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Ikechukwu Nigel Ogbuchi
In this guided project, you will learn about working with Google's BigQuery which is allows easily work with and query massive datasets without worrying about time wasting or having the right infrastructure to analyze that data quickly. You will learn how to use big query to collect your data, query it with SQL and even do quick visualizations on it.
Register for this course and see more details by visiting:
OpenCourser.com/course/mqb04u/working
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What's inside
Syllabus
Project Overview
By the end of this project, you will have run queries, performed visualizations and created a report on your big data using Google BigQuery. You will also learn how to save queries, views and reports from BigQuery while being able to share to anyone!
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Provides practical methods for working with and querying massive datasets using Google BigQuery
Facilitates quick visualizations for easy data interpretation
Teaches how to save queries, views, and reports for future reference and collaboration
Suitable for beginners seeking a solid foundation in BigQuery data analysis
Save this course
Save Working with BigQuery to your list so you can find it easily later:
Save
Save
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 Working with BigQuery with these
activities:
Review 'Google BigQuery: The Definitive Guide' by Valliappa Lakshmanan
Show steps
Expand your knowledge of Google BigQuery by reading a comprehensive guide that provides in-depth explanations and practical examples.
View
Data Science on the Google Cloud Platform
on Amazon
Show steps
-
Read the book thoroughly
-
Take notes and highlight important concepts
Join a study group focused on Google BigQuery
Show steps
Enhance your learning experience by collaborating with peers who share your interest in Google BigQuery, exchanging knowledge, and working on projects together.
Show steps
-
Identify potential study partners
-
Establish regular meeting times and discussion topics
Attend a Google BigQuery workshop
Show steps
Accelerate your learning by attending a workshop led by Google BigQuery experts, where you can gain hands-on experience and ask questions.
Show steps
-
Research and identify relevant workshops
-
Register and attend the workshop
Four other activities
Expand to see all activities and additional details
Show all seven activities
Follow tutorials on Google BigQuery
Show steps
Enhance your understanding of Google BigQuery by seeking guided instructions and tutorials that will reinforce your skills.
Show steps
-
Identify reliable sources for tutorials
-
Follow step-by-step instructions
Practice writing SQL queries
Show steps
Sharpen your SQL query-writing skills through repetitive practice to improve your proficiency with Google BigQuery.
Show steps
-
Identify a dataset to practice with
-
Write queries to extract, filter, and manipulate data
Develop a data visualization dashboard
Show steps
Solidify your understanding of data visualization techniques by creating an interactive dashboard that showcases your Google BigQuery skills.
Show steps
-
Choose a dataset that lends itself to visualization
-
Design a visually appealing and informative dashboard
-
Implement the dashboard using Google BigQuery and visualization tools
Develop a data analysis report using Google BigQuery
Show steps
Demonstrate your mastery of Google BigQuery by analyzing a dataset, generating insights, and presenting your findings in a professional report.
Show steps
-
Define the scope and objectives of the analysis
-
Gather and preprocess the data using Google BigQuery
-
Analyze the data and draw meaningful conclusions
-
Create a comprehensive report that effectively communicates your findings
Review 'Google BigQuery: The Definitive Guide' by Valliappa Lakshmanan
Show steps
Expand your knowledge of Google BigQuery by reading a comprehensive guide that provides in-depth explanations and practical examples.
View
Data Science on the Google Cloud Platform
on Amazon
Show steps
Show steps
Show steps
- Read the book thoroughly
- Take notes and highlight important concepts
Join a study group focused on Google BigQuery
Show steps
Enhance your learning experience by collaborating with peers who share your interest in Google BigQuery, exchanging knowledge, and working on projects together.
Show steps
Show steps
Show steps
- Identify potential study partners
- Establish regular meeting times and discussion topics
Attend a Google BigQuery workshop
Show steps
Accelerate your learning by attending a workshop led by Google BigQuery experts, where you can gain hands-on experience and ask questions.
Show steps
Show steps
Show steps
- Research and identify relevant workshops
- Register and attend the workshop
Four other activities
Expand to see all activities and additional details
Show all seven activities
Follow tutorials on Google BigQuery
Show steps
Enhance your understanding of Google BigQuery by seeking guided instructions and tutorials that will reinforce your skills.
Show steps
Show steps
Show steps
- Identify reliable sources for tutorials
- Follow step-by-step instructions
Practice writing SQL queries
Show steps
Sharpen your SQL query-writing skills through repetitive practice to improve your proficiency with Google BigQuery.
Show steps
Show steps
Show steps
- Identify a dataset to practice with
- Write queries to extract, filter, and manipulate data
Develop a data visualization dashboard
Show steps
Solidify your understanding of data visualization techniques by creating an interactive dashboard that showcases your Google BigQuery skills.
Show steps
Show steps
Show steps
- Choose a dataset that lends itself to visualization
- Design a visually appealing and informative dashboard
- Implement the dashboard using Google BigQuery and visualization tools
Develop a data analysis report using Google BigQuery
Show steps
Demonstrate your mastery of Google BigQuery by analyzing a dataset, generating insights, and presenting your findings in a professional report.
Show steps
Show steps
Show steps
- Define the scope and objectives of the analysis
- Gather and preprocess the data using Google BigQuery
- Analyze the data and draw meaningful conclusions
- Create a comprehensive report that effectively communicates your findings
Career center
Learners who complete Working with BigQuery will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
Data Analysts collect, clean, and analyze data to help businesses make informed decisions. This course can help you develop the skills you need to succeed in this role, including how to use SQL to query data, how to perform data visualization, and how to create reports. Taking this course can help you build a foundation for a successful career as a Data Analyst.
