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Google Cloud Training

This is the second course in the Data to Insights course series. Here we will cover how to ingest new external datasets into BigQuery and visualize them with Looker Studio. We will also cover intermediate SQL concepts like multi-table JOINs and UNIONs which will allow you to analyze data across multiple data sources.

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This is the second course in the Data to Insights course series. Here we will cover how to ingest new external datasets into BigQuery and visualize them with Looker Studio. We will also cover intermediate SQL concepts like multi-table JOINs and UNIONs which will allow you to analyze data across multiple data sources.

Note: Even if you have a background in SQL, there are BigQuery specifics (like handling query cache and table wildcards) that may be new to you.

After completing this course, enroll in the Achieving Advanced Insights with BigQuery course.

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What's inside

Syllabus

Course Introduction
Overview of what you will learn in this course
Storing and Exporting Data
Create new permanent and temporary tables from your query results
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Ingesting New Datasets into BigQuery
Load and create new datasets inside BigQuery
Joining and Merging Datasets
Understand the differences between SQL JOINs and UNIONs and when to use each
Data Visualization
Create dashboards and visualizations with Looker Studio
Course Summary
Summary of the course ley learning points

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Teaches intermediate SQL, a skillset used across data science, data analysis, and business intelligence
Instructors are from Google Cloud Training, which has experience with the subject matter
Part of a series, providing potential for comprehensive learning
May require learners to come in with some SQL experience

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Reviews summary

Big query basics for data visualization

learners say this course is a useful introduction to using BigQuery to visualize insights. They remark on the hands-on nature of the course and appreciate the provided labs where they can practice new skills. Some learners mention that they had some difficulty with the outdated labs and differing UI between the course videos and actual product, but overall, this course is well-received for its informative and easy-to-understand content.
Supplemental datasets and exercises
"It taught me, however, that my knowledege of SQL, especially regarding partition tables, wasn´t as good as desired."
Reinforce concepts
"Hands-on experience"
"5 of my QwikLabs were generated error message when I tried to open the tool."
Easy-to-understand explanations
"The explanation is easy to understand, and provided step by step."
"While I think the course is excellent and labs reinforce key concepts"
Outdated and different versions of tools
"The labs are with an older version of BQ/Data Studio which is sometimes confusing"
"Many discrepancies between labs, real products and solution videos."
"Visualization lab didn't match with the actual solution that was posted."

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 Creating New BigQuery Datasets and Visualizing Insights with these activities:
Review the course materials on SQL JOINs and UNIONs
Reviewing the course materials on SQL JOINs and UNIONs will help solidify your understanding of these concepts before moving on to more advanced topics.
Browse courses on SQL
Show steps
  • Reread the course notes on SQL JOINs and UNIONs.
  • Review the examples provided in the course materials.
Create a cheat sheet of SQL JOINs and UNIONs
Creating a cheat sheet will serve as a handy reference for the syntax and usage of SQL JOINs and UNIONs, making it easier to apply these concepts in your future work.
Browse courses on SQL
Show steps
  • Gather information about SQL JOINs and UNIONs.
  • Create a document or spreadsheet to use as a cheat sheet.
  • Add the information you gathered to your cheat sheet.
Join a study group and discuss SQL JOINs and UNIONs
Joining a study group and discussing SQL JOINs and UNIONs will allow you to learn from others and get feedback on your understanding.
Browse courses on SQL
Show steps
  • Find a study group to join.
  • Attend the study group meetings.
  • Participate in the discussions about SQL JOINs and UNIONs.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Follow a tutorial on SQL JOINs and UNIONs
Following a tutorial on SQL JOINs and UNIONs will help you solidify your understanding of these concepts and how to use them effectively.
Browse courses on SQL
Show steps
  • Find a tutorial on SQL JOINs and UNIONs.
  • Follow the steps in the tutorial.
  • Try out the JOINs and UNIONs you learned in the tutorial on your own data.
Practice writing SQL queries using JOINs and UNIONs
Practicing writing SQL queries using JOINs and UNIONs will help you improve your proficiency in these skills.
Browse courses on SQL
Show steps
  • Find a dataset to practice on.
  • Write a series of SQL queries using JOINs and UNIONs to extract and combine data from the dataset.
  • Review your queries and make sure they are correct.
Practice writing SQL queries using JOINs and UNIONs
Practicing writing SQL queries using JOINs and UNIONs will help you improve your proficiency in these skills.
Browse courses on SQL
Show steps
  • Find a dataset to practice on.
  • Write a series of SQL queries using JOINs and UNIONs to extract and combine data from the dataset.
  • Review your queries and make sure they are correct.
Create a BigQuery dashboard
Creating a BigQuery dashboard will allow you to practice your data visualization skills and gain a deeper understanding of the data you are working with.
Browse courses on Data Visualization
Show steps
  • Connect to your BigQuery dataset.
  • Create a new dashboard.
  • Add charts and graphs to your dashboard.
  • Share your dashboard with others.
Create a BigQuery dashboard
Creating a BigQuery dashboard will allow you to practice your data visualization skills and gain a deeper understanding of the data you are working with.
Browse courses on Data Visualization
Show steps
  • Connect to your BigQuery dataset.
  • Create a new dashboard.
  • Add charts and graphs to your dashboard.
  • Share your dashboard with others.

