Compartilhar os dados com a arte da visualização from Coursera

Este é o sexto curso do Certificado de Data Analytics do Google. Estes cursos darão a você as habilidades necessárias para se candidatar a cargos empregos de analista de dados de nível inicial. Você aprenderá a visualizar e apresentar as descobertas ao concluir o processo de análise de dados. Este curso mostrará a você de que maneira as visualizações de dados como painéis podem ajudar a dar vida aos seus dados. Você também descobrirá o Tableau, uma plataforma de visualização de dados que ajuda a criar visualizações eficazes para suas apresentações. Os analistas de dados do Google vão instruir e oferecer maneiras práticas de realizar tarefas comuns de analistas de dados com as melhores ferramentas e recursos.

Os alunos que concluírem este programa de certificação poderão se candidatar a empregos de nível inicial para analista de dados. Nenhuma experiência anterior é necessária.

Ao final deste curso, você poderá:

- Examinar a importância da visualização de dados.

- Saber como desenvolver uma narrativa interessante para contar a história dos dados.

- Compreender como usar o Tableau para criar painéis e filtros de painel.

- Saber como usar o Tableau para criar visualizações eficazes.

- Explorar os princípios e práticas para criar apresentações efetivas.

- Considerar as possíveis limitações associadas aos dados em suas apresentações.

- Compreender como aplicar as práticas recomendadas de perguntas e respostas com o seu público-alvo.

What's inside

Syllabus

Visualização de dados

A visualização de dados é a representação gráfica dos dados. Nesta parte do curso, você será apresentado aos principais conceitos, incluindo acessibilidade, Design Thinking e outros fatores que desempenham um papel na visualização dos dados em sua análise.

Criando visualizações de dados com o Tableau

O Tableau é uma ferramenta que ajuda analistas de dados a criar visualizações de dados práticas. Nesta parte do curso, você aprenderá sobre o Tableau e verá a importância da criatividade e da clareza ao visualizar as descobertas da sua análise de dados.

Criando histórias com dados

Para um bom storytelling com dados, é essencial conectar seu objetivo aos seus dados por meio de insights. Nessa parte do curso, você aprenderá sobre as histórias com base em dados e seus atributos. Você também aprenderá a respeito de como usar o Tableau para criar painéis e filtros de painel.

Desenvolvimento de apresentações e slides

Nesta parte do curso, você descobrirá como fazer uma apresentação eficaz sobre sua análise de dados. Você considerará todos os aspectos de sua análise ao criar a apresentação, além de como criar visualizações de dados claras, acessíveis e convincentes. Além disso, você aprenderá como antecipar e responder a possíveis limitações e perguntas que possam surgir.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Adequado para iniciantes que buscam iniciar uma carreira em análise de dados, pois não exige experiência prévia

Fornece uma compreensão dos princípios da visualização de dados e habilidades práticas para criar visualizações eficazes

Ensina o uso do Tableau, uma ferramenta popular para visualização de dados, o que pode ser valioso para os alunos

Abrange a criação de apresentações de dados eficazes, uma habilidade essencial para analistas de dados

Career center

Learners who complete Compartilhar os dados com a arte da visualização will develop knowledge and skills that may be useful to these careers:

Data Analyst

Data Analysts sift through large datasets looking for trends and patterns. They translate the results of their analysis into clear, concise presentations for both technical and non-technical audiences. To be an effective Data Analyst you need a solid grasp of both math and communications, in addition to technical proficiency in data management tools. By completing this course, you will learn how to harness the power of data visualization to communicate your findings in an engaging way. You will also learn how to use Tableau, an industry-leading data visualization platform, to create interactive dashboards, charts, and other visual aids.

See salaries and explore the career path for Data Analyst

Business Analyst

Business Analysts use data to solve business problems. They work closely with stakeholders to understand their needs and then develop and implement solutions that use data to improve efficiency, productivity, and profitability. To be successful in this role, you need a strong understanding of both business and data analysis. This course will help you build a strong foundation in data visualization, which is an essential skill for Business Analysts. You will learn how to use data visualization to communicate complex data in a clear and concise way.

