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Google Cloud Training
BigQuery is Google's fully managed, NoOps, low-cost analytics database. With BigQuery you can query terabytes and terabytes of data without having any infrastructure to manage or needing a database administrator. BigQuery uses SQL and can take advantage of the pay-as-you-go model. BigQuery allows you to focus on analyzing data to find meaningful insights.
BigQuery Machine Learning (BQML, product in beta) is a new feature in BigQuery where data analysts can create, train, evaluate, and predict with machine learning models with minimal coding.
There is a newly available ecommerce dataset that has millions of Google Analytics...
Read more
BigQuery is Google's fully managed, NoOps, low-cost analytics database. With BigQuery you can query terabytes and terabytes of data without having any infrastructure to manage or needing a database administrator. BigQuery uses SQL and can take advantage of the pay-as-you-go model. BigQuery allows you to focus on analyzing data to find meaningful insights.
BigQuery Machine Learning (BQML, product in beta) is a new feature in BigQuery where data analysts can create, train, evaluate, and predict with machine learning models with minimal coding.
There is a newly available ecommerce dataset that has millions of Google Analytics...
Read more
BigQuery is Google's fully managed, NoOps, low-cost analytics database. With BigQuery you can query terabytes and terabytes of data without having any infrastructure to manage or needing a database administrator. BigQuery uses SQL and can take advantage of the pay-as-you-go model. BigQuery allows you to focus on analyzing data to find meaningful insights.
BigQuery Machine Learning (BQML, product in beta) is a new feature in BigQuery where data analysts can create, train, evaluate, and predict with machine learning models with minimal coding.
There is a newly available ecommerce dataset that has millions of Google Analytics records for the Google Merchandise Store loaded into BigQuery. In this Google Cloud Lab, you will use this data to run some typical queries that businesses would want to know about their customers' purchasing habits.
Note: you will have timed access to the online environment. You will need to complete the lab within the allotted time.
Register for this course and see more details by visiting:
OpenCourser.com/course/n0szmi/predict
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Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Suitable for those in the e-commerce industry looking to enhance their data analysis capabilities with BigQuery and machine learning
Assumes prior knowledge of SQL and data analysis concepts
Focuses on practical application with hands-on exercises using real-world data
Leverages Google Cloud's infrastructure, providing access to powerful computational resources
Instructors are Google Cloud Training experts with industry experience
Course materials include videos, readings, and interactive labs for a comprehensive learning experience
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Reviews summary
Introductory course on bigquery machine learning
This course introduces students to the basics of BigQuery Machine Learning (BQML), a feature of BigQuery that allows users to create, train, evaluate, and predict machine learning models without extensive coding. The course uses a large Google Analytics dataset to run typical queries that businesses use to understand their customers' purchasing habits.
Covers the basics of BQML.
"start a learning with BigQuery for ML."
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 Predict Visitor Purchases with a Classification Model in BQML with these
activities:
Gather BigQuery Resources
Show steps
Organizes and consolidates resources for easy reference and future use.
Show steps
-
Bookmark useful BigQuery documentation pages
-
Collect code snippets and examples from online forums
-
Create a personal knowledge base on BigQuery
Review SQL Fundamentals
Show steps
Refreshes essential SQL concepts to provide a strong foundation for the course.
Browse courses on
SQL
Show steps
-
Review SQL syntax and data types
-
Practice writing basic SQL queries
-
Execute SQL queries in a sandbox environment
Work through SQL Exercises
Show steps
Provides hands-on practice to reinforce SQL concepts covered in the course.
Show steps
-
Solve SQL exercises using online platforms
-
Attempt SQL puzzles and challenges
Five other activities
Expand to see all activities and additional details
Show all eight activities
Explore BigQuery Documentation
Show steps
Provides a deeper understanding of BigQuery's capabilities and features.
Show steps
-
Read the BigQuery documentation
-
Follow tutorials on using BigQuery features
-
Experiment with BigQuery's user interface
Participate in Study Groups
Show steps
Encourages collaboration, knowledge sharing, and different perspectives.
Show steps
-
Find or create a study group
-
Meet regularly to discuss course concepts
-
Work together on assignments and projects
Build a Simple BigQuery Dashboard
Show steps
Applies BigQuery skills to create a practical data visualization tool.
Show steps
-
Design the dashboard layout
-
Write SQL queries to extract relevant data
-
Create visualizations using BigQuery's built-in charting tools
-
Publish and share the dashboard
Answer Questions in BigQuery Forums
Show steps
Reinforces knowledge by helping others and builds a sense of community.
Show steps
-
Join BigQuery user forums
-
Monitor forums for questions
-
Provide helpful and accurate answers
Analyze a Real-World Dataset
Show steps
Provides practical experience in applying BigQuery to solve real-world problems.