Career center

Learners who complete Creating New BigQuery Datasets and Visualizing Insights will develop knowledge and skills that may be useful to these careers:
Data Analyst
A Data Analyst helps companies make informed decisions by collecting, analyzing, and visualizing data. This course can help you develop the technical skills needed to succeed in this role, such as SQL, data visualization, and data ingestion. Additionally, the course will help you understand the business context of data analysis, which is essential for communicating your findings effectively.
Business Analyst
A Business Analyst helps organizations improve their performance by analyzing business processes and identifying areas for improvement. This course can help you develop the analytical and problem-solving skills needed to succeed in this role. Additionally, the course will help you understand how to use data to make informed decisions.
Data Engineer
A Data Engineer designs and builds the systems that store and process data. This course can help you develop the technical skills needed to succeed in this role, such as data modeling, data integration, and data warehousing. Additionally, the course will help you understand the business context of data engineering, which is essential for communicating your findings effectively.
Data Scientist
A Data Scientist uses data to solve complex business problems. This course can help you develop the technical skills needed to succeed in this role, such as machine learning, statistics, and data visualization. Additionally, the course will help you understand the business context of data science, which is essential for communicating your findings effectively.
Data Visualization Specialist
A Data Visualization Specialist creates visual representations of data to help others understand complex information. This course can help you develop the technical skills needed to succeed in this role, such as data visualization, data storytelling, and data exploration. Additionally, the course will help you understand the business context of data visualization, which is essential for communicating your findings effectively.
Information Architect
An Information Architect designs and organizes information systems. This course can help you develop the technical skills needed to succeed in this role, such as data modeling, information retrieval, and information governance. Additionally, the course will help you understand the business context of information architecture, which is essential for communicating your findings effectively.
Database Administrator
A Database Administrator manages and maintains databases. This course can help you develop the technical skills needed to succeed in this role, such as database design, database optimization, and database security. Additionally, the course will help you understand the business context of database administration, which is essential for communicating your findings effectively.
Software Engineer
A Software Engineer designs, develops, and maintains software applications. This course may be useful in helping you develop the technical skills needed to succeed in this role, such as data structures, algorithms, and software design. Additionally, the course will help you understand the business context of software engineering, which is essential for communicating your findings effectively.
Financial Analyst
A Financial Analyst analyzes financial data to make investment recommendations. This course may be useful in helping you develop the technical skills needed to succeed in this role, such as financial modeling, data analysis, and risk management. Additionally, the course will help you understand the business context of financial analysis, which is essential for communicating your findings effectively.
Product Manager
A Product Manager manages the development and launch of new products. This course may be useful in helping you develop the business skills needed to succeed in this role, such as product planning, market research, and customer relationship management. Additionally, the course will help you understand the technical aspects of product management, which is essential for communicating with engineers and other stakeholders.
Operations Manager
An Operations Manager plans and executes operational processes. This course may be useful in helping you develop the business skills needed to succeed in this role, such as process improvement, supply chain management, and quality control. Additionally, the course will help you understand the technical aspects of operations management, such as data analysis and project management, which is essential for communicating with operations teams and other stakeholders.
Marketing Manager
A Marketing Manager plans and executes marketing campaigns. This course may be useful in helping you develop the business skills needed to succeed in this role, such as market research, customer segmentation, and campaign management. Additionally, the course will help you understand the technical aspects of marketing, such as data analysis and digital marketing, which is essential for communicating with marketing teams and other stakeholders.
Sales Manager
A Sales Manager leads and manages a sales team. This course may be useful in helping you develop the business skills needed to succeed in this role, such as sales strategy, customer relationship management, and team management. Additionally, the course will help you understand the technical aspects of sales, such as data analysis and CRM systems, which is essential for communicating with sales teams and other stakeholders.
Project Manager
A Project Manager plans and executes projects. This course may be useful in helping you develop the business skills needed to succeed in this role, such as project planning, risk management, and stakeholder management. Additionally, the course will help you understand the technical aspects of project management, such as data analysis and project management software, which is essential for communicating with project teams and other stakeholders.
Consultant
A Consultant provides professional advice to clients. This course may be useful in helping you develop the business skills needed to succeed in this role, such as problem solving, communication, and client relationship management. Additionally, the course will help you understand the technical aspects of consulting, such as data analysis and project management, which is essential for communicating with clients and other stakeholders.

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 Creating New BigQuery Datasets and Visualizing Insights.
Provides a comprehensive overview of BigQuery, including its architecture, features, and best practices. It valuable resource for anyone who wants to learn more about BigQuery and how to use it effectively.
Provides a comprehensive overview of big data analytics, with a focus on using R and Hadoop. It valuable resource for anyone who wants to learn more about big data analytics or who wants to use R and Hadoop for big data projects.
Provides a practical introduction to data visualization. It covers the basics of data visualization, as well as more advanced topics such as interactive visualization and storytelling with data.
This accessible introduction to data visualization covers the principles, techniques, and best practices for creating effective visual representations of data. It provides a strong foundation for understanding and using visualization in BigQuery and Looker Studio.
This official Google Cloud training guide provides a comprehensive overview of data analytics on Google Cloud Platform. It covers data ingestion, storage, processing, and visualization, including a focus on BigQuery and Looker Studio.
Provides a comprehensive guide to data visualization, with a focus on using Python and JavaScript. It valuable resource for anyone who wants to learn more about data visualization or who wants to use Python and JavaScript for data visualization projects.
This practical guide to data visualization best practices provides a comprehensive overview of the principles and techniques for creating effective and engaging visualizations. It offers valuable insights for using visualization effectively in BigQuery and Looker Studio.
This practical guide to big data analytics with Hadoop and Spark provides a strong foundation for understanding the fundamentals of data processing and analytics. It offers valuable insights into the role of BigQuery as a data warehouse and Looker Studio as a visualization tool.
This practical guide to data science provides a business-oriented perspective on data analysis and decision-making. It offers valuable insights into the role of data visualization in communicating insights effectively to stakeholders.
This accessible introduction to data science with Python provides a strong foundation for understanding the basics of data analysis and visualization. It offers valuable insights into the role of Python in the BigQuery and Looker Studio ecosystem.

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