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Google Career Certificates
This is the second course in the Google Data Analytics Certificate. You’ll build on your understanding of the topics that were introduced in the first course of this certificate program. The material will help you learn how to ask effective questions, make data-driven decisions, and meet stakeholders’ needs. Current Google data analysts will instruct and provide you with hands-on ways to accomplish common data analytics tasks.
Learners who complete this certificate program will be equipped to apply for introductory-level jobs as data analysts. No previous experience is necessary.
Read more
This is the second course in the Google Data Analytics Certificate. You’ll build on your understanding of the topics that were introduced in the first course of this certificate program. The material will help you learn how to ask effective questions, make data-driven decisions, and meet stakeholders’ needs. Current Google data analysts will instruct and provide you with hands-on ways to accomplish common data analytics tasks.
Learners who complete this certificate program will be equipped to apply for introductory-level jobs as data analysts. No previous experience is necessary.
Read more
This is the second course in the Google Data Analytics Certificate. You’ll build on your understanding of the topics that were introduced in the first course of this certificate program. The material will help you learn how to ask effective questions, make data-driven decisions, and meet stakeholders’ needs. Current Google data analysts will instruct and provide you with hands-on ways to accomplish common data analytics tasks.
Learners who complete this certificate program will be equipped to apply for introductory-level jobs as data analysts. No previous experience is necessary.
By the end of this course, you will:
- Learn about effective questioning techniques that can help guide analysis.
- Gain an understanding of data-driven decision-making and how data analysts present findings.
- Explore a variety of real-world business scenarios as an example of questioning and decision-making.
- Discover how and why spreadsheets are an important tool for data analysts.
- Examine the key ideas associated with structured thinking and how they can help analysts better understand problems and develop solutions.
- Learn strategies for managing the expectations of stakeholders while establishing clear communication with a data analytics team to achieve business objectives.
Register for this course and see more details by visiting:
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What's inside
Syllabus
Ask effective questions
Data analysts are constantly asking questions in order to find solutions and identify business potential. In this part of the course, you’ll learn about effective questioning techniques that will help guide your analysis.
Read more
Syllabus
Ask effective questions
Data analysts are constantly asking questions in order to find solutions and identify business potential. In this part of the course, you’ll learn about effective questioning techniques that will help guide your analysis.
Read more
Traffic lights
Traffic lights
Read about what's good
what should give you pause and
possible dealbreakers
Develops questioning, decision-making, and communication skills, which are core skills for data analysts
Taught by Google data analysts, who are recognized for their work in the field
Examines data-driven decision-making, which is highly relevant to the field of data analytics
Builds a strong foundation for beginners in the field of data analytics
May require some existing background knowledge in data analytics
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Reviews summary
Practical skills for data-driven insights
According to learners, this course is a strong foundational program for anyone looking to enter the field of data analytics. Many commend its practical approach, emphasizing how to ask effective questions and apply structured thinking to real-world business problems. Students particularly appreciate the focus on data-driven decision-making and the valuable insights on managing stakeholder expectations. While it provides hands-on experience with spreadsheets, some more experienced learners found the content to be too basic, suggesting it's best suited for beginners or those needing a refresher on core concepts rather than advanced techniques.
Reinforces the importance of spreadsheets in data analysis.
"The course effectively demonstrates the power and utility of spreadsheets as a key tool for data analysts."
"I appreciated the practical lessons on how and why data analysts extensively use spreadsheets in their work."
"It really helped solidify my understanding of various spreadsheet functions and their application in analysis."
Offers valuable guidance on managing business relationships.
"The insights on managing stakeholder expectations and effective communication were highly relevant and applicable to my job."
"I learned practical strategies for balancing the needs of the team with those of key stakeholders, which is crucial."
"Understanding how to clearly communicate data findings to non-technical stakeholders was a significant benefit for me."
Focuses on applying concepts to practical business scenarios.
"I particularly valued the real-world business scenarios which helped me visualize how these concepts apply practically."
"The course does an excellent job of connecting theory to actual data analysis tasks and decision-making."
"I gained practical strategies and tools that I could immediately integrate into my professional work."
