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Google Cloud Training
This is a self-paced lab that takes place in the Google Cloud console.
This lab leverages two Google developer platforms: G Suite and Google Cloud Platform (GCP). It uses GCP's BigQuery API, Sheets, and Slides to collect, analyze and present data.
Register for this course and see more details by visiting:
OpenCourser.com/course/b25tum/big
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What's inside
Syllabus
Traffic lights
Traffic lights
Read about what's good
what should give you pause and
possible dealbreakers
Ideal for those who want to analyze data in the context of a business presentation
Develops their skills in using Sheets, BigQuery, and Slides
Suitable for complete beginners and intermediate learners
Led by Google Cloud Training, a reputable provider for cloud computing
Offers hands-on labs and interactive materials for practical learning
Provides a solid foundation for those looking to build their data analysis skills
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Reviews summary
Practical google cloud data analysis
According to students, this course offers a largely positive experience, particularly for those new to Google Cloud's data ecosystem. Learners frequently highlight its hands-on, practical approach to Big Data Analysis, praising the clear, step-by-step guidance through the self-paced lab. The seamless integration of BigQuery, Google Sheets, and Slides for analysis and presentation is a key strength. While some found parts of the Google Cloud console UI slightly outdated or the content too basic for experienced analysts, it's widely regarded as an excellent starting point for professionals seeking to apply these skills.
Concise and to the point, efficient.
"A good, concise overview of the BigQuery to Slides workflow."
"It's concise and to the point, which is great for busy professionals."
"I found the course to be very efficient in teaching the essential workflow without unnecessary fluff."
Perfect for those new to GCP data tools.
"Perfect for beginners who want to see the whole data pipeline from analysis to presentation using Google's tools. I had no prior experience with BigQuery but found it accessible."
"This course was a fantastic introduction to using BigQuery and Google Sheets for data analysis."
"I found it accessible even without prior BigQuery experience, and it's a great starting point for applying these skills."
Connects Google tools effectively.
"I really appreciated how it tied everything together into a slide presentation, which is a crucial skill for my job."
"The integration with G Suite was seamless. I felt confident applying these skills in my own work after completing it."
"It's a quick way to get familiar with BigQuery queries and exporting data to Sheets for visualization before creating slides. Very practical."
Provides direct, practical experience.
"This course was a fantastic introduction to using BigQuery and Google Sheets for data analysis. The lab environment was well-structured and easy to follow..."
"Excellent course for getting hands-on with BigQuery. The steps were clear, and I managed to create a decent presentation by the end."
"The hands-on nature of the lab is its biggest strength. I loved working directly in the Google Cloud environment. Very practical."
Some lab elements may not match current UI.
"While the core concept is useful, I found some parts of the lab outdated. A few UI elements in the Google Cloud console had changed..."
"I encountered minor confusion as some UI elements in the Google Cloud console didn't match the instructions exactly, requiring troubleshooting."
"The concepts are solid but the execution needs a refresh due to evolving UI."
Too basic for experienced data professionals.
"This course is too basic for anyone with existing data analysis experience. It just scratches the surface and felt like following a recipe..."
"Useful for its specific task, but lacks broader context. If you want to understand data analysis principles, look elsewhere."
"I expected more in-depth analysis techniques; it's a bit too prescriptive and doesn't offer much 'why'."
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 Big Data Analysis to a Slide Presentation with these
activities:
Assist Fellow Learners
Show steps
Consolidate your understanding by providing guidance and support to other students.
Show steps
-
Join the course forums and discussion boards.
-
Answer questions and offer assistance to others.
Organize Course Notes
Show steps
Enhance your understanding by organizing and reviewing your course materials.
Show steps
-
Compile notes, assignments, and other course materials.
-
Review and reinforce your understanding.
Brush Up on SQL Fundamentals
Show steps
Revisit core SQL concepts to ensure a strong foundation for the course.
Browse courses on
SQL
Show steps
-
Review basic SQL syntax and commands.
-
Practice writing simple SQL queries.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Explore Google Cloud Platform Basics
Show steps
Familiarize yourself with the Google Cloud Platform and its key components.
Show steps
-
Complete the Google Cloud Platform Fundamentals Quest.
-
Review the Google Cloud Platform documentation.
Build a Simple Data Visualization
Show steps
Apply your knowledge to create a data visualization that showcases your understanding of BigQuery and Sheets.