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Data Scientist

Data Scientists use scientific methods to extract knowledge from data. They develop and implement algorithms to analyze data, build models, and make predictions. To be successful in this role, you need a strong foundation in math, statistics, and computer science. This course will help you build a strong foundation in data visualization, which is an essential skill for Data Scientists. You will learn how to use data visualization to explore data, identify patterns, and communicate your findings.

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Market Researcher

Market Researchers collect and analyze data about customers and markets. They use this data to help businesses understand their customers, develop new products and services, and make informed decisions about marketing and advertising. To be successful in this role, you need a strong understanding of both market research and data analysis. This course will help you build a strong foundation in data visualization, which is an essential skill for Market Researchers. You will learn how to use data visualization to communicate complex data in a clear and concise way.

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Financial Analyst

Financial Analysts use data to make investment recommendations. They analyze financial statements, economic data, and other sources of information to make informed decisions about which stocks, bonds, and other investments to buy or sell. To be successful in this role, you need a strong understanding of both finance and data analysis. This course will help you build a strong foundation in data visualization, which is an essential skill for Financial Analysts. You will learn how to use data visualization to analyze financial data, identify trends, and communicate your findings.

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Actuary

Actuaries use data to assess risk and uncertainty. They develop and implement models to predict the likelihood and financial impact of future events. To be successful in this role, you need a strong understanding of both actuarial science and data analysis. This course may be useful for you because it will help you build a strong foundation in data visualization, which is an essential skill for Actuaries. You will learn how to use data visualization to analyze data, identify patterns, and communicate your findings.

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Statistician

Statisticians use data to make informed decisions. They design and conduct studies, collect and analyze data, and draw conclusions from their findings. To be successful in this role, you need a strong understanding of both statistics and data analysis. This course may be useful for you because it will help you build a strong foundation in data visualization, which is an essential skill for Statisticians. You will learn how to use data visualization to explore data, identify patterns, and communicate your findings.

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Operations Research Analyst

Operations Research Analysts use data to improve the efficiency and effectiveness of organizations. They develop and implement models to optimize operations, reduce costs, and improve productivity. To be successful in this role, you need a strong understanding of both operations research and data analysis. This course may be useful for you because it will help you build a strong foundation in data visualization, which is an essential skill for Operations Research Analysts. You will learn how to use data visualization to analyze data, identify patterns, and communicate your findings.

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Data Architect

Data Architects design, build, and maintain data systems. They work closely with stakeholders to understand their needs and then develop and implement solutions that meet those needs. To be successful in this role, you need a strong understanding of both data architecture and data analysis. This course may be useful for you because it will help you build a strong foundation in data visualization, which is an essential skill for Data Architects. You will learn how to use data visualization to communicate complex data in a clear and concise way.

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Software Engineer

Software Engineers design, develop, and maintain software applications. They work closely with stakeholders to understand their needs and then develop and implement solutions that meet those needs. To be successful in this role, you need a strong understanding of both software engineering and data analysis. This course may be useful for you because it will help you build a strong foundation in data visualization, which is an essential skill for Software Engineers. You will learn how to use data visualization to analyze data, identify patterns, and communicate your findings.

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Quantitative Analyst

Quantitative Analysts use data to make investment decisions. They develop and implement models to analyze financial data, identify trading opportunities, and manage risk. To be successful in this role, you need a strong understanding of both quantitative analysis and data analysis. This course may be useful for you because it will help you build a strong foundation in data visualization, which is an essential skill for Quantitative Analysts. You will learn how to use data visualization to analyze data, identify patterns, and communicate your findings.

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Data Engineer

Data Engineers design, build, and maintain data pipelines. They work closely with stakeholders to understand their needs and then develop and implement solutions that meet those needs. To be successful in this role, you need a strong understanding of both data engineering and data analysis. This course may be useful for you because it will help you build a strong foundation in data visualization, which is an essential skill for Data Engineers. You will learn how to use data visualization to analyze data, identify patterns, and communicate your findings.

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Compartilhar os dados com a arte da visualização

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