Emphasizes the critical skill of asking effective questions.
"The section on how to ask effective questions truly transformed my approach to problem-solving and data analysis."
"I now feel much more confident in framing relevant questions that can actually lead to data-driven insights."
"Learning the questioning techniques was a powerful takeaway; it's a skill I apply daily in my work."
An excellent starting point for new data analysts.
"As a complete beginner in data analytics, this course provided an incredibly solid foundation for me to build upon."
"I found it very accessible and easy to understand, even without prior experience in data or business analytics."
"If you're new to this field, this is an ideal course to grasp the fundamental concepts and thought processes."
May be too basic for those with prior data experience.
"As someone with some background in data, I found much of the content to be a review rather than new material."
"It felt a bit introductory and didn't delve into the more advanced analytical techniques I was hoping for."
"If you've already worked with data, this course might be a little slow-paced and general for your needs."
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 Ask Questions to Make Data-Driven Decisions with these
activities:
Review your notes from previous courses
Show steps
Reviewing your notes from previous courses will help you to refresh your knowledge of the topics that are covered in this course.
Browse courses on
Data Analysis
Show steps
-
Gather your notes from previous courses.
-
Review your notes and identify the key concepts.
Review spreadsheet skills
Show steps
It will be helpful to refresh the basics of working with spreadsheets in preparation for this course, as it will help you build a foundation in the key tools covered in this certificate program.
Browse courses on
Spreadsheets
Show steps
Follow a tutorial on how to use a data analysis tool
Show steps
Following a tutorial on how to use a data analysis tool will help you to learn the basics of the tool and how to use it to solve data analysis problems.
Browse courses on
Data Analysis
Show steps
-
Choose a data analysis tool that you want to learn.
-
Find a tutorial on how to use the tool.
-
Follow the tutorial and complete the exercises.
Seven other activities
Expand to see all activities and additional details
Show all ten activities
Participate in a peer-to-peer learning group
Show steps
Participating in a peer-to-peer learning group will allow you to learn from and collaborate with other data analysts.
Browse courses on
Data Analysis
Show steps
-
Find a peer-to-peer learning group that you are interested in.
-
Join the group and participate in the discussions.
-
Share your knowledge and expertise with the other members of the group.
Practice asking effective questions
Show steps
To help you gain confidence in your ability to identify important questions to ask, work through some practice exercises on asking effective questions.
Show steps
-
Identify the purpose of your inquiry.
-
Consider the audience for your questions.
-
Research the topic to gather background information.
-
Formulate specific and clear questions.
Practice solving data analysis problems
Show steps
Practicing solving data analysis problems will help you to develop your critical thinking and problem-solving skills.
Browse courses on
Data Analysis
Show steps
-
Find a dataset that you are interested in.
-
Identify a problem that you want to solve using the data.
-
Develop a solution to the problem.
-
Validate your solution by testing it on the data.
Create a data visualization dashboard
Show steps
Creating a data visualization dashboard will help you to develop your skills in data analysis and presentation.
Browse courses on
Data Visualization
Show steps
-
Choose a dataset that you are interested in.
-
Clean and prepare the data.
-
Create a data visualization dashboard using a tool like Tableau or Power BI.
-
Share your dashboard with others and get feedback.
Attend a data analysis workshop
Show steps
Attending a data analysis workshop will allow you to learn from experts in the field and to network with other data analysts.
Browse courses on
Data Analysis
Show steps
-
Find a data analysis workshop that you are interested in.
-
Register for the workshop.
-
Attend the workshop and participate in the activities.
Take a tutorial on stakeholder management
Show steps
Stakeholder management is an important aspect of data analysis. A tutorial can enhance your understanding of best practices for managing stakeholder expectations and fostering collaboration, ultimately improving your effectiveness in this role.
Browse courses on
Stakeholder Management
Show steps
Contribute to an open-source data analysis project
Show steps
Contributing to an open-source data analysis project will allow you to learn from and collaborate with other data analysts.
Browse courses on
Data Analysis
Show steps
-
Find an open-source data analysis project that you are interested in.