Data Scientist
Data Scientist
Data Scientists use their knowledge of statistics, mathematics, and programming to extract insights from data. This course can help you develop the skills you need to succeed in this role, including how to use SQL to query data, how to perform data visualization, and how to create reports. Taking this course can help you build a foundation for a successful career as a Data Scientist.
Data Engineer
Data Engineer
Data Engineers design, build, and maintain data pipelines. This course can help you develop the skills you need to succeed in this role, including how to use SQL to query data, how to perform data visualization, and how to create reports. Taking this course can help you build a foundation for a successful career as a Data Engineer.
Business Analyst
Business Analyst
Business Analysts use data to help businesses make informed decisions. This course can help you develop the skills you need to succeed in this role, including how to use SQL to query data, how to perform data visualization, and how to create reports. Taking this course can help you build a foundation for a successful career as a Business Analyst.
Product Manager
Product Manager
Product Managers are responsible for the development and launch of new products. This course can help you develop the skills you need to succeed in this role, including how to use SQL to query data, how to perform data visualization, and how to create reports. Taking this course can help you build a foundation for a successful career as a Product Manager.
Marketing Manager
Marketing Manager
Marketing Managers are responsible for developing and executing marketing campaigns. This course can help you develop the skills you need to succeed in this role, including how to use SQL to query data, how to perform data visualization, and how to create reports. Taking this course can help you build a foundation for a successful career as a Marketing Manager.
Sales Manager
Sales Manager
Sales Managers are responsible for leading and motivating sales teams. This course can help you develop the skills you need to succeed in this role, including how to use SQL to query data, how to perform data visualization, and how to create reports. Taking this course can help you build a foundation for a successful career as a Sales Manager.
Operations Manager
Operations Manager
Operations Managers are responsible for the day-to-day operations of a business. This course can help you develop the skills you need to succeed in this role, including how to use SQL to query data, how to perform data visualization, and how to create reports. Taking this course can help you build a foundation for a successful career as an Operations Manager.
Financial Analyst
Financial Analyst
Financial Analysts use data to help businesses make informed financial decisions. This course can help you develop the skills you need to succeed in this role, including how to use SQL to query data, how to perform data visualization, and how to create reports. Taking this course can help you build a foundation for a successful career as a Financial Analyst.
Consultant
Consultant
Consultants provide advice and guidance to businesses on a wide range of topics. This course can help you develop the skills you need to succeed in this role, including how to use SQL to query data, how to perform data visualization, and how to create reports. Taking this course can help you build a foundation for a successful career as a Consultant.
Entrepreneur
Entrepreneur
Entrepreneurs start and run their own businesses. This course can help you develop the skills you need to succeed in this role, including how to use SQL to query data, how to perform data visualization, and how to create reports. Taking this course can help you build a foundation for a successful career as an Entrepreneur.
Teacher
Teacher
Teachers educate students in a variety of subjects. This course can help you develop the skills you need to succeed in this role, including how to use SQL to query data, how to perform data visualization, and how to create reports. Taking this course can help you build a foundation for a successful career as a Teacher.
Librarian
Librarian
Librarians help people find and use information. This course can help you develop the skills you need to succeed in this role, including how to use SQL to query data, how to perform data visualization, and how to create reports. Taking this course can help you build a foundation for a successful career as a Librarian.
Journalist
Journalist
Journalists write and report news stories. This course can help you develop the skills you need to succeed in this role, including how to use SQL to query data, how to perform data visualization, and how to create reports. Taking this course can help you build a foundation for a successful career as a Journalist.
Writer
Writer
Writers create written content for a variety of purposes. This course can help you develop the skills you need to succeed in this role, including how to use SQL to query data, how to perform data visualization, and how to create reports. Taking this course can help you build a foundation for a successful career as a Writer.
For more career information including salaries, visit:
OpenCourser.com/course/mqb04u/working
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
Working with BigQuery.
A comprehensive reference for Hadoop, covering its architecture, components, and use cases. Provides detailed explanations and examples for implementing Hadoop solutions.
Save
Provides a practical guide to data visualization using Tableau, covering its features and techniques for creating effective visualizations.
An introduction to machine learning using R, covering its libraries, algorithms, and applications. Provides a hands-on approach to building and evaluating machine learning models.
A practical guide to deep learning using Python and its Keras library. Covers the fundamentals of deep learning and its applications in various domains.
Save
Provides a broad overview of cloud computing, covering its concepts, technologies, and architectures. Explores different cloud service models and their applications.
A beginner-friendly introduction to big data, covering its concepts, benefits, and applications. Explores different big data technologies and use cases.
Save
A technical guide to Apache Spark, a popular open-source framework for big data processing. Covers its architecture, APIs, and programming models.
Save
An introduction to data mining using R, covering its libraries, algorithms, and applications. Provides a practical approach to data mining techniques.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/mqb04u/working
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Effort
1 hour
Level
Introductory
Via
Coursera
Institution
Coursera Project Network
Instructor
Ikechukwu Nigel Ogbuchi
Language
English
Good to know
Provides practical methods for working with and querying massive datasets using Google BigQuery
Facilitates quick visualizations for easy data interpretation
Teaches how to save queries, views, and reports for future reference and collaboration
Suitable for beginners seeking a solid foundation in BigQuery data analysis
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