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Fabiano Castello
and
Gustavo Carvalho
Nossas boas-vindas ao Curso Engajamento, Conversão e o Consumidor.
Read more
Nossas boas-vindas ao Curso Engajamento, Conversão e o Consumidor.
Read more
Nossas boas-vindas ao Curso Engajamento, Conversão e o Consumidor.
Neste curso, você aprenderá sobre as diferentes técnicas de análise de dados que permitem acompanhar e monitorar o consumidor com relação ao seu engajamento e aos seus níveis de conversão.
Ao final deste curso, você será capaz de utilizar técnicas de análise de dados utilizando Python para compreender diversas etapas da jornada do cliente e tomar as decisões gerencias apropriadas.
Este curso é composto por quatro módulos, disponibilizados em semanas de aprendizagem. Cada módulo é composto por vídeos, leituras e testes de verificação de aprendizagem. Ao final de cada módulo, temos uma avaliação de verificação dos conhecimentos.
Estamos muito felizes com sua presença neste curso e esperamos que você tire o máximo de proveito dos conceitos aqui apresentados.
Bons estudos!
Register for this course and see more details by visiting:
OpenCourser.com/course/nhp7j0/engajamento
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What's inside
Syllabus
Módulo 1 | Identificação dos Drivers de Engajamento e Conversão pela Regressão MQO e Linear
Este módulo irá abordar o processo decisório do consumidor no ambiente online. Isso significa compreender a jornada que o cliente atravessa para chegar até a compra no ambiente virtual. Iremos compreender como a Internet trouxe novas possibilidades para as organizações.
Read more
Syllabus
Módulo 1 | Identificação dos Drivers de Engajamento e Conversão pela Regressão MQO e Linear
Este módulo irá abordar o processo decisório do consumidor no ambiente online. Isso significa compreender a jornada que o cliente atravessa para chegar até a compra no ambiente virtual. Iremos compreender como a Internet trouxe novas possibilidades para as organizações.
Read more
Módulo 2 | Identificação dos Drivers de Engajamento e Conversão pela Regressão Logística
Neste módulo, será abordado o processo de mensuração de resultados por meio de ferramentas que apoiam o processo de análise de resultados.
Módulo 3 | Engajamento, Conversão e Árvores de Decisão
Neste módulo, iremos discutir de que forma é possível monitorar KPI’s por meio de visualização de dados utilizando os softwares, como o Python.
Módulo 4 | Customer Churn por Meio de Redes Neurais Artificiais
Neste módulo iremos abordar o processo de segmentação de mercado utilizando a técnica de Cluster.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Ensina técnicas de análise de dados com Python, o que apoia a compreensão da jornada do cliente
Capacita o aluno a tomar decisões gerenciais apropriadas com base nas análises de dados
Apresenta técnicas de análise de dados para monitorar e acompanhar o consumidor em relação ao engajamento e aos níveis de conversão
Aborda o processo de segmentação de mercado utilizando a técnica de cluster
Save this course
Save Engajamento, Conversão e o Consumidor to your list so you can find it easily later:
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Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Engajamento, Conversão e o Consumidor with these
activities:
Organize e revise os materiais do curso
Show steps
Organize e revise os materiais do curso, incluindo anotações, slides e exercícios para melhorar a retenção e reforçar o aprendizado.
Show steps
-
Organize as anotações e slides por tópico
-
Identifique as principais ideias e conceitos de cada tópico
-
Resuma os conceitos-chave e faça anotações pessoais
Participe de sessões de estudo em grupo
Show steps
Participe de sessões de estudo em grupo para discutir os conceitos do curso, resolver exercícios e aprender com colegas.
Show steps
-
Forme um grupo de estudo com colegas
-
Estabeleça horários regulares para as sessões de estudo
-
Prepare-se para participar ativamente e contribuir com as discussões
Participe de eventos de networking do setor
Show steps
Participe de eventos de networking para conectar-se com profissionais do setor, trocar ideias e aprender sobre as tendências mais recentes em engajamento e conversão do cliente.
Show steps
-
Pesquise eventos de networking relevantes
-
Prepare-se para apresentar-se e discutir seus interesses
-
Conecte-se com outros participantes e troque informações
One other activity
Expand to see all activities and additional details
Show all four activities
Crie um protótipo de solução para melhorar o engajamento do cliente
Show steps
Desenvolva um protótipo ou conceito de solução que demonstre como você aplicaria conceitos de engajamento do cliente para melhorar a experiência do usuário.
