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Google Cloud Training
The third course in this course series is Achieving Advanced Insights with BigQuery. Here we will build on your growing knowledge of SQL as we dive into advanced functions and how to break apart a complex query into manageable steps.
Read more
The third course in this course series is Achieving Advanced Insights with BigQuery. Here we will build on your growing knowledge of SQL as we dive into advanced functions and how to break apart a complex query into manageable steps.
Read more
The third course in this course series is Achieving Advanced Insights with BigQuery. Here we will build on your growing knowledge of SQL as we dive into advanced functions and how to break apart a complex query into manageable steps.
We will cover the internal architecture of BigQuery (column-based sharded storage) and advanced SQL topics like nested and repeated fields through the use of Arrays and Structs. Lastly we will dive into optimizing your queries for performance and how you can secure your data through authorized views.
After completing this course, enroll in the Applying Machine Learning to your Data with Google Cloud course.
Register for this course and see more details by visiting:
OpenCourser.com/course/esl1z7/achieving
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What's inside
Syllabus
Introduction
Overview of what you will learn in this course
Advanced Functions and Clauses
Deepen your knowledge of SQL on BigQuery by learning about more advanced functions like statistical approximations, analytical window queries, user-defined functions, and WITH clauses.
Read more
Syllabus
Introduction
Overview of what you will learn in this course
Advanced Functions and Clauses
Deepen your knowledge of SQL on BigQuery by learning about more advanced functions like statistical approximations, analytical window queries, user-defined functions, and WITH clauses.
Read more
Schema Design and Nested Data Structures
Walkthrough the evolution of how traditional databases handle dataset scale and compare how BigQuery was developed to address scaling limitations. Deep dive into nested and repeated fields which are a key part of denormalized BigQuery data structures.
Optimizing for Performance
Learn the fundamental pieces of work that impact BigQuery performance and how to optimize your queries for speed.
Advanced Insights with Vertex AI Workbench
Introducing Vertex AI Workbench -- a key tool in the Data Scientist toolkit -- which enables analysts to collaborate through the use of scalable cloud notebooks.
Data Access
Securing and sharing your BigQuery datasets is critical for any organization. Learn what Google Cloud and BigQuery tools are available to you to permission control and share your data.
Summary
Summary of the course ley learning points
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Develops advanced SQL skills on BigQuery, including functions, clauses, schemas, and nested data structures, which are core skills for data analysts and engineers
Taught by Google Cloud Training, who are recognized for their work in cloud computing and data analytics
Examines advanced SQL topics and techniques that are highly relevant to data analysis and data engineering tasks
Prepares learners for the Applying Machine Learning to your Data with Google Cloud course, which is a logical next step for learners who want to build on their data analysis skills
Provides hands-on practice through labs and interactive materials, which helps learners reinforce their understanding of advanced SQL on BigQuery
May require learners to have some prior experience with SQL and data analysis, which could be a barrier for beginners
Save this course
Save Achieving Advanced Insights with BigQuery to your list so you can find it easily later:
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Reviews summary
Bigquery advanced insights
Learners largely agree that Achieving Advanced Insights with BigQuery is a useful course that provides valuable insights into BigQuery. They especially appreciate the engaging and informative instructor, the well-structured and easy-to-follow course content, and the practical exercises and labs. Overall, this course is highly recommended for those looking to enhance their skills in using BigQuery for data analysis and insights.
The course can be difficult, but it is worthwhile
"Fun but difficult"
"Amazing course . Some lectures should have had more exercises in lab for us to practise."
"The SQL gets pretty advanced in this stage of the specialization"
The instructor is knowledgeable and engaging
"The explanations were crystal clear."
"Very interesting topics, engaging instructor"
"The professor explains really well"
The exercises and labs are practical and helpful
"I really appreciated all of the labs that went along with this course."
"Amazing, really enjoyed all the material and I feel like I have learned a lot about all the google tools"
"I'm starting to feel confident that I'll be able to make use of the GCP for my own work."
The content is well-structured and informative
"It is a good platform to achieve advanced insights with bigquery"
"Very useful cpurse, thank you. Best insights: Data types (Struct, Array), BigQuery architecture and advantages."
"This course summed up everything that I learned from the previous two courses."
There may be some technical issues
"this course is a joke, the captcha doesn't work and suddenly my quota is exceeded..."
"The course content was good but there was a problem with audio quality. The audio was too low."
"I had trouble with multiple labs and the support team couldn't resolve the issue for me in time to finish before the due date."