-
Join the project and start contributing.
-
Share your knowledge and expertise with the other members of the project.
Review your notes from previous courses
Show steps
Reviewing your notes from previous courses will help you to refresh your knowledge of the topics that are covered in this course.
Browse courses on
Data Analysis
Show steps
Show steps
Show steps
- Gather your notes from previous courses.
- Review your notes and identify the key concepts.
Review spreadsheet skills
Show steps
It will be helpful to refresh the basics of working with spreadsheets in preparation for this course, as it will help you build a foundation in the key tools covered in this certificate program.
Browse courses on
Spreadsheets
Show steps
Show steps
Show steps
Follow a tutorial on how to use a data analysis tool
Show steps
Following a tutorial on how to use a data analysis tool will help you to learn the basics of the tool and how to use it to solve data analysis problems.
Browse courses on
Data Analysis
Show steps
Show steps
Show steps
- Choose a data analysis tool that you want to learn.
- Find a tutorial on how to use the tool.
- Follow the tutorial and complete the exercises.
Seven other activities
Expand to see all activities and additional details
Show all ten activities
Participate in a peer-to-peer learning group
Show steps
Participating in a peer-to-peer learning group will allow you to learn from and collaborate with other data analysts.
Browse courses on
Data Analysis
Show steps
Show steps
Show steps
- Find a peer-to-peer learning group that you are interested in.
- Join the group and participate in the discussions.
- Share your knowledge and expertise with the other members of the group.
Practice asking effective questions
Show steps
To help you gain confidence in your ability to identify important questions to ask, work through some practice exercises on asking effective questions.
Show steps
Show steps
Show steps
- Identify the purpose of your inquiry.
- Consider the audience for your questions.
- Research the topic to gather background information.
- Formulate specific and clear questions.
Practice solving data analysis problems
Show steps
Practicing solving data analysis problems will help you to develop your critical thinking and problem-solving skills.
Browse courses on
Data Analysis
Show steps
Show steps
Show steps
- Find a dataset that you are interested in.
- Identify a problem that you want to solve using the data.
- Develop a solution to the problem.
- Validate your solution by testing it on the data.
Create a data visualization dashboard
Show steps
Creating a data visualization dashboard will help you to develop your skills in data analysis and presentation.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Choose a dataset that you are interested in.
- Clean and prepare the data.
- Create a data visualization dashboard using a tool like Tableau or Power BI.
- Share your dashboard with others and get feedback.
Attend a data analysis workshop
Show steps
Attending a data analysis workshop will allow you to learn from experts in the field and to network with other data analysts.
Browse courses on
Data Analysis
Show steps
Show steps
Show steps
- Find a data analysis workshop that you are interested in.
- Register for the workshop.
- Attend the workshop and participate in the activities.
Take a tutorial on stakeholder management
Show steps
Stakeholder management is an important aspect of data analysis. A tutorial can enhance your understanding of best practices for managing stakeholder expectations and fostering collaboration, ultimately improving your effectiveness in this role.
Browse courses on
Stakeholder Management
Show steps
Show steps
Show steps
Contribute to an open-source data analysis project
Show steps
Contributing to an open-source data analysis project will allow you to learn from and collaborate with other data analysts.
Browse courses on
Data Analysis
Show steps
Show steps
Show steps
- Find an open-source data analysis project that you are interested in.
- Join the project and start contributing.
- Share your knowledge and expertise with the other members of the project.
Career center
Learners who complete Ask Questions to Make Data-Driven Decisions will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
El analista de datos, también conocido como analista de inteligencia empresarial, se centra en utilizar datos para guiar a las empresas a tomar decisiones comerciales más acertadas. A menudo trabajan con equipos de liderazgo, investigando datos y comunicando sus hallazgos para que sean fáciles de entender y procesables. Es probable que los aprendices de este curso se sientan atraídos por la oportunidad de aprender sobre técnicas de preguntas efectivas, toma de decisiones basada en datos y los principios clave del pensamiento estructurado, que son esenciales para el papel del analista de datos.