Browse courses on
UX Design
Show steps
-
Defina o problema que você deseja resolver
-
Pesquise e analise o comportamento do cliente
-
Desenvolva e teste ideias de solução
-
Crie um protótipo ou documento de conceito
Organize e revise os materiais do curso
Show steps
Organize e revise os materiais do curso, incluindo anotações, slides e exercícios para melhorar a retenção e reforçar o aprendizado.
Show steps
Show steps
Show steps
- Organize as anotações e slides por tópico
- Identifique as principais ideias e conceitos de cada tópico
- Resuma os conceitos-chave e faça anotações pessoais
Participe de sessões de estudo em grupo
Show steps
Participe de sessões de estudo em grupo para discutir os conceitos do curso, resolver exercícios e aprender com colegas.
Show steps
Show steps
Show steps
- Forme um grupo de estudo com colegas
- Estabeleça horários regulares para as sessões de estudo
- Prepare-se para participar ativamente e contribuir com as discussões
Participe de eventos de networking do setor
Show steps
Participe de eventos de networking para conectar-se com profissionais do setor, trocar ideias e aprender sobre as tendências mais recentes em engajamento e conversão do cliente.
Show steps
Show steps
Show steps
- Pesquise eventos de networking relevantes
- Prepare-se para apresentar-se e discutir seus interesses
- Conecte-se com outros participantes e troque informações
One other activity
Expand to see all activities and additional details
Show all four activities
Crie um protótipo de solução para melhorar o engajamento do cliente
Show steps
Desenvolva um protótipo ou conceito de solução que demonstre como você aplicaria conceitos de engajamento do cliente para melhorar a experiência do usuário.
Browse courses on
UX Design
Show steps
Show steps
Show steps
- Defina o problema que você deseja resolver
- Pesquise e analise o comportamento do cliente
- Desenvolva e teste ideias de solução
- Crie um protótipo ou documento de conceito
Career center
Learners who complete Engajamento, Conversão e o Consumidor will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
Data Analysts collect, process, analyze, and interpret data to identify trends, patterns, and insights. This course provides a broad overview of data analysis techniques, including regression analysis, decision trees, and neural networks, which Data Analysts can use to extract meaningful information from data and support decision-making.
Data Scientist
Data Scientist
Data Scientists use data to solve complex business problems and develop data-driven solutions. This course provides a comprehensive overview of data analysis techniques, including regression analysis, decision trees, and neural networks, which Data Scientists can leverage to extract insights from data, build predictive models, and make informed decisions.
Customer Insights Analyst
Customer Insights Analyst
Customer Insights Analysts analyze data to understand customer behavior, identify trends, and develop strategies for improving customer experiences. This course provides a comprehensive overview of data analysis techniques, including regression analysis, decision trees, and neural networks, which Customer Insights Analysts can use to extract meaningful insights from customer data.
Customer Success Manager
Customer Success Manager
Customer Success Managers are responsible for ensuring customer satisfaction and retention. This course provides a comprehensive understanding of customer engagement, conversion, and churn, enabling Customer Success Managers to identify and address customer needs, improve customer experiences, and drive customer loyalty.
Marketing Analyst
Marketing Analyst
Marketing Analysts gather and analyze data to understand customer behavior, identify trends, and evaluate marketing campaigns. This course provides a solid foundation in data analysis techniques, including regression analysis, decision trees, and neural networks, which are essential for Marketing Analysts to effectively analyze data and provide insights to guide marketing strategies.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use data to develop and validate mathematical models for financial analysis and investment strategies. This course provides a solid foundation in regression analysis and neural networks, two statistical techniques commonly used in quantitative analysis, which Quantitative Analysts can leverage to analyze financial data, identify patterns, and make informed investment decisions.
Pricing Analyst
Pricing Analyst
Pricing Analysts analyze data to determine the optimal pricing strategies for products and services. This course provides a solid foundation in regression analysis, a statistical technique commonly used in pricing analysis to identify relationships between price and other factors, enabling Pricing Analysts to make data-driven pricing decisions.
Market Researcher
Market Researcher
Market Researchers conduct research to gather data about target markets, consumer behavior, and industry trends. This course provides a foundation in data analysis techniques, including regression analysis and decision trees, which Market Researchers can use to analyze data, identify trends, and make informed decisions about marketing strategies.
