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Este é o segundo curso do Certificado de Análise de Dados do Google. Estes cursos darão a você as habilidades necessárias para se candidatar a cargos empregos de analista de dados de nível introdutório. Você aprenderá sobre os tópicos que foram introduzidos no primeiro curso de Certificado de Análise de Dados do Google. O material ajudará você a aprender como fazer perguntas eficazes para tomar decisões baseadas nos dados, enquanto se conecta com as necessidades das partes interessadas. 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 segundo curso do Certificado de Análise de Dados do Google. Estes cursos darão a você as habilidades necessárias para se candidatar a cargos empregos de analista de dados de nível introdutório. Você aprenderá sobre os tópicos que foram introduzidos no primeiro curso de Certificado de Análise de Dados do Google. O material ajudará você a aprender como fazer perguntas eficazes para tomar decisões baseadas nos dados, enquanto se conecta com as necessidades das partes interessadas. 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 introdutório como analista de dados. Nenhuma experiência anterior é necessária.

Ao final deste curso, você poderá:

- Aprender sobre técnicas eficazes para fazer perguntas que podem ajudar você a orientar sua análise.

- Obter uma compreensão de tomada de decisão com base em dados e como os analistas de dados apresentam as descobertas.

- Explorar uma gama de diferentes cenários de negócios do mundo real para ajudar você na compreensão do questionamento e da tomada de decisões.

- Descobrir como e por que as planilhas são uma ferramenta importante para o analista de dados.

- Examinar as principais ideias associadas ao pensamento estruturado e como elas podem ajudar os analistas a entender melhor os problemas e desenvolver soluções.

- Aprender estratégias para gerenciar as expectativas das partes interessadas enquanto estabelece uma comunicação clara com uma equipe de análise de dados para atingir os objetivos de negócios.

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What's inside

Syllabus

Perguntas efetivas
Para fazer o trabalho de um analista de dados, você precisa fazer perguntas e resolver problemas. Nesta parte do curso, você vai analisar alguns desafios de análise comuns e como os analistas aborda-los. Você também aprenderá sobre técnicas eficazes para fazer perguntas que podem ajudar você a orientar sua análise.
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Decisões com base em dados
Na análise, os dados orientam a tomada de decisões. Durante essa parte do curso, você explorará dados de todos os tipos e seu impacto nas escolhas e estratégias da vida real. Além disso, você aprenderá como compartilhar seus dados através de relatórios e painéis.
More spreadsheet basics
Spreadsheets are a very important data analytics tool. In this part of the course, you will learn about how data analysts use spreadsheets in their work every day. You will also explore why structured thinking helps analysts better understand problems and come up with solutions.
Always remember the stakeholder
Successful data analysts learn to balance needs and expectations. In this part of the course, you’ll learn strategies for managing stakeholder expectations while establishing clear communication with your team.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Ensina sobre técnicas eficientes de levantamento de hipóteses que orientam a análise
Desenvolve conhecimentos sobre tomada de decisões com base em evidências
Explora diversos cenários de negócios do mundo real para auxiliar na compreensão do questionamento e da tomada de decisões
Examina as planilhas e sua importância para a análise de dados
Discute sobre pensamento estruturado e seu auxílio na compreensão e resolução de problemas
Instrui sobre estratégias de gestão das expectativas das partes interessadas
Pré-requisito não obrigatório
Currículo abrangente e prático, orienta instrutores do Google
Qualificação em Análise de Dados do Google após a conclusão do curso
Desenvolve habilidades para atuar em cargos de nível básico de analista 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 Fazer perguntas para tomar decisões com base em dados with these activities:
Organize your learning resources
Keep your notes, assignments, and other materials organized to enhance your learning experience and make it easier to review.
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  • Create a filing system for your physical and digital materials.
  • Use note-taking apps or software to keep track of important concepts.
Practice SQL queries
Sharpen your SQL skills to efficiently retrieve and manipulate data for analysis.
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  • Set up a local database or use an online SQL editor.
  • Create practice datasets and write queries to extract and aggregate data.
Develop a data analysis plan
Create a plan that outlines your data analysis approach and objectives, ensuring a structured and effective analysis process.
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  • Define the problem statement and research questions.
  • Identify the data sources and determine the methods for data collection.
  • Outline the data analysis techniques and statistical tests you will use.
Four other activities
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Collaborate on data analysis projects
Engage with peers to discuss data analysis concepts, share insights, and provide feedback on each other's work.
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  • Form study groups with your classmates.
  • Choose a dataset or project to work on together.
  • Divide responsibilities and work collaboratively to analyze the data.
Solve data analysis case studies
Engage in practical data analysis exercises to apply your skills and gain insights from real-world scenarios.
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  • Find publicly available datasets or use case studies provided by the course.
  • Analyze the data using the techniques you've learned.
  • Draw conclusions and make recommendations based on your findings.
Participate in data analysis competitions
Challenge yourself by participating in data analysis competitions to test your skills and gain recognition.
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  • Identify relevant data analysis competitions online or through professional organizations.
  • Form a team or work individually to prepare for the competition.
  • Apply your knowledge and techniques to solve the competition tasks.
Develop a data analysis portfolio
Create a portfolio that showcases your data analysis skills and projects, demonstrating your capabilities to potential employers.
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  • Select your best data analysis projects and case studies.
  • Create presentations or reports that highlight your findings and insights.
  • Host your portfolio online or prepare a physical binder.

