Análise de Dados Quantitativos from Coursera

Nossas boas-vindas ao Curso Análise de Dados Quantitativos.

Neste curso, serão discutidas as principais técnicas de análise de dados, para que você tenha uma visão geral das opções que estão disponíveis para o planejamento da pesquisa de mercado e a obtenção de análises que realmente respondam às questões de pesquisa de mercado colocadas no momento do planejamento e desenho da pesquisa.

Ao final deste curso, você será capaz de atuar na análise de cenários complexos de mercado, ao identificar técnicas de análise quantitativa adequadas e aplicá-las para o resumo e interpretação dos dados, auxiliando a construção e validação de modelos envolvendo consumidores, concorrentes, setor, produtos e serviços, entre outras variáveis de mercado, para a tomada de decisão estratégica de marketing.

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!

What's inside

Syllabus

Módulo 1 | Análise Exploratória dos Dados

Neste módulo serão abordadas as principais técnicas de análise descritiva de dados que permitem ao aluno compreender os caminhos que existem para fazer análises de qualidade. Estas análises têm carácter exploratório e ajudam a compreender os dados da pesquisa.

Módulo 2 | Modelos de Previsão

Neste módulo serão abordadas as técnicas de análise de dados que permitem compreender relações entre as variáveis analisadas e construir modelos de previsão: variância, correlação e regressão.

Módulo 3 | Modelos de Agrupamento

Neste módulo serão analisadas agrupamentos e técnicas de análise em estudos quantitativos.

Módulo 4 | Modelos Estruturais

Neste módulo, serão abordadas as técnicas de análise multivariadas que permitem compreender relações complexas entre as variáveis de modelos analisados, de forma confirmatória.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Apresenta técnicas de análise de dados com foco em pesquisa de mercado, auxiliando na compreensão de dados e tomada de decisões estratégicas

Aborda técnicas essenciais de análise de dados quantitativos, como análise descritiva, modelos de previsão e modelos de agrupamento

Fornece uma base sólida para profissionais de marketing, pesquisadores de mercado e analistas de dados

Inclui avaliações de verificação de conhecimento para reforçar o aprendizado

Ensinado por Karin Senra, especialista em análise de dados

Exige conhecimentos prévios em análise quantitativa

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 Análise de Dados Quantitativos with these activities:

Participe de grupos de estudo com colegas

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Fortaleça sua compreensão participando de discussões com seus colegas, trocando insights e perspectivas.

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Encontre um grupo de colegas com interesses semelhantes.
Estabeleça um horário regular para se reunir.
Escolha tópicos específicos do curso para discutir.

Resolva exercícios quantitativos

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Reforce as técnicas quantitativas aprendidas no curso resolvendo exercícios práticos.

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Encontre exercícios quantitativos relacionados aos tópicos do curso.
Dedique um tempo específico para resolver os exercícios.
Revise suas respostas e identifique áreas de melhoria.

Crie apresentações sobre os tópicos do curso

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Melhore sua compreensão e capacidade de comunicar as técnicas quantitativas criando apresentações informativas.

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Escolha um tópico específico do curso.
Pesquise e reúna informações confiáveis.
Crie slides visuais e envolventes.
Ensaie sua apresentação e obtenha feedback de colegas.

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Career center

Learners who complete Análise de Dados Quantitativos will develop knowledge and skills that may be useful to these careers:

Data Scientist

Data Scientists use their knowledge of statistics, data analysis, and machine learning to extract meaningful insights from data. This course provides a solid foundation in quantitative data analysis techniques, including exploratory data analysis, predictive modeling, and structural equation modeling. These skills are essential for Data Scientists to effectively analyze data, build machine learning models, and develop data-driven solutions to business problems.

See salaries and explore the career path for Data Scientist

Quantitative Analyst

Quantitative Analysts use mathematical and statistical models to analyze financial data and make investment decisions. This course provides a solid foundation in quantitative data analysis techniques, including predictive modeling and structural equation modeling, which are essential for Quantitative Analysts to effectively analyze financial data and develop investment strategies.

See salaries and explore the career path for Quantitative Analyst

Business Analyst

Business Analysts use data analysis techniques to identify and solve business problems. This course provides a strong foundation in quantitative data analysis techniques, which are essential for Business Analysts to effectively analyze data, identify trends, and develop data-driven recommendations for improving business operations.

See salaries and explore the career path for Business Analyst

Operations Research Analyst

Operations Research Analysts use mathematical and statistical models to analyze and solve complex business problems. This course provides a solid foundation in quantitative data analysis techniques, including predictive modeling and structural equation modeling, which are essential for Operations Research Analysts to effectively analyze data, develop models, and optimize business operations.

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Statistician

Statisticians collect, analyze, and interpret data to gain insights into various phenomena. This course provides a comprehensive overview of quantitative data analysis techniques, including exploratory data analysis, predictive modeling, and structural equation modeling. These skills are essential for Statisticians to effectively analyze data, draw meaningful conclusions, and communicate their findings to a variety of audiences.

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Market Researcher

Market Researchers collect, analyze, and interpret data to understand consumer behavior and market trends. This course provides a comprehensive overview of quantitative data analysis techniques, which are essential for Market Researchers to effectively design and conduct market research studies, analyze data, and draw meaningful conclusions.

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Data Analyst

Data Analysts use their knowledge of statistics and data analysis techniques to extract meaningful insights from data. This course provides a solid foundation in quantitative data analysis techniques, including exploratory data analysis, predictive modeling, and structural equation modeling. These skills are essential for Data Analysts to effectively analyze data, identify trends, and make data-driven recommendations.

See salaries and explore the career path for Data Analyst

Financial Analyst

Financial Analysts use their knowledge of finance and data analysis to evaluate investment opportunities and make investment recommendations. This course provides a solid foundation in quantitative data analysis techniques, including predictive modeling and structural equation modeling, which are essential for Financial Analysts to effectively analyze financial data and develop investment strategies.

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Marketing Manager

Marketing Managers develop and execute marketing campaigns to promote products or services. This course provides a comprehensive overview of quantitative data analysis techniques, which are essential for Marketing Managers to effectively analyze market data, identify consumer trends, and develop effective marketing strategies.

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Product Manager

Product Managers are responsible for the development and launch of new products or services. This course provides a solid foundation in quantitative data analysis techniques, which are essential for Product Managers to effectively analyze market data, identify customer needs, and develop successful products.

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Consultant

Consultants provide advice and guidance to businesses on a variety of topics, including data analysis. This course provides a comprehensive overview of quantitative data analysis techniques, which are essential for Consultants to effectively analyze data, identify trends, and develop data-driven recommendations for their clients.

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Actuary

Actuaries use mathematical and statistical models to assess risk and uncertainty. This course provides a solid foundation in quantitative data analysis techniques, including predictive modeling and structural equation modeling, which are essential for Actuaries to effectively analyze data and develop risk management strategies.

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Epidemiologist

Epidemiologists investigate the causes and distribution of diseases in populations. This course may be useful for Epidemiologists who are interested in developing their quantitative data analysis skills to enhance their ability to analyze health data and identify risk factors for diseases.

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Software Engineer

Software Engineers design, develop, and maintain software systems. This course may be useful for Software Engineers who are interested in specializing in data analysis or developing data-driven applications.

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Data Journalist

Data Journalists use data to tell stories and inform the public. This course may be useful for Data Journalists who are interested in developing their quantitative data analysis skills to enhance their ability to analyze data and communicate findings effectively.

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