Financial Analyst
Financial Analyst
Financial Analysts use data to analyze financial performance, make investment recommendations, and advise clients on financial matters. This course provides a foundation in data analysis techniques, including regression analysis and neural networks, which Financial Analysts can use to analyze financial data, identify trends, and make informed financial decisions.
Product Marketing Manager
Product Marketing Manager
Product Marketing Managers research, analyze, and make data-driven decisions about product development and marketing strategies. This course provides a foundation for using data analysis techniques to understand customer behavior, identify trends, and make informed decisions. Key concepts like engagement, conversion, and customer churn are crucial for Product Marketing Managers to optimize product offerings and drive growth.
Digital Marketing Specialist
Digital Marketing Specialist
Digital Marketing Specialists use data to optimize digital marketing campaigns and drive customer engagement. This course provides a foundation in data analysis techniques, including regression analysis and decision trees, which Digital Marketing Specialists can use to analyze campaign performance, identify areas for improvement, and make data-driven decisions about campaign strategies.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use data to optimize business processes and improve efficiency. This course provides a foundation in data analysis techniques, including decision trees and neural networks, which Operations Research Analysts can use to analyze data, identify inefficiencies, and develop data-driven solutions for process improvement.
Risk Analyst
Risk Analyst
Risk Analysts assess and manage risks faced by organizations. This course provides a foundation in data analysis techniques, including regression analysis and decision trees, which Risk Analysts can use to analyze data, identify potential risks, and make informed decisions about risk management strategies.
Business Analyst
Business Analyst
Business Analysts use data to identify opportunities, solve problems, and improve business processes. This course provides a foundation in data analysis techniques, including regression analysis and decision trees, which Business Analysts can leverage to understand business operations, analyze data, and make data-driven recommendations for improvement.
UX Researcher
UX Researcher
UX Researchers conduct research to understand user needs, preferences, and behaviors. This course provides a foundation in data analysis techniques, including regression analysis and decision trees, which UX Researchers can use to analyze user data, identify pain points, and make informed decisions about product design and user experience.
For more career information including salaries, visit:
OpenCourser.com/course/nhp7j0/engajamento
Reading list
We've selected seven books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Engajamento, Conversão e o Consumidor.
Save
Provides a comprehensive overview of digital marketing strategies, including customer engagement and conversion. It serves as a valuable resource for the course, offering a broader perspective on the digital marketing landscape.
Provides a strategic framework for managing customer experiences. It complements the course by offering a broader perspective on the role of customer engagement and conversion in creating a positive customer experience.
Comprehensive guide to using Python for data analysis. It serves as an excellent resource for the course, providing detailed instructions and examples on how to use Python to analyze data related to customer engagement and conversion.
Focuses on the use of analytics to understand consumer behavior and improve marketing campaigns. It serves as a valuable reference for the course, providing practical insights into data analysis techniques used in customer engagement and conversion.
Save
Offers a comprehensive overview of data mining techniques and algorithms. It serves as a valuable reference for the course, providing a deeper understanding of the data analysis methods used in customer engagement and conversion.
Provides a simplified explanation of machine learning concepts, making it accessible to beginners. It complements the course by offering a solid foundation in the fundamentals of machine learning, which is beneficial for understanding the AI techniques used in customer engagement and conversion.
Provides a quick and easy introduction to Python programming. It is particularly useful for beginners who want to learn the basics of Python for data analysis in the context of customer engagement and conversion.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/nhp7j0/engajamento
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Effort
4 semanas, de 4 a 5 horas por semana.
Level
Introductory
Via
Coursera
Institution
Fundação Instituto de Administração
Instructors
Fabiano Castello
Gustavo Carvalho
Language
Português
This course belongs to a
collection
called
Marketing e Data Science. It's comprised of four courses:
- Marketing e o Consumidor no Ambiente Digital
- Decisões de Marketing Baseadas em Dados
- Marketing Science e Estratégia de Marketing
- Engajamento, Conversão e o Consumidor (viewing)
Good to know
Ensina técnicas de análise de dados com Python, o que apoia a compreensão da jornada do cliente
Capacita o aluno a tomar decisões gerenciais apropriadas com base nas análises de dados
Apresenta técnicas de análise de dados para monitorar e acompanhar o consumidor em relação ao engajamento e aos níveis de conversão
Aborda o processo de segmentação de mercado utilizando a técnica de cluster
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