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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 a newly available ecommerce dataset to run some typical queries that businesses would want to know about their customers’ purchasing habits.
Register for this course and see more details by visiting:
OpenCourser.com/course/lxur5w/predict
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What's inside
Syllabus
Predict Visitor Purchases with a Classification Model in BQML
In this lab you will use a newly available ecommerce dataset to run some typical queries that businesses would want to know about their customers’ purchasing habits.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Teaches core skills used in industry
Develops skills that are useful for personal growth and development
Provides hands-on experience through labs and interactive materials
Builds a strong foundation for beginners and strengthens existing foundations for intermediate learners
Takes a creative approach to the topic
Requires knowledge of other software or programming versions
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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 Predict Visitor Purchases with a Classification Model in BQML with these
activities:
Review fundamental data analysis concepts
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Review foundational data analysis concepts before beginning the course to ensure better preparedness and success.
Browse courses on
Data Analysis
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Research and review online resources
-
Practice working with basic data analysis tools
-
Complete practice exercises
Participate in study groups or discussion forums on BigQuery ML
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Engage in peer-to-peer learning through study groups or discussion forums to reinforce concepts and broaden perspectives.
Browse courses on
BigQuery ML
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-
Find and join relevant study groups or discussion forums
-
Actively participate in discussions and share your own knowledge
-
Seek support and guidance from others
-
Provide feedback and support to fellow learners
Follow tutorials on using BigQuery ML
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Complete guided tutorials on using BigQuery ML to gain hands-on experience and solidify understanding.
Browse courses on
BigQuery ML
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Find and select relevant tutorials
-
Follow the tutorials hands-on
-
Experiment with different parameters and scenarios
-
Document your findings and learnings
Three other activities
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Show all six activities
Solve practice problems and exercises on BigQuery ML
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Solve practice problems to reinforce understanding of BigQuery ML concepts and improve problem-solving skills.
Browse courses on
BigQuery ML
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Find and collect practice problems
-
Attempt to solve the problems independently
-
Review and analyze your solutions
-
Seek help or clarification when needed
Write a summary of online resources for data analysis with BigQuery
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Create a summary of online resources for data analysis with BigQuery to enhance understanding and retention.
Browse courses on
Data Analysis
Show steps
-
Research and gather relevant online resources
-
Summarize key concepts and findings
-
Organize and present the information in a clear and concise format
-
Share your summary with others for feedback and discussion
Build a data visualization dashboard using BigQuery ML
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Create a data visualization dashboard using BigQuery ML to demonstrate practical application and enhance data storytelling skills.
Browse courses on
Data Visualization
Show steps
-
Gather and prepare the necessary data
-
Design and implement the data visualization dashboard
-
Analyze the data and identify insights
-
Present your findings and insights effectively
Review fundamental data analysis concepts
Show steps
Review foundational data analysis concepts before beginning the course to ensure better preparedness and success.
Browse courses on
Data Analysis
Show steps
Show steps
Show steps
- Research and review online resources
- Practice working with basic data analysis tools
- Complete practice exercises
Participate in study groups or discussion forums on BigQuery ML
Show steps
Engage in peer-to-peer learning through study groups or discussion forums to reinforce concepts and broaden perspectives.
Browse courses on
BigQuery ML
Show steps
Show steps
Show steps
- Find and join relevant study groups or discussion forums
- Actively participate in discussions and share your own knowledge
- Seek support and guidance from others
- Provide feedback and support to fellow learners
Follow tutorials on using BigQuery ML
Show steps
Complete guided tutorials on using BigQuery ML to gain hands-on experience and solidify understanding.
Browse courses on
BigQuery ML
Show steps
Show steps
Show steps
- Find and select relevant tutorials
- Follow the tutorials hands-on
- Experiment with different parameters and scenarios
- Document your findings and learnings
Three other activities
Expand to see all activities and additional details
Show all six activities
Solve practice problems and exercises on BigQuery ML
Show steps
Solve practice problems to reinforce understanding of BigQuery ML concepts and improve problem-solving skills.
Browse courses on
BigQuery ML
Show steps
Show steps
Show steps
- Find and collect practice problems
- Attempt to solve the problems independently
- Review and analyze your solutions
- Seek help or clarification when needed
Write a summary of online resources for data analysis with BigQuery
Show steps
Create a summary of online resources for data analysis with BigQuery to enhance understanding and retention.
Browse courses on
Data Analysis
Show steps
Show steps
Show steps
- Research and gather relevant online resources
- Summarize key concepts and findings
- Organize and present the information in a clear and concise format
- Share your summary with others for feedback and discussion
Build a data visualization dashboard using BigQuery ML
Show steps
Create a data visualization dashboard using BigQuery ML to demonstrate practical application and enhance data storytelling skills.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Gather and prepare the necessary data
- Design and implement the data visualization dashboard
- Analyze the data and identify insights
- Present your findings and insights effectively
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
Machine Learning Engineers design, build, and deploy machine learning models. This course can help you build a foundation in machine learning by teaching you how to use SQL, Python, and other tools to build and evaluate machine learning models. You will also learn how to deploy machine learning models to production systems.
