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Google Cloud Training
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will use Google Cloud Client Libraries for .NET to query BigQuery public datasets with C#.
Register for this course and see more details by visiting:
OpenCourser.com/course/8i1lfy/using
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Provides practical experience with Google Cloud Client Libraries for .NET
Designed for individuals with basic C# programming skills
Focuses on querying BigQuery public datasets, a valuable skill for data analysts and engineers
The course is self-paced and takes place in Google Cloud console, offering flexibility and hands-on experience
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Save Using BigQuery with C# to your list so you can find it easily later:
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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 Using BigQuery with C# with these
activities:
Data Science for Business
Show steps
This book provides a comprehensive overview of data science techniques and their applications in business.
View
Data Science for Business: What You Need to...
on Amazon
Show steps
-
Read the book.
-
Summarize the key concepts.
-
Identify how the concepts can be applied to your own work.
Explore Google Cloud Client Libraries for .NET tutorials
Show steps
Enhance your understanding of the Google Cloud Client Libraries for .NET by exploring official tutorials.
Show steps
-
Complete the 'Getting Started' tutorial
-
Follow the 'Authentication' tutorial
-
Explore other relevant tutorials based on your interests
Build a BigQuery query
Show steps
Working through a tutorial on building a BigQuery query will help you understand how to query data in Google Cloud.
Show steps
-
Find a tutorial on building a BigQuery query.
-
Follow the tutorial step-by-step.
-
Test your query on a dataset.
Seven other activities
Expand to see all activities and additional details
Show all ten activities
Code challenges on BigQuery
Show steps
Practicing with coding challenges on BigQuery will help you develop your skills in writing queries.
Show steps
-
Find a website or platform that offers code challenges on BigQuery.
-
Choose a challenge and try to solve it.
-
Review your solution and identify areas for improvement.
Create a dashboard using Google Data Studio
Show steps
Creating a dashboard using Google Data Studio will help you visualize and analyze your data in a meaningful way.
Show steps
-
Find a tutorial on creating a dashboard using Google Data Studio.
-
Follow the tutorial step-by-step.
-
Connect your data source to Data Studio.
-
Create a dashboard and add visualizations.
Data analysis exercises
Show steps
Working on data analysis exercises will help you develop your skills in analyzing and interpreting data.
Show steps
-
Find a dataset that you are interested in.
-
Formulate a research question.
-
Analyze the data and draw conclusions.
Data visualization project
Show steps
Creating a data visualization project will help you develop your skills in communicating data insights to others.
Show steps
-
Choose a dataset that you are interested in.
-
Identify the key insights that you want to communicate.
-
Choose a visualization format that will effectively communicate your insights.
-
Create your visualization.
-
Present your visualization to others.
Solve coding challenges on LeetCode
Show steps
Sharpen your programming skills by solving coding problems on LeetCode, focusing on topics relevant to this course.
Browse courses on
Coding Challenges
Show steps
-
Choose problems related to BigQuery
-
Solve problems using Google Cloud Client Libraries for .NET
-
Review solutions and learn from others' approaches
Build a data-driven application
Show steps
Building a data-driven application will help you develop your skills in applying data analysis and visualization techniques to real-world problems.
Show steps
-
Identify a problem that you want to solve.
-
Gather data that is relevant to your problem.
-
Analyze the data and identify insights.
-
Design and develop an application that addresses your problem.
-
Deploy and maintain your application.
Build a simple data analysis application
Show steps
Solidify your understanding by creating a practical application that utilizes BigQuery to analyze data.
Browse courses on
Data Analysis
Show steps
-
Design a simple data analysis application
-
Implement the application using Google Cloud Client Libraries for .NET
-
Test and refine your application
Data Science for Business
Show steps
This book provides a comprehensive overview of data science techniques and their applications in business.
View
Data Science for Business: What You Need to...
on Amazon
Show steps
Show steps
Show steps
- Read the book.
- Summarize the key concepts.
- Identify how the concepts can be applied to your own work.
Explore Google Cloud Client Libraries for .NET tutorials
Show steps
Enhance your understanding of the Google Cloud Client Libraries for .NET by exploring official tutorials.