Show steps
-
Identify a suitable dataset
-
Write SQL queries to explore the data
-
Create visualizations to present insights
-
Write a report summarizing the findings
Gather BigQuery Resources
Show steps
Organizes and consolidates resources for easy reference and future use.
Show steps
Show steps
Show steps
- Bookmark useful BigQuery documentation pages
- Collect code snippets and examples from online forums
- Create a personal knowledge base on BigQuery
Review SQL Fundamentals
Show steps
Refreshes essential SQL concepts to provide a strong foundation for the course.
Browse courses on
SQL
Show steps
Show steps
Show steps
- Review SQL syntax and data types
- Practice writing basic SQL queries
- Execute SQL queries in a sandbox environment
Work through SQL Exercises
Show steps
Provides hands-on practice to reinforce SQL concepts covered in the course.
Show steps
Show steps
Show steps
- Solve SQL exercises using online platforms
- Attempt SQL puzzles and challenges
Five other activities
Expand to see all activities and additional details
Show all eight activities
Explore BigQuery Documentation
Show steps
Provides a deeper understanding of BigQuery's capabilities and features.
Show steps
Show steps
Show steps
- Read the BigQuery documentation
- Follow tutorials on using BigQuery features
- Experiment with BigQuery's user interface
Participate in Study Groups
Show steps
Encourages collaboration, knowledge sharing, and different perspectives.
Show steps
Show steps
Show steps
- Find or create a study group
- Meet regularly to discuss course concepts
- Work together on assignments and projects
Build a Simple BigQuery Dashboard
Show steps
Applies BigQuery skills to create a practical data visualization tool.
Show steps
Show steps
Show steps
- Design the dashboard layout
- Write SQL queries to extract relevant data
- Create visualizations using BigQuery's built-in charting tools
- Publish and share the dashboard
Answer Questions in BigQuery Forums
Show steps
Reinforces knowledge by helping others and builds a sense of community.
Show steps
Show steps
Show steps
- Join BigQuery user forums
- Monitor forums for questions
- Provide helpful and accurate answers
Analyze a Real-World Dataset
Show steps
Provides practical experience in applying BigQuery to solve real-world problems.
Show steps
Show steps
Show steps
- Identify a suitable dataset
- Write SQL queries to explore the data
- Create visualizations to present insights
- Write a report summarizing the findings
Career center
Learners who complete Predict Visitor Purchases with a Classification Model in BQML will develop knowledge and skills
that may be useful to these careers:
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer is responsible for designing, building, and deploying machine learning models. This course can help Machine Learning Engineers develop the skills they need to use BigQuery Machine Learning to create and train machine learning models. Machine Learning Engineers who take this course can become more effective at building models that can solve business problems.
Data Analyst
Data Analyst
A Data Analyst is responsible for collecting, cleaning, and analyzing data to help businesses make informed decisions. This course can help Data Analysts develop the skills they need to use machine learning to analyze data and make predictions. Data Analysts who take this course can become more effective at identifying trends and patterns in data, which can help them to make better recommendations to businesses.
Data Scientist
Data Scientist
A Data Scientist is responsible for using data to solve business problems. This course can help Data Scientists develop the skills they need to use machine learning to analyze data and make predictions. Data Scientists who take this course can become more effective at identifying trends and patterns in data, which can help them to make better recommendations to businesses.
Business Analyst
Business Analyst
A Business Analyst is responsible for analyzing business data to identify opportunities for improvement. This course can help Business Analysts develop the skills they need to use machine learning to analyze data and make predictions. Business Analysts who take this course can become more effective at identifying trends and patterns in data, which can help them to make better recommendations to businesses.
Marketing Manager
Marketing Manager
A Marketing Manager is responsible for developing and executing marketing campaigns. This course can help Marketing Managers develop the skills they need to use machine learning to analyze data and make predictions. Marketing Managers who take this course can become more effective at targeting customers and developing campaigns that are more likely to be successful.
Operations Research Analyst
Operations Research Analyst
An Operations Research Analyst is responsible for using mathematical and statistical models to solve business problems. This course can help Operations Research Analysts develop the skills they need to use machine learning to analyze data and make predictions. Operations Research Analysts who take this course can become more effective at identifying opportunities for improvement and developing solutions that are more likely to be successful.
Sales Manager
Sales Manager
A Sales Manager is responsible for managing a team of salespeople and developing sales strategies. This course can help Sales Managers develop the skills they need to use machine learning to analyze data and make predictions. Sales Managers who take this course can become more effective at identifying sales opportunities and developing strategies that are more likely to be successful.
