Informações sobre o curso
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Aprox. 12 horas para completar

Sugerido: 4 weeks of study, 5-6 hours/week...

Inglês

Legendas: Inglês, Espanhol, Chinês (simplificado)

Habilidades que você terá

Predictive AnalyticsCustomer AnalyticsRegression AnalysisMarketing Performance Measurement And Management

100% online

Comece imediatamente e aprenda em seu próprio cronograma.

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.

Aprox. 12 horas para completar

Sugerido: 4 weeks of study, 5-6 hours/week...

Inglês

Legendas: Inglês, Espanhol, Chinês (simplificado)

Programa - O que você aprenderá com este curso

Semana
1
4 minutos para concluir

Introduction to Customer Analytics

What is Customer Analytics? How is this course structured? What will I learn in this course? What will I learn in the Business Analytics Specialization? These short videos will give you an overview of this course and the specialization; the substantive lectures begin in Week 2.

...
2 vídeos ((Total 4 mín.))
2 videos
Overview of the Business Analytics Specialization1min
Semana
2
2 horas para concluir

Descriptive Analytics

In this module, you’ll learn what data can and can’t describe about customer behavior as well as the most effective methods for collecting data and deciding what it means. You’ll understand the critical difference between data which describes a causal relationship and data which describes a correlative one as you explore the synergy between data and decisions, including the principles for systematically collecting and interpreting data to make better business decisions. You’ll also learn how data is used to explore a problem or question, and how to use that data to create products, marketing campaigns, and other strategies. By the end of this module, you’ll have a solid understanding of effective data collection and interpretation so that you can use the right data to make the right decision for your company or business.

...
7 vídeos ((Total 73 mín.)), 2 leituras, 1 teste
7 videos
Descriptive Data Collection: Survey Overview16min
Descriptive Data Collection: Net Promoter Score and Self-Reports11min
Descriptive Data Collection: Survey Design16min
Passive Data Collection4min
Media Planning8min
Causal Data Collection and Summary8min
2 leituras
Descriptive Analytics Slides10min
Additional Readings: Descriptive Analytics10min
1 exercício prático
Descriptive Analytics Quiz20min
Semana
3
2 horas para concluir

Predictive Analytics

Once you’ve collected and interpreted data, what do you do with it? In this module, you’ll learn how to take the next step: how to use data about actions in the past to make to make predictions about actions in the future. You’ll examine the main tools used to predict behavior, and learn how to determine which tool is right for which decision purposes. Additionally, you’ll learn the language and the frameworks for making predictions of future behavior. At the end of this module, you’ll be able to determine what kinds of predictions you can make to create future strategies, understand the most powerful techniques for predictive models including regression analysis, and be prepared to take full advantage of analytics to create effective data-driven business decisions.

...
10 vídeos ((Total 79 mín.)), 4 leituras, 1 teste
10 videos
Asking Predictive Questions3min
Regression Analysis, Part 1: The Demand Curve5min
Regression Analysis, Part 2: Making Predictions5min
Beyond Period 210min
Making Predictions Using a Data Set8min
Data Set Predictions: Mary, Sharmila, or Chris?10min
Probability Models10min
Implementation of the Model16min
Results and Predictions5min
4 leituras
Reading: Customer Lifetime Value10min
Predictive Analytics and Regression Analysis Slides10min
Implementation of the Model Spreadsheet10min
Additional Readings: Predictive Analytics10min
1 exercício prático
Predictive Analytics Quiz20min
Semana
4
1 hora para concluir

Prescriptive Analytics

How do you turn data into action? In this module, you’ll learn how prescriptive analytics provide recommendations for actions you can take to achieve your business goals. First, you’ll explore how to ask the right questions, how to define your objectives, and how to optimize for success. You’ll also examine critical examples of prescriptive models, including how quantity is impacted by price, how to maximize revenue, how to maximize profits, and how to best use online advertising. By the end of this module, you’ll be able to define a problem, define a good objective, and explore models for optimization which take competition into account, so that you can write prescriptions for data-driven actions that create success for your company or business.

...
7 vídeos ((Total 42 mín.)), 1 leitura, 1 teste
7 videos
What is Prescriptive Analytics?4min
Using the Data to Maximize Revenue6min
Parameters of the Model10min
Market Structure9min
Competition and Online Advertising Models5min
Conclusion(s)5min
1 leituras
Prescriptive Analytics Slides10min
1 exercício prático
Prescriptive Analytics Quiz20min
4.5
1293 avaliaçõesChevron Right

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comecei uma nova carreira após concluir estes cursos

30%

consegui um benefício significativo de carreira com este curso

Principais avaliações do Análises do cliente

por NDJan 31st 2019

Though I have worked on Customer Analytics with my previous work experiences and also on Surveys etc at George Brown College Canada, this module was more than insightful. Lots of learning to learn eh!

por AVSep 11th 2016

I really enjoyed the class. Analytics are such an important part of today's understanding of the customer but have other uses even beyond that. Professor Fader has really great insight on the subect.

Instrutores

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Eric Bradlow

Professor of Marketing, Statistics, and Education, Chairperson, Wharton Marketing Department, Vice Dean and Director, Wharton Doctoral Program, Co-Director, Wharton Customer Analytics Initiative
The Wharton School
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Peter Fader

Professor of Marketing and Co-Director of the Wharton Customer Analytics Initiative
The Wharton School
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Raghu Iyengar

Associate Professor of Marketing
The Wharton School
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Ron Berman

Assistant Professor of Marketing
The Wharton School

Sobre Universidade da Pensilvânia

The University of Pennsylvania (commonly referred to as Penn) is a private university, located in Philadelphia, Pennsylvania, United States. A member of the Ivy League, Penn is the fourth-oldest institution of higher education in the United States, and considers itself to be the first university in the United States with both undergraduate and graduate studies. ...

Sobre o Programa de cursos integrados Análises empresariaisAnálises Empresariais

This Specialization provides an introduction to big data analytics for all business professionals, including those with no prior analytics experience. You’ll learn how data analysts describe, predict, and inform business decisions in the specific areas of marketing, human resources, finance, and operations, and you’ll develop basic data literacy and an analytic mindset that will help you make strategic decisions based on data. In the final Capstone Project, you’ll apply your skills to interpret a real-world data set and make appropriate business strategy recommendations....
Análises empresariaisAnálises Empresariais

Perguntas Frequentes – FAQ

  • Ao se inscrever para um Certificado, você terá acesso a todos os vídeos, testes e tarefas de programação (se aplicável). Tarefas avaliadas pelos colegas apenas podem ser enviadas e avaliadas após o início da sessão. Caso escolha explorar o curso sem adquiri-lo, talvez você não consiga acessar certas tarefas.

  • Quando você se inscreve no curso, tem acesso a todos os cursos na Especialização e pode obter um certificado quando concluir o trabalho. Seu Certificado eletrônico será adicionado à sua página de Participações e você poderá imprimi-lo ou adicioná-lo ao seu perfil no LinkedIn. Se quiser apenas ler e assistir o conteúdo do curso, você poderá frequentá-lo como ouvinte sem custo.

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