Show steps
Show steps
Show steps
- Complete the 'Getting Started' tutorial
- Follow the 'Authentication' tutorial
- Explore other relevant tutorials based on your interests
Build a BigQuery query
Show steps
Working through a tutorial on building a BigQuery query will help you understand how to query data in Google Cloud.
Show steps
Show steps
Show steps
- Find a tutorial on building a BigQuery query.
- Follow the tutorial step-by-step.
- Test your query on a dataset.
Seven other activities
Expand to see all activities and additional details
Show all ten activities
Code challenges on BigQuery
Show steps
Practicing with coding challenges on BigQuery will help you develop your skills in writing queries.
Show steps
Show steps
Show steps
- Find a website or platform that offers code challenges on BigQuery.
- Choose a challenge and try to solve it.
- Review your solution and identify areas for improvement.
Create a dashboard using Google Data Studio
Show steps
Creating a dashboard using Google Data Studio will help you visualize and analyze your data in a meaningful way.
Show steps
Show steps
Show steps
- Find a tutorial on creating a dashboard using Google Data Studio.
- Follow the tutorial step-by-step.
- Connect your data source to Data Studio.
- Create a dashboard and add visualizations.
Data analysis exercises
Show steps
Working on data analysis exercises will help you develop your skills in analyzing and interpreting data.
Show steps
Show steps
Show steps
- Find a dataset that you are interested in.
- Formulate a research question.
- Analyze the data and draw conclusions.
Data visualization project
Show steps
Creating a data visualization project will help you develop your skills in communicating data insights to others.
Show steps
Show steps
Show steps
- Choose a dataset that you are interested in.
- Identify the key insights that you want to communicate.
- Choose a visualization format that will effectively communicate your insights.
- Create your visualization.
- Present your visualization to others.
Solve coding challenges on LeetCode
Show steps
Sharpen your programming skills by solving coding problems on LeetCode, focusing on topics relevant to this course.
Browse courses on
Coding Challenges
Show steps
Show steps
Show steps
- Choose problems related to BigQuery
- Solve problems using Google Cloud Client Libraries for .NET
- Review solutions and learn from others' approaches
Build a data-driven application
Show steps
Building a data-driven application will help you develop your skills in applying data analysis and visualization techniques to real-world problems.
Show steps
Show steps
Show steps
- Identify a problem that you want to solve.
- Gather data that is relevant to your problem.
- Analyze the data and identify insights.
- Design and develop an application that addresses your problem.
- Deploy and maintain your application.
Build a simple data analysis application
Show steps
Solidify your understanding by creating a practical application that utilizes BigQuery to analyze data.
Browse courses on
Data Analysis
Show steps
Show steps
Show steps
- Design a simple data analysis application
- Implement the application using Google Cloud Client Libraries for .NET
- Test and refine your application
Career center
Learners who complete Using BigQuery with C# will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
Data Scientists use data to solve business problems. This course would be helpful for someone interested in a career as a Data Scientist because it provides a foundation in SQL, which is a key tool for data analysis. The course also covers how to use the Google Cloud Platform, which is a popular platform for data analysis and machine learning.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use statistical methods to analyze data and make predictions about financial markets. This course would be helpful for someone interested in a career as a Quantitative Analyst because it provides a foundation in SQL, which is a key tool for data analysis. The course also covers how to use the Google Cloud Platform, which is a popular platform for data analysis and machine learning.
Data Engineer
Data Engineer
Data Engineers design and build systems for storing and processing data. This course would be helpful for someone interested in a career as a Data Engineer because it provides a foundation in SQL, which is a key tool for data engineering. The course also covers how to use the Google Cloud Platform, which is a popular platform for data analysis and machine learning.
Business Analyst
Business Analyst
Business Analysts use data to help businesses make better decisions. This course would be helpful for someone interested in a career as a Business Analyst because it provides a foundation in SQL, which is a key tool for data analysis. The course also covers how to use the Google Cloud Platform, which is a popular platform for data analysis and machine learning.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. This course would be helpful for someone interested in a career as a Software Engineer because it provides a foundation in SQL, which is a key tool for data analysis and machine learning. The course also covers how to use the Google Cloud Platform, which is a popular platform for data analysis and machine learning.
