This course introduces students to customer satisfaction measurement through a wide range of analytical approaches. We will discuss the components of customer satisfaction, major issues in measuring customer satisfaction, statistical methods in analyzing customer satisfaction influence, sentiment analysis with social media data, influence analysis with social media data, and text summarization with social media data. This course aims to provide the foundation required to make better marketing decisions by analyzing multiple types of data related to customer satisfaction.
Este curso faz parte do Programa de cursos integrados Análises empresariaisAnálises Empresariais
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oferecido por
Programa de cursos integrados Análises empresariaisAnálises EmpresariaisUniversidade de Illinois em Urbana-ChampaignUniversidade de Illinois em Urbana-ChampaignInformações sobre o curso
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Prazos flexíveis
Redefinir os prazos de acordo com sua programação.
Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Nível intermediário
A basic familiarity with R is recommended.
Aprox. 12 horas para completar
Inglês
Legendas: Inglês
Habilidades que você terá
- Data Analysis
- Analytics
- Marketing
- Marketing Analytics
Prazos flexíveis
Redefinir os prazos de acordo com sua programação.
Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Nível intermediário
A basic familiarity with R is recommended.
Aprox. 12 horas para completar
Inglês
Legendas: Inglês
oferecido por
Universidade de Illinois em Urbana-ChampaignUniversidade de Illinois em Urbana-Champaign
The University of Illinois at Urbana-Champaign is a world leader in research, teaching and public engagement, distinguished by the breadth of its programs, broad academic excellence, and internationally renowned faculty and alumni. Illinois serves the world by creating knowledge, preparing students for lives of impact, and finding solutions to critical societal needs.
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Este curso está relacionado à graduação Master of Science in Management 100% on-line pela Universidade de Illinois em Urbana-ChampaignUniversidade de Illinois em Urbana-Champaign. Ele fornecerá uma prévia dos tópicos, materiais e instrutores para que você possa decidir se o programa de graduação on-line completo é adequado para você.
Programa - O que você aprenderá com este curso
5 horas para concluir
Course Introduction and Module 1: Customer Satisfaction
With the first module, we begin by looking at some definitions of customer satisfaction. Then, we explore some major issues we have to consider. These issues include the psychological constructs of customer satisfaction, proper measurement of those constructs, varying targets of satisfaction, differences in the impact of individuals' expressions, and changing satisfaction over time. We will then introduce you to a new tool that you can use to conduct various data science methods on social media data. We conclude the module with a short primer on R and RStudio.
5 horas para concluir
14 vídeos (Total 76 mín.), 6 leituras, 2 testes
3 horas para concluir
Module 2: Customer Satisfaction Analysis
We will begin our second module with a discussion on different types of data for customer satisfaction analysis. We first focus on survey data and look at different ways to analyze them. Next, we will provide a simple primer on linear and logistic regression. We will wrap up this module with a guided demo of utilizing sentiment analysis on tweets using the Social Media Macroscope.
3 horas para concluir
6 vídeos (Total 45 mín.), 2 leituras, 2 testes
2 horas para concluir
Module 3: Customer Satisfaction Influence Analysis
We will introduce a method to analyze customer satisfaction influence using social media data. Social networks are the perfect dataset to utilize network analysis to understand how people are interacting with other people and forming networks. Identifying a pattern in social media relationships can be useful when making marketing decisions. We will also review influencer brand personality analysis that can be used as a method for brands to find influencers similar in personality to themselves.
2 horas para concluir
5 vídeos (Total 34 mín.), 2 leituras, 1 teste
3 horas para concluir
Module 4: Text Summarization
We will learn about the various methods of text summarization. We begin by discussing the pre-processing steps required to bring the text to an analyzable form. Next, we look at how the frequency counts of multi-word phrases of pre-processed text can reveal the common terms being discussed. Building on top of the n-grams, we move onto a more intelligent method to automatically detect quality phrases. We will also discuss the LDA Topic Modeling - a very popular way to detect topics in a body of texts. We will wrap up this module with a highlight on supervised machine learning and an example of its application.
3 horas para concluir
7 vídeos (Total 56 mín.), 4 leituras, 1 teste
Avaliações
Principais avaliações do APPLYING DATA ANALYTICS IN MARKETING
por YH26 de Nov de 2020
This course is really insightful. Explanation done very well, quizzes is related and challenging. Although I suggest you have a statistical background before taking this course
por MY2 de Nov de 2019
it was a perfect course , which gave me the full picture of how to make a marketing testing and evaluation
por S3 de Jan de 2021
Very informative. Good beginning to start the journey into analytics for marketers.
por KK25 de Ago de 2020
Very informative and nice presentation and interactive sessions.
Sobre Programa de cursos integrados Análises empresariaisAnálises Empresariais
Our world has become increasingly digital, and business leaders need to make sense of the enormous amount of available data today. In order to make key strategic business decisions and leverage data as a competitive advantage, it is critical to understand how to draw key insights from this data. The Business Analytics specialization is targeted towards aspiring managers, senior managers, and business executives who wish to have a well-rounded knowledge of business analytics that integrates the areas of data science, analytics and business decision making.
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