Quantitative Analyst
Quantitative Analyst
A Quantitative Analyst is responsible for using mathematical and statistical models to analyze financial data. This course can help Quantitative Analysts develop the skills they need to use machine learning to analyze data and make predictions. Quantitative Analysts who take this course can become more effective at identifying investment opportunities and making recommendations that are more likely to be profitable.
Product Manager
Product Manager
A Product Manager is responsible for managing the development and launch of new products. This course can help Product Managers develop the skills they need to use machine learning to analyze data and make predictions. Product Managers who take this course can become more effective at identifying customer needs and developing products that meet those needs.
Financial Analyst
Financial Analyst
A Financial Analyst is responsible for analyzing financial data to make investment recommendations. This course can help Financial Analysts develop the skills they need to use machine learning to analyze data and make predictions. Financial Analysts who take this course can become more effective at identifying investment opportunities and making recommendations that are more likely to be profitable.
Systems Analyst
Systems Analyst
A Systems Analyst is responsible for analyzing and designing computer systems. This course can help Systems Analysts develop the skills they need to use machine learning to analyze data and make predictions. Systems Analysts who take this course can become more effective at analyzing systems and designing systems that are more efficient and effective.
Data Architect
Data Architect
A Data Architect is responsible for designing and managing data systems. This course can help Data Architects develop the skills they need to use machine learning to analyze data and make predictions. Data Architects who take this course can become more effective at designing systems that can handle the large volumes of data that are generated by businesses today.
Software Engineer
Software Engineer
A Software Engineer is responsible for designing, developing, and testing software applications. This course can help Software Engineers develop the skills they need to use machine learning to analyze data and make predictions. Software Engineers who take this course can become more effective at designing and developing applications that are more efficient and effective.
Database Administrator
Database Administrator
A Database Administrator is responsible for managing databases. This course can help Database Administrators develop the skills they need to use machine learning to analyze data and make predictions. Database Administrators who take this course can become more effective at managing databases and ensuring that they are available and performant.
Network Administrator
Network Administrator
A Network Administrator is responsible for managing networks. This course can help Network Administrators develop the skills they need to use machine learning to analyze data and make predictions. Network Administrators who take this course can become more effective at managing networks and ensuring that they are available and performant.
For more career information including salaries, visit:
OpenCourser.com/course/n0szmi/predict
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
Predict Visitor Purchases with a Classification Model in BQML.
Provides a practical introduction to machine learning. It covers a wide range of topics, from the basics of machine learning to how it can be used to solve real-world problems. This book valuable resource for anyone interested in learning about machine learning.
Provides a comprehensive overview of big data analytics with R. It covers a wide range of topics, from data ingestion and preprocessing to model training and evaluation. This book valuable resource for anyone interested in using R for big data analytics.
Provides a comprehensive overview of machine learning with TensorFlow. It covers a wide range of topics, from the basics of TensorFlow to how it can be used to solve real-world problems. This book valuable resource for anyone interested in learning about machine learning with TensorFlow.
Save
Practical guide to using Python for big data analytics. It covers a wide range of topics, from data ingestion and preprocessing to model building and evaluation. This book valuable resource for anyone interested in using Python for big data analytics.
Provides a comprehensive overview of machine learning with Python. It covers a wide range of topics, from the basics of Python to how it can be used to solve real-world problems. This book valuable resource for anyone interested in learning about machine learning with Python.
Save
Provides a comprehensive overview of SQL, the query language used by BigQuery. It valuable resource for anyone who wants to learn more about SQL and how to use it effectively.
Provides a non-technical introduction to machine learning for business professionals. It covers a wide range of topics, from the basics of machine learning to how it can be used to solve real-world business problems. This book valuable resource for anyone interested in learning about machine learning for business.
Provides a non-technical introduction to machine learning. It covers a wide range of topics, from the basics of machine learning to how it can be used to solve real-world problems. This book valuable resource for anyone interested in learning about machine learning.
Save
Provides a comprehensive overview of predictive analytics, the process of using data to predict future events. It valuable resource for anyone who wants to learn more about predictive analytics and how to use it effectively.
Provides a practical guide to big data analytics, the process of using big data to solve business problems. It covers a wide range of topics, including data collection, data storage, and data analysis.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/n0szmi/predict
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Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Good to know
Suitable for those in the e-commerce industry looking to enhance their data analysis capabilities with BigQuery and machine learning
Assumes prior knowledge of SQL and data analysis concepts
Focuses on practical application with hands-on exercises using real-world data
Leverages Google Cloud's infrastructure, providing access to powerful computational resources
Instructors are Google Cloud Training experts with industry experience
Course materials include videos, readings, and interactive labs for a comprehensive learning experience
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