Database Administrator
Database Administrator
Database Administrators manage and maintain databases. This course would be helpful for someone interested in a career as a Database Administrator because it provides a foundation in SQL, which is a key tool for database administration. The course also covers how to use the Google Cloud Platform, which is a popular platform for data analysis and machine learning.
Data Analyst
Data Analyst
Data Analysts use data to identify trends and patterns. This course would be helpful for someone interested in a career as a Data Analyst because it provides a foundation in SQL, which is a key tool for data analysis. The course also covers how to use the Google Cloud Platform, which is a popular platform for data analysis and machine learning.
Statistician
Statistician
Statisticians use data to make inferences about populations. This course would be helpful for someone interested in a career as a Statistician because it provides a foundation in SQL, which is a key tool for data analysis. The course also covers how to use the Google Cloud Platform, which is a popular platform for data analysis and machine learning.
Financial Analyst
Financial Analyst
Financial Analysts use data to make recommendations about investments. This course would be helpful for someone interested in a career as a Financial Analyst because it provides a foundation in SQL, which is a key tool for data analysis. The course also covers how to use the Google Cloud Platform, which is a popular platform for data analysis and machine learning.
Market Researcher
Market Researcher
Market Researchers use data to understand consumer behavior. This course would be helpful for someone interested in a career as a Market Researcher because it provides a foundation in SQL, which is a key tool for data analysis. The course also covers how to use the Google Cloud Platform, which is a popular platform for data analysis and machine learning.
Actuary
Actuary
Actuaries use data to assess risk. This course would be helpful for someone interested in a career as an Actuary because it provides a foundation in SQL, which is a key tool for data analysis. The course also covers how to use the Google Cloud Platform, which is a popular platform for data analysis and machine learning.
Epidemiologist
Epidemiologist
Epidemiologists use data to study the distribution and determinants of health-related states or events in specified populations. This course would be helpful for someone interested in a career as an Epidemiologist because it provides a foundation in SQL, which is a key tool for data analysis. The course also covers how to use the Google Cloud Platform, which is a popular platform for data analysis and machine learning.
Biostatistician
Biostatistician
Biostatisticians use data to design and analyze studies in the health sciences. This course would be helpful for someone interested in a career as a Biostatistician because it provides a foundation in SQL, which is a key tool for data analysis. The course also covers how to use the Google Cloud Platform, which is a popular platform for data analysis and machine learning.
Database Developer
Database Developer
Database Developers design and develop databases. This course would be helpful for someone interested in a career as a Database Developer because it provides a foundation in SQL, which is a key tool for database development. The course also covers how to use the Google Cloud Platform, which is a popular platform for data analysis and machine learning.
Data Architect
Data Architect
Data Architects design and build data architectures. This course would be helpful for someone interested in a career as a Data Architect because it provides a foundation in SQL, which is a key tool for data analysis. The course also covers how to use the Google Cloud Platform, which is a popular platform for data analysis and machine learning.
For more career information including salaries, visit:
OpenCourser.com/course/8i1lfy/using
Reading list
We've selected six 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
Using BigQuery with C#.
Is considered the definitive guide on BigQuery. For users who want to dig deeper into the platform, this book goes into great detail on everything you can do with BigQuery.
Save
Can serve as a supplemental material to this course. It covers all the basics of C#, as well as some of the more advanced features and how to use them effectively with .NET 6.
Save
Provides an in-depth look at the architecture of Google Cloud Platform. It covers the core components of GCP, as well as how they work together to provide a comprehensive cloud computing platform.
Save
Provides a comprehensive overview of cloud computing concepts, technologies, and architectures. It valuable resource for individuals who want to gain a thorough understanding of the cloud computing landscape.
Provides a comprehensive overview of Google Cloud Platform. It covers the core components of GCP, as well as how to use them to build and deploy cloud-based applications.
Provides a gentle introduction to Google Cloud Platform. It covers the basics of GCP, as well as how to use it to build and deploy cloud-based applications.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/8i1lfy/using
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Time
1 hours
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Good to know
Provides practical experience with Google Cloud Client Libraries for .NET
Designed for individuals with basic C# programming skills
Focuses on querying BigQuery public datasets, a valuable skill for data analysts and engineers
The course is self-paced and takes place in Google Cloud console, offering flexibility and hands-on experience
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