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 Achieving Advanced Insights with BigQuery with these
activities:
Connect with experienced data professionals to seek guidance
Show steps
Gain valuable insights and support from industry experts
Show steps
-
Identify potential mentors through professional networks or online platforms
-
Reach out to mentors and schedule meetings or calls
-
Prepare questions and be receptive to feedback and guidance
Follow online tutorials on advanced SQL features in BigQuery
Show steps
Expand your knowledge by exploring additional resources and tutorials
Browse courses on
SQL
Show steps
-
Search for online tutorials covering advanced SQL features
-
Follow the tutorials step-by-step and experiment with the provided examples
-
Apply the learned techniques in your own projects or practice exercises
Complete SQL exercises and practice problems
Show steps
Sharpen your SQL skills through regular practice
Browse courses on
SQL
Show steps
-
Identify online platforms or textbooks with SQL exercises
-
Dedicate time to solving problems regularly
-
Review your solutions and identify areas for improvement
Three other activities
Expand to see all activities and additional details
Show all six activities
Create a blog post or article summarizing a course concept
Show steps
Enhance your understanding by explaining a topic to others in your own words
Browse courses on
SQL
Show steps
-
Choose a specific concept or technique covered in the course
-
Research and gather information to deepen your knowledge
-
Write a clear and concise summary in your own words
-
Share your blog post or article with others
Develop a small-scale project using BigQuery
Show steps
Apply your skills in a practical setting to reinforce your understanding of BigQuery
Browse courses on
BigQuery
Show steps
-
Identify a data set of interest and define project goals
-
Design a schema and load data into BigQuery
-
Write SQL queries to explore and analyze data
-
Visualize results and draw insights from the data
-
Document your project and share your findings
Complete code challenges and practice problems on optimization techniques
Show steps
Enhance your understanding of optimization techniques through hands-on practice
Browse courses on
Optimization
Show steps
-
Identify online platforms or resources with optimization challenges
-
Dedicate time to solving problems regularly
-
Review your solutions, compare them with others, and seek feedback
Connect with experienced data professionals to seek guidance
Show steps
Gain valuable insights and support from industry experts
Show steps
Show steps
Show steps
- Identify potential mentors through professional networks or online platforms
- Reach out to mentors and schedule meetings or calls
- Prepare questions and be receptive to feedback and guidance
Follow online tutorials on advanced SQL features in BigQuery
Show steps
Expand your knowledge by exploring additional resources and tutorials
Browse courses on
SQL
Show steps
Show steps
Show steps
- Search for online tutorials covering advanced SQL features
- Follow the tutorials step-by-step and experiment with the provided examples
- Apply the learned techniques in your own projects or practice exercises
Complete SQL exercises and practice problems
Show steps
Sharpen your SQL skills through regular practice
Browse courses on
SQL
Show steps
Show steps
Show steps
- Identify online platforms or textbooks with SQL exercises
- Dedicate time to solving problems regularly
- Review your solutions and identify areas for improvement
Three other activities
Expand to see all activities and additional details
Show all six activities
Create a blog post or article summarizing a course concept
Show steps
Enhance your understanding by explaining a topic to others in your own words
Browse courses on
SQL
Show steps
Show steps
Show steps
- Choose a specific concept or technique covered in the course
- Research and gather information to deepen your knowledge
- Write a clear and concise summary in your own words
- Share your blog post or article with others
Develop a small-scale project using BigQuery
Show steps
Apply your skills in a practical setting to reinforce your understanding of BigQuery
Browse courses on
BigQuery
Show steps
Show steps
Show steps
- Identify a data set of interest and define project goals
- Design a schema and load data into BigQuery
- Write SQL queries to explore and analyze data
- Visualize results and draw insights from the data
- Document your project and share your findings
Complete code challenges and practice problems on optimization techniques
Show steps
Enhance your understanding of optimization techniques through hands-on practice
Browse courses on
Optimization
Show steps
Show steps
Show steps
- Identify online platforms or resources with optimization challenges
- Dedicate time to solving problems regularly
- Review your solutions, compare them with others, and seek feedback
Career center
Learners who complete Achieving Advanced Insights with BigQuery will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
Data Scientists use large datasets to help businesses and organizations understand trends and make better decisions. BigQuery's nested and repeated fields -- which are a key part of denormalized data structures -- are often used by Data Scientists to track and manage these large datasets. This course would provide a great foundation for a career as a Data Scientist.
Data Analyst
Data Analyst
Data Analysts use data to solve business problems. Advanced SQL skills and an understanding of how to optimize queries for performance are in very high demand for Data Analysts. This course will help you use SQL on BigQuery to analyze data and learn how to optimize queries for better performance, making you a more desirable candidate in the job market.
Business Analyst
Business Analyst
Business Analysts use data to help businesses make better decisions. This course will help you develop the SQL skills needed to analyze data and understand how to optimize queries for better performance. This will make you a more desirable candidate for Business Analyst roles.
