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Google Career Certificates

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.

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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.

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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.
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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

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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 Compartilhar os dados com a arte da visualização with these activities:
Revise Conceitos de UX/UI
Como a visualização de dados envolve projetar interfaces de usuário, revisar conceitos de UX/UI fortalecerá sua capacidade de criar visuais esteticamente agradáveis e fáceis de usar.
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  • Revise artigos e tutoriais online
  • Analise exemplos de painéis e infográficos bem projetados
  • Participe de um workshop ou curso online sobre UX/UI
Crie um Painel Básico com o Tableau
Este projeto prático permitirá que você aplique imediatamente os conceitos aprendidos sobre visualização de dados, consolidando seu conhecimento.
Browse courses on Tableau
Show steps
  • Instale o Tableau Public
  • Importe um conjunto de dados
  • Crie um gráfico básico
  • Adicione filtros e ações ao painel
Siga Tutoriais sobre Técnicas Avançadas do Tableau
Esses tutoriais irão expandir suas habilidades do Tableau, permitindo que você crie visualizações de dados ainda mais impactantes e informativas.
Browse courses on Tableau
Show steps
  • Encontre tutoriais abrangentes sobre técnicas avançadas
  • Siga os tutoriais passo a passo
  • Experimente e pratique as técnicas aprendidas
Show all three activities

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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.

Reading list

We've selected eight 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 Compartilhar os dados com a arte da visualização.
Provides comprehensive coverage of data visualization principles and techniques, including how to design effective visualizations, choose the right visualization for the data, and present data in a clear and engaging way.
Provides a comprehensive guide to designing effective information dashboards. It covers topics such as the principles of dashboard design, how to choose the right visualizations, and how to present data in a clear and concise way.
Classic in the field of data visualization. It provides a comprehensive overview of the principles of data visualization, including how to design effective charts and graphs.
Provides a comprehensive guide to using Tableau for data analysis and visualization. It covers advanced topics such as data blending, calculated fields, and custom visualizations.
Provides a quick reference guide to using Tableau for data analysis and visualization. It covers all the basics, from connecting to data to creating visualizations and dashboards.
Provides a practical guide to using data visualization to tell stories and communicate insights effectively. It covers topics such as how to identify the right data, choose the right visualization, and present data in a clear and compelling way.
Provides a comprehensive overview of the principles of visual communication. It covers topics such as how to design effective visual displays, use color and typography effectively, and create visualizations that are accessible to a wide audience.

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