Data Analyst
Data Analyst
As a Data Analyst, you will be responsible for collecting, cleaning, and analyzing data to help businesses make informed decisions. This course can help you build a foundation in data analysis by teaching you how to use SQL and other tools to extract insights from data. You will also learn how to create and interpret data visualizations that can help communicate your findings to stakeholders.
Data Scientist
Data Scientist
Data Scientists use their knowledge of statistics, machine learning, and other data analysis techniques to solve business problems. This course can help you build a foundation in data science by teaching you how to use SQL, Python, and other tools to extract insights from data. You will also learn how to create and interpret data visualizations that can help communicate your findings to stakeholders.
Product Manager
Product Manager
Product Managers are responsible for managing the development and launch of new products. This course can help you build a foundation in product management by teaching you how to use data to understand customer needs and develop products that meet those needs.
Business Analyst
Business Analyst
Business Analysts help businesses identify and solve problems by using data and analysis. This course can help you build a foundation in business analysis by teaching you how to use SQL and other tools to extract insights from data. You will also learn how to create and interpret data visualizations that can help communicate your findings to stakeholders.
Marketing Analyst
Marketing Analyst
Marketing Analysts help businesses understand their customers and develop marketing campaigns that are effective at reaching them. This course can help you build a foundation in marketing analytics by teaching you how to use SQL and other tools to extract insights from data. You will also learn how to create and interpret data visualizations that can help communicate your findings to stakeholders.
Operations Analyst
Operations Analyst
Operations Analysts help businesses improve their operations by using data to identify and solve problems. This course can help you build a foundation in operations analysis by teaching you how to use SQL and other tools to extract insights from data. You will also learn how to create and interpret data visualizations that can help communicate your findings to stakeholders.
Financial Analyst
Financial Analyst
Financial Analysts help businesses make informed decisions about their finances. This course can help you build a foundation in financial analysis by teaching you how to use SQL and other tools to extract insights from data. You will also learn how to create and interpret data visualizations that can help communicate your findings to stakeholders.
Risk Analyst
Risk Analyst
Risk Analysts help businesses identify and manage risks. This course can help you build a foundation in risk analysis by teaching you how to use SQL and other tools to extract insights from data. You will also learn how to create and interpret data visualizations that can help communicate your findings to stakeholders.
Statistician
Statistician
Statisticians collect, analyze, and interpret data to help businesses make informed decisions. This course can help you build a foundation in statistics by teaching you how to use SQL and other tools to extract insights from data. You will also learn how to create and interpret data visualizations that can help communicate your findings to stakeholders.
Data Engineer
Data Engineer
Data Engineers design, build, and maintain data pipelines that allow businesses to store, process, and analyze data. This course can help you build a foundation in data engineering by teaching you how to use SQL and other tools to extract insights from data. You will also learn how to create and interpret data visualizations that can help communicate your findings to stakeholders.
Software Engineer
Software Engineer
Software Engineers design, build, and maintain software applications. This course can help you build a foundation in software engineering by teaching you how to use SQL and other tools to extract insights from data. You will also learn how to create and interpret data visualizations that can help communicate your findings to stakeholders.
Business Intelligence Analyst
Business Intelligence Analyst
Business Intelligence Analysts use data to help businesses make informed decisions. This course can help you build a foundation in business intelligence by teaching you how to use SQL and other tools to extract insights from data. You will also learn how to create and interpret data visualizations that can help communicate your findings to stakeholders.
Data Architect
Data Architect
Data Architects design and implement data management solutions for businesses. This course can help you build a foundation in data architecture by teaching you how to use SQL and other tools to extract insights from data. You will also learn how to create and interpret data visualizations that can help communicate your findings to stakeholders.
Database Administrator
Database Administrator
Database Administrators design, build, and maintain databases. This course can help you build a foundation in database administration by teaching you how to use SQL and other tools to extract insights from data. You will also learn how to create and interpret data visualizations that can help communicate your findings to stakeholders.
For more career information including salaries, visit:
OpenCourser.com/course/lxur5w/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 comprehensive overview of big data analytics techniques and their applications in various industries.
Provides a detailed guide to machine learning algorithms and their implementation using big data tools like Hadoop and Spark.
A practical guide to machine learning techniques using real-world examples and case studies.
Provides a comprehensive overview of Bayesian statistics and its applications in machine learning.
Save
A comprehensive textbook on data mining techniques and algorithms, commonly used as a reference in academic and professional settings.
A comprehensive guide to machine learning using Python, covering a range of topics including data preparation, feature engineering, and model evaluation.
Provides a comprehensive overview of machine learning algorithms and techniques using R.
A practical guide to deep learning using Python, covering a range of topics including neural networks and computer vision.
An introduction to natural language processing using Python, covering a range of topics including text classification and named entity recognition.
A comprehensive textbook on speech and language processing, covering a wide range of topics including acoustic modeling and language modeling.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/lxur5w/predict
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Effort
1 hour
Level
Intermediate
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Language
English
Good to know
Teaches core skills used in industry
Develops skills that are useful for personal growth and development
Provides hands-on experience through labs and interactive materials
Builds a strong foundation for beginners and strengthens existing foundations for intermediate learners
Takes a creative approach to the topic
Requires knowledge of other software or programming versions
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