2.1 Multi-Dimensional Scaling Introduction10m
Lesson 3-2.2 Conducting an MDS Analysis9m
Lesson 3-2.3 Multi-Dimensional Scaling – R Example9m
2 lecturas
Module 3 Overview20m
Module 3 Readings30m
3 ejercicios de práctica
Lesson 3-1 Practice Quiz30m
Lesson 3-2 Practice Quiz5m
Module 3 Graded Quiz30m
Semana
4

Semana 4

4 horas para completar

Module 4

4 horas para completar
11 videos (Total 70 minutos), 2 lecturas, 3 cuestionarios
11 videos
Lecture 4-1.1 Conjoint Analysis – Introduction7m
Lesson 4-1.2 Conjoint Analysis – Data Collection Methods9m
Lesson 4-1.3 Conjoint Analysis – Types of Conjoint Analysis2m
Lesson 4-1.4 Conjoint Analysis – Part-Worth Utilities3m
Lesson 4-1.5 Conjoint Analysis Example – Ferry Fares10m
Lesson 4-1.6 Conjoint Analysis – Attributes10m
Lesson 4-1.7a Conjoint Analysis R Example – Setup5m
Lesson 4-1.7b Conjoint Analysis R Example – Part 110m
Lesson 4-1.7c Conjoint Analysis R Example – Part 25m
Course Summary: Applying Data Analytics in Marketing1m
2 lecturas
Module 4 Overview20m
Module 4 Readings1h
2 ejercicios de práctica
Lesson 4-1 Practice Quiz30m
Module 4 Graded Quiz30m

Revisiones

Principales revisiones sobre APPLYING DATA ANALYTICS IN MARKETING

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