Científico de datos
Científico de datos
Los científicos de datos utilizan el análisis estadístico y el aprendizaje automático para extraer conocimientos de los datos que pueden impulsar las decisiones comerciales, mejorar los procesos y desarrollar nuevos productos y servicios. Este curso es muy relevante para los científicos de datos, ya que cubre temas esenciales como hacer preguntas efectivas, tomar decisiones basadas en datos y usar hojas de cálculo de manera eficiente. Al aprender estas habilidades, los estudiantes pueden mejorar su capacidad para recopilar, analizar e interpretar datos, lo que es fundamental para el éxito en el campo de la ciencia de datos.
Analista de investigación de operaciones
Analista de investigación de operaciones
Los analistas de investigación de operaciones utilizan técnicas analíticas para mejorar la toma de decisiones y el rendimiento organizacional. Su función principal es desarrollar e implementar soluciones a problemas complejos utilizando herramientas y métodos científicos. Este curso proporciona una base sólida para los analistas de investigación de operaciones, ya que cubre principios fundamentales como el pensamiento estructurado y la toma de decisiones basada en datos. Al adquirir estas habilidades, los estudiantes pueden mejorar su capacidad para resolver problemas de manera efectiva y optimizar los procesos.
Ingeniero de datos
Ingeniero de datos
Los ingenieros de datos son responsables de diseñar, construir y mantener sistemas y procesos para almacenar, administrar y procesar grandes volúmenes de datos. Necesitan comprender las técnicas de gestión y análisis de datos, así como las herramientas y tecnologías necesarias para trabajar con datos. Este curso puede ser valioso para los ingenieros de datos, ya que cubre el uso de hojas de cálculo, un software esencial para manejar y analizar datos, y también proporciona información sobre los principios de la toma de decisiones basada en datos.
Gestor de Producto
Gestor de Producto
Los gerentes de producto son responsables de la estrategia, el desarrollo y el lanzamiento de nuevos productos y funciones. Necesitan comprender las necesidades de los usuarios, realizar investigaciones de mercado y trabajar con equipos de ingeniería para llevar los productos al mercado. Este curso puede resultar útil para los gerentes de producto, ya que cubre técnicas de preguntas efectivas, que son esenciales para comprender las necesidades de los usuarios y tomar decisiones informadas.
Analista de Negocio
Analista de Negocio
Los analistas de negocio ayudan a las empresas a identificar y analizar oportunidades para mejorar sus procesos y sistemas. Trabajan con las partes interesadas para comprender sus necesidades, recopilar datos y desarrollar soluciones que aborden sus desafíos comerciales. Este curso puede ser beneficioso para los analistas comerciales, ya que cubre el uso de hojas de cálculo, una herramienta esencial para recopilar y analizar datos, y también proporciona información sobre los principios del pensamiento estructurado.
Consultor de gestión
Consultor de gestión
Los consultores de gestión trabajan con empresas para mejorar su rendimiento y eficiencia. Ayudan a los clientes a identificar problemas, desarrollar estrategias y implementar soluciones. Este curso puede ser beneficioso para los consultores de gestión, ya que cubre técnicas de preguntas efectivas, que son esenciales para comprender los desafíos comerciales y desarrollar soluciones personalizadas para los clientes.
Especialista en Inteligencia Empresarial
Especialista en Inteligencia Empresarial
Los especialistas en inteligencia empresarial transforman los datos en información procesable que puede ayudar a las empresas a tomar mejores decisiones. Son responsables de recopilar, analizar e interpretar datos, y de comunicar los hallazgos de manera clara y concisa. Este curso puede ser valioso para los especialistas en inteligencia empresarial, ya que cubre la toma de decisiones basada en datos, así como el uso de hojas de cálculo y el pensamiento estructurado, que son herramientas esenciales para el éxito en este campo.
Investigador de mercado
Investigador de mercado
Los investigadores de mercado estudian el comportamiento de los consumidores para ayudar a las empresas a comprender sus necesidades y desarrollar productos y servicios que satisfagan esas necesidades. Utilizan una variedad de técnicas de investigación para recopilar y analizar datos, y este curso puede ser beneficioso para los investigadores de mercado, ya que cubre técnicas de preguntas efectivas, que son esenciales para desarrollar encuestas efectivas y realizar entrevistas.