Career center

Learners who complete Fazer perguntas para tomar decisões com base em dados will develop knowledge and skills that may be useful to these careers:
Data Analyst
A Data Analyst uses data to help businesses make better decisions. This course will help you learn how to ask effective questions that can drive your analysis and lead to better decision-making. You will also learn how to present your findings in a clear and concise way so that stakeholders can understand and act on them. Additionally, you will gain experience using spreadsheets, which are a valuable tool for data analysts.
Business Analyst
A Business Analyst helps businesses to improve their operations by analyzing data and identifying areas for improvement. This course will help you develop the skills you need to be a successful Business Analyst, including how to ask effective questions, analyze data, and make recommendations. You will also learn how to communicate your findings to stakeholders in a way that is clear and actionable.
Data Scientist
A Data Scientist uses data to solve complex problems and make predictions. This course will help you develop the skills you need to be a successful Data Scientist, including how to ask effective questions, analyze data, and build models. You will also learn how to communicate your findings to stakeholders in a way that is clear and actionable.
Market Researcher
A Market Researcher conducts surveys and focus groups to collect data about consumer behavior. This course will help you develop the skills you need to be a successful Market Researcher, including how to ask effective questions, analyze data, and make recommendations. You will also learn how to communicate your findings to stakeholders in a way that is clear and actionable.
Financial Analyst
A Financial Analyst uses data to evaluate the financial performance of companies and make investment recommendations. This course will help you develop the skills you need to be a successful Financial Analyst, including how to ask effective questions, analyze data, and make recommendations. You will also learn how to communicate your findings to stakeholders in a way that is clear and actionable.
Operations Research Analyst
An Operations Research Analyst uses data to improve the efficiency and effectiveness of business operations. This course will help you develop the skills you need to be a successful Operations Research Analyst, including how to ask effective questions, analyze data, and make recommendations. You will also learn how to communicate your findings to stakeholders in a way that is clear and actionable.
Project Manager
A Project Manager plans and executes projects to achieve specific goals. This course will help you develop the skills you need to be a successful Project Manager, including how to ask effective questions, analyze data, and make decisions. You will also learn how to communicate your findings to stakeholders in a way that is clear and actionable.
Product Manager
A Product Manager develops and manages products to meet the needs of customers. This course will help you develop the skills you need to be a successful Product Manager, including how to ask effective questions, analyze data, and make decisions. You will also learn how to communicate your findings to stakeholders in a way that is clear and actionable.
Consultant
A Consultant provides advice and guidance to businesses on a variety of topics, including data analysis. This course will help you develop the skills you need to be a successful Consultant, including how to ask effective questions, analyze data, and make recommendations. You will also learn how to communicate your findings to stakeholders in a way that is clear and actionable.
Statistician
A Statistician collects, analyzes, and interprets data to provide insights into a variety of topics. This course will help you develop the skills you need to be a successful Statistician, including how to ask effective questions, analyze data, and make recommendations. You will also learn how to communicate your findings to stakeholders in a way that is clear and actionable.
Data Engineer
A Data Engineer designs and builds data systems to support data analysis. This course will help you develop the skills you need to be a successful Data Engineer, including how to ask effective questions, analyze data, and make recommendations. You will also learn how to communicate your findings to stakeholders in a way that is clear and actionable.
Software Engineer
A Software Engineer designs, develops, and maintains software applications. This course may be useful if you are interested in a career in software engineering and want to learn more about how data is used to improve software applications.
Web Developer
A Web Developer designs and develops websites. This course may be useful if you are interested in a career in web development and want to learn more about how data is used to improve websites.
Database Administrator
A Database Administrator manages and maintains databases. This course may be useful if you are interested in a career in database administration and want to learn more about how data is stored and managed.
Data Architect
A Data Architect designs and manages data systems to support data analysis. This course may be useful if you are interested in a career in data architecture and want to learn more about how data is used to improve business operations.

Reading list

We've selected nine 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 Fazer perguntas para tomar decisões com base em dados.
Provides a comprehensive guide to critical thinking, including how to ask effective questions, analyze arguments, and make sound decisions. It would be a valuable resource for students in this course who want to develop their analytical skills.
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Explores the two systems of thinking that our brains use: System 1, which is fast, intuitive, and emotional, and System 2, which is slow, deliberative, and logical. It would be a valuable resource for students in this course who want to understand how people make decisions.
Provides 99 short essays on common thinking errors. It would be a valuable resource for students in this course who want to develop their critical thinking skills.
Provides a clear and concise introduction to statistics. It covers topics such as data collection, analysis, and visualization, and it does so in a way that is accessible to non-experts.
Provides a comprehensive guide to using Python for data analysis. It covers topics such as data import and cleaning, data analysis, and data visualization.
Provides a comprehensive guide to using machine learning for data analysis. It covers topics such as supervised learning, unsupervised learning, and model evaluation.
Provides a comprehensive guide to big data analytics. It covers topics such as big data technologies, big data analytics techniques, and big data analytics applications.

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