Show steps
-
Gather and clean a dataset.
-
Create a visualization using Google Sheets or Data Studio.
Solve Data Analysis Challenges
Show steps
Test your data analysis skills by solving real-world problems using BigQuery and Sheets.
Show steps
-
Find online data analysis challenges.
-
Apply your knowledge to solve the challenges.
Participate in Data Analysis Hackathon
Show steps
Challenge yourself and showcase your skills by participating in a data analysis hackathon.
Show steps
-
Find a relevant data analysis hackathon.
-
Collaborate with a team or work individually to solve a data analysis problem.
Assist Fellow Learners
Show steps
Consolidate your understanding by providing guidance and support to other students.
Show steps
Show steps
Show steps
- Join the course forums and discussion boards.
- Answer questions and offer assistance to others.
Organize Course Notes
Show steps
Enhance your understanding by organizing and reviewing your course materials.
Show steps
Show steps
Show steps
- Compile notes, assignments, and other course materials.
- Review and reinforce your understanding.
Brush Up on SQL Fundamentals
Show steps
Revisit core SQL concepts to ensure a strong foundation for the course.
Browse courses on
SQL
Show steps
Show steps
Show steps
- Review basic SQL syntax and commands.
- Practice writing simple SQL queries.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Explore Google Cloud Platform Basics
Show steps
Familiarize yourself with the Google Cloud Platform and its key components.
Show steps
Show steps
Show steps
- Complete the Google Cloud Platform Fundamentals Quest.
- Review the Google Cloud Platform documentation.
Build a Simple Data Visualization
Show steps
Apply your knowledge to create a data visualization that showcases your understanding of BigQuery and Sheets.
Show steps
Show steps
Show steps
- Gather and clean a dataset.
- Create a visualization using Google Sheets or Data Studio.
Solve Data Analysis Challenges
Show steps
Test your data analysis skills by solving real-world problems using BigQuery and Sheets.
Show steps
Show steps
Show steps
- Find online data analysis challenges.
- Apply your knowledge to solve the challenges.
Participate in Data Analysis Hackathon
Show steps
Challenge yourself and showcase your skills by participating in a data analysis hackathon.
Show steps
Show steps
Show steps
- Find a relevant data analysis hackathon.
- Collaborate with a team or work individually to solve a data analysis problem.
Career center
Learners who complete Big Data Analysis to a Slide Presentation will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
Data Analysts use their knowledge of data analysis tools and techniques to extract meaningful insights from data. This course can help you develop the skills needed to be a successful Data Analyst by teaching you how to use BigQuery API, Sheets, and Slides to collect, analyze and present data. Additionally, this course may be helpful for those who want to enter the field of Data Analysis.
Market Research Analyst
Market Research Analyst
Market Research Analysts use data to understand consumer behavior and trends. This course can help you develop the skills needed to be a successful Market Research Analyst by teaching you how to use BigQuery API, Sheets, and Slides to collect, analyze and present data. Additionally, this course may be helpful for those who want to enter the field of Market Research.
Business Analyst
Business Analyst
Business Analysts use data to identify and solve business problems. This course can help you develop the skills needed to be a successful Business Analyst by teaching you how to use BigQuery API, Sheets, and Slides to collect, analyze and present data. Additionally, this course may be helpful for those who want to enter the field of Business Analysis.
Data Scientist
Data Scientist
Data Scientists use data to build models and make predictions. This course can help you develop the skills needed to be a successful Data Scientist by teaching you how to use BigQuery API, Sheets, and Slides to collect, analyze and present data. Additionally, this course may be helpful for those who want to enter the field of Data Science.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. This course can help you develop the skills needed to be a successful Software Engineer by teaching you how to use BigQuery API, Sheets, and Slides to collect, analyze and present data. Additionally, this course may be helpful for those who want to enter the field of Software Engineering.
Data Engineer
Data Engineer
Data Engineers design, build, and maintain data pipelines. This course can help you develop the skills needed to be a successful Data Engineer by teaching you how to use BigQuery API, Sheets, and Slides to collect, analyze and present data. Additionally, this course may be helpful for those who want to enter the field of Data Engineering.
Database Administrator
Database Administrator
Database Administrators design, build, and maintain databases. This course can help you develop the skills needed to be a successful Database Administrator by teaching you how to use BigQuery API, Sheets, and Slides to collect, analyze and present data. Additionally, this course may be helpful for those who want to enter the field of Database Administration.