Estratega de Marketing
Estratega de Marketing
Los estrategas de marketing desarrollan e implementan planes de marketing para ayudar a las empresas a alcanzar sus objetivos comerciales. Necesitan comprender el mercado, los competidores y las necesidades de los clientes. Este curso puede ser beneficioso para los estrategas de marketing, ya que cubre técnicas de preguntas efectivas, que son esenciales para comprender las necesidades del mercado y desarrollar estrategias de marketing efectivas.
Analista Financiero
Analista Financiero
Los analistas financieros asesoran a empresas e individuos sobre decisiones de inversión. Analizan los estados financieros, hacen proyecciones y desarrollan recomendaciones. Este curso puede ser beneficioso para los analistas financieros, ya que cubre la toma de decisiones basada en datos, así como el uso de hojas de cálculo, que son herramientas esenciales para analizar datos financieros.
Auditor
Auditor
Los auditores examinan los registros financieros de las empresas para garantizar que sean precisos y cumplan con las leyes y reglamentos. Necesitan comprender los principios contables y tener una sólida capacidad analítica. Este curso puede ser beneficioso para los auditores, ya que cubre la toma de decisiones basada en datos, así como el uso de hojas de cálculo, que son herramientas esenciales para analizar datos financieros.
Analista de riesgos
Analista de riesgos
Los analistas de riesgo evalúan el riesgo financiero y ayudan a las empresas a desarrollar estrategias para mitigar el riesgo. Necesitan comprender los principios financieros y tener una sólida capacidad analítica. Este curso puede ser beneficioso para los analistas de riesgo, ya que cubre la toma de decisiones basada en datos, así como el uso de hojas de cálculo, que son herramientas esenciales para analizar datos financieros.
Actuario
Actuario
Los actuarios utilizan principios matemáticos y estadísticos para evaluar el riesgo y desarrollar planes financieros. Necesitan tener una sólida comprensión de las matemáticas, las estadísticas y la gestión de riesgos. Este curso puede ser beneficioso para los actuarios, ya que cubre la toma de decisiones basada en datos, así como el uso de hojas de cálculo, que son herramientas esenciales para analizar datos financieros y realizar proyecciones.
Economista
Economista
Los economistas estudian la producción, distribución y consumo de bienes y servicios. Utilizan teorías y modelos económicos para analizar datos y hacer pronósticos. Este curso puede ser beneficioso para los economistas, ya que cubre técnicas de preguntas efectivas, que son esenciales para desarrollar hipótesis y diseñar estudios de investigación.
For more career information including salaries, visit:
OpenCourser.com/course/9oyuv1/ask
Reading list
We've selected ten 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
Ask Questions to Make Data-Driven Decisions.
Provides a structured approach to asking effective questions, which key skill for data analysts. It covers techniques for identifying and clarifying questions, as well as strategies for evaluating the quality of questions.
Save
Provides a clear and engaging introduction to statistics, which is essential for understanding and interpreting data in data analytics.
Teaches techniques for effectively communicating data insights to stakeholders, which is crucial for data analysts to deliver actionable results.
Provides a practical introduction to Python, a popular programming language for data analysis, which can enhance the course's hands-on learning.
Save
Introduces R, another widely used programming language for data analysis, providing an alternative perspective to the course's focus on Python.
Provides a step-by-step guide to using Excel for data analysis. It covers basic and advanced Excel techniques, as well as how to use Excel to solve common data analysis problems.
Offers a user-friendly guide to data visualization, which is essential for effectively presenting data insights to stakeholders.
Save
Explores the ethical and societal implications of data science, providing a broader perspective on the role of data in decision-making.
Save
Provides a practical introduction to data visualization. It covers the basics of data visualization, as well as how to create effective and informative data visualizations.
Save
Provides an overview of the impact of big data on various aspects of society, offering insights into the challenges and opportunities it presents.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/9oyuv1/ask
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Google Career Certificates
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