Data Engineer
Data Engineer
Data Engineers design and build the systems that store and process data. This course will help you develop the skills needed to design and build data systems that can handle large amounts of data. You will also learn how to optimize queries for performance, which is a key skill for Data Engineers.
Database Administrator
Database Administrator
Database Administrators manage and maintain databases. This course will help you develop the skills needed to manage and maintain BigQuery databases. You will also learn how to optimize queries for performance, which is a key skill for Database Administrators.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. This course will help you develop the skills needed to design and develop software applications that can handle large amounts of data. You will also learn how to optimize queries for performance, which is a key skill for Software Engineers.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design and build machine learning models. This course will help you develop the skills needed to design and build machine learning models that can handle large amounts of data. You will also learn how to optimize queries for performance, which is a key skill for Machine Learning Engineers.
Data Architect
Data Architect
Data Architects design and build data architectures. This course will help you develop the skills needed to design and build data architectures that can handle large amounts of data. You will also learn how to optimize queries for performance, which is a key skill for Data Architects.
Data Scientist Consultant
Data Scientist Consultant
Data Scientist Consultants help businesses and organizations use data to make better decisions. This course will help you develop the skills needed to advise businesses and organizations on how to use data to make better decisions. You will also learn how to optimize queries for performance, which is a key skill for Data Scientist Consultants.
Statistician
Statistician
Statisticians use data to solve problems. This course will help you develop the skills needed to use data to solve problems. You will also learn how to optimize queries for performance, which is a key skill for Statisticians.
Market Researcher
Market Researcher
Market Researchers use data to understand consumer behavior. This course will help you develop the skills needed to use data to understand consumer behavior. You will also learn how to optimize queries for performance, which is a key skill for Market Researchers.
Financial Analyst
Financial Analyst
Financial Analysts use data to make investment decisions. This course will help you develop the skills needed to use data to make investment decisions. You will also learn how to optimize queries for performance, which is a key skill for Financial Analysts.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use data to solve business problems. This course will help you develop the skills needed to use data to solve business problems. You will also learn how to optimize queries for performance, which is a key skill for Operations Research Analysts.
Economist
Economist
Economists use data to understand economic trends. This course will help you develop the skills needed to use data to understand economic trends. You will also learn how to optimize queries for performance, which is a key skill for Economists.
Actuary
Actuary
Actuaries use data to assess risk. This course will help you develop the skills needed to use data to assess risk. You will also learn how to optimize queries for performance, which is a key skill for Actuaries.
For more career information including salaries, visit:
OpenCourser.com/course/esl1z7/achieving
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
Achieving Advanced Insights with BigQuery.
Comprehensive guide to BigQuery, covering everything from basic concepts to advanced topics such as performance optimization and data governance.
Save
Provides a comprehensive overview of Google BigQuery, including its architecture, data model, and query language. It also covers advanced topics such as data ingestion, transformations, and visualizations.
Provides a collection of recipes for solving common problems with BigQuery, such as data ingestion, transformation, and analysis.
Provides a guide to using BigQuery for data warehousing, covering topics such as data modeling, data ingestion, and data analysis.
Provides a guide to using BigQuery for business intelligence, covering topics such as data analysis and visualization.
Provides a guide to using BigQuery for social media analytics, covering topics such as data analysis and reporting.
Provides a guide to using BigQuery for healthcare analytics, covering topics such as data analysis and reporting.
Provides a guide to using BigQuery for financial analytics, covering topics such as data analysis and reporting.
Provides a guide to using BigQuery for supply chain analytics, covering topics such as data analysis and reporting.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/esl1z7/achieving
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Effort
1 week of study, 5-7 hours/week
Level
Introductory
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Language
English
This course belongs to a
collection
called
From Data to Insights with Google Cloud. It's comprised of five courses:
- Géopolitique de l'Europe
- Applying Machine Learning to your Data with Google Cloud
- Achieving Advanced Insights with BigQuery (viewing)
- Creating New BigQuery Datasets and Visualizing Insights
- Exploring and Preparing your Data with BigQuery
Good to know
Develops advanced SQL skills on BigQuery, including functions, clauses, schemas, and nested data structures, which are core skills for data analysts and engineers
Taught by Google Cloud Training, who are recognized for their work in cloud computing and data analytics
Examines advanced SQL topics and techniques that are highly relevant to data analysis and data engineering tasks
Prepares learners for the Applying Machine Learning to your Data with Google Cloud course, which is a logical next step for learners who want to build on their data analysis skills
Provides hands-on practice through labs and interactive materials, which helps learners reinforce their understanding of advanced SQL on BigQuery
May require learners to have some prior experience with SQL and data analysis, which could be a barrier for beginners
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