Statistician
Statistician
Statisticians use data to make inferences about populations. This course can help you develop the skills needed to be a successful Statistician by teaching you how to use BigQuery API, Sheets, and Slides to collect, analyze and present data. Additionally, this course may be helpful for those who want to enter the field of Statistics.
Financial Analyst
Financial Analyst
Financial Analysts use data to make investment decisions. This course can help you develop the skills needed to be a successful Financial Analyst by teaching you how to use BigQuery API, Sheets, and Slides to collect, analyze and present data. Additionally, this course may be helpful for those who want to enter the field of Finance.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use data to improve the efficiency of operations. This course can help you develop the skills needed to be a successful Operations Research Analyst by teaching you how to use BigQuery API, Sheets, and Slides to collect, analyze and present data. Additionally, this course may be helpful for those who want to enter the field of Operations Research.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use data to make investment decisions. This course can help you develop the skills needed to be a successful Quantitative Analyst by teaching you how to use BigQuery API, Sheets, and Slides to collect, analyze and present data. Additionally, this course may be helpful for those who want to enter the field of Quantitative Finance.
Actuary
Actuary
Actuaries use data to assess risk. This course can help you develop the skills needed to be a successful Actuary by teaching you how to use BigQuery API, Sheets, and Slides to collect, analyze and present data. Additionally, this course may be helpful for those who want to enter the field of Actuarial Science.
Data Architect
Data Architect
Data Architects design and build data systems. This course can help you develop the skills needed to be a successful Data Architect by teaching you how to use BigQuery API, Sheets, and Slides to collect, analyze and present data. Additionally, this course may be helpful for those who want to enter the field of Data Architecture.
Systems Analyst
Systems Analyst
Systems Analysts design and build information systems. This course can help you develop the skills needed to be a successful Systems Analyst by teaching you how to use BigQuery API, Sheets, and Slides to collect, analyze and present data. Additionally, this course may be helpful for those who want to enter the field of Systems Analysis.
Business Intelligence Analyst
Business Intelligence Analyst
Business Intelligence Analysts use data to improve business decision-making. This course can help you develop the skills needed to be a successful Business Intelligence Analyst by teaching you how to use BigQuery API, Sheets, and Slides to collect, analyze and present data. Additionally, this course may be helpful for those who want to enter the field of Business Intelligence.
For more career information including salaries, visit:
OpenCourser.com/course/b25tum/big
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
Big Data Analysis to a Slide Presentation.
Provides a practical guide to big data analytics. It covers topics such as data collection, storage, processing, analysis, and visualization. It valuable resource for learners who want to learn how to use big data analytics to solve real-world problems.
Provides a practical guide to machine learning with R. It covers topics such as supervised learning, unsupervised learning, and model evaluation. It valuable resource for learners who want to learn how to use R to build machine learning models.
Save
Provides a practical guide to data mining with R. It covers topics such as data exploration, data preprocessing, and data mining algorithms. It valuable resource for learners who want to learn how to use R to analyze data.
Provides a practical guide to machine learning with Python. It covers topics such as supervised learning, unsupervised learning, and model evaluation. It valuable resource for learners who want to learn how to use Python to build machine learning models.
Save
Provides a practical guide to deep learning with R. It covers topics such as convolutional neural networks, recurrent neural networks, and deep learning architectures. It valuable resource for learners who want to learn how to use deep learning to solve real-world problems.
Provides a practical guide to deep learning with Python. It covers topics such as convolutional neural networks, recurrent neural networks, and deep learning architectures. It valuable resource for learners who want to learn how to use deep learning to solve real-world problems.
Provides an introduction to data science for beginners. It covers topics such as data mining, data analysis, and machine learning. It valuable resource for learners who want to learn the basics of data science.
Provides an introduction to data science for business professionals. It covers topics such as data mining, data analysis, and machine learning. It valuable resource for learners who want to learn how to use data to make better business decisions.
Provides an introduction to machine learning for beginners. It covers topics such as supervised learning, unsupervised learning, and model evaluation. It valuable resource for learners who want to learn the basics of machine learning.
Provides an introduction to machine learning for beginners. It covers topics such as supervised learning, unsupervised learning, and model evaluation. It valuable resource for learners who want to learn the basics of machine learning.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/b25tum/big
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