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Google Cloud Training
This is a self-paced lab that takes place in the Google Cloud console.
Explore financial transactions data for fraud analysis, apply feature engineering and machine learning techniques to detect fraudulent activities using BigQuery ML.
Register for this course and see more details by visiting:
OpenCourser.com/course/v016fw/fraud
What's inside
Syllabus
Fraud Detection on Financial Transactions with Machine Learning on Google Cloud
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Develops fraud detection and machine learning skills, which are core capabilities for IT and data science professionals
Uses hands-on labs and interactive materials, which helps learners apply concepts in practice
Taught by Google Cloud Training, who are recognized for their expertise in cloud computing and machine learning
Students should have basic knowledge of Python and SQL, which may require additional learning for some beginners
Save this course
Save Fraud Detection on Financial Transactions with Machine Learning on Google Cloud to your list so you can find it easily later:
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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 Fraud Detection on Financial Transactions with Machine Learning on Google Cloud with these
activities:
Organize Course Resources
Show steps
Establish a strong foundation for learning by organizing the materials provided in this course, enabling you to easily access and review them throughout your learning journey.
Show steps
-
Create a dedicated folder or notebook for course materials
-
Categorize and arrange notes, assignments, and other resources
-
Utilize digital tools or physical methods to maintain organization
Explore Google Cloud Platform Documentation
Show steps
Familiarize yourself with the Google Cloud Platform documentation to gain a deeper understanding of the services and tools used in this course, enhancing your ability to navigate and utilize them effectively.
Browse courses on
Google Cloud Platform
Show steps
-
Review the documentation for BigQuery, BigQuery ML, and related services
-
Explore code samples and troubleshooting guides
-
Search for specific topics and concepts related to fraud detection and machine learning
Review Machine Learning Fundamentals
Show steps
Refresh your knowledge of machine learning fundamentals to enhance your understanding of the concepts and techniques used in this course.
Browse courses on
Machine Learning
Show steps
-
Review basic machine learning concepts, such as supervised and unsupervised learning
-
Revise common machine learning algorithms and their applications
-
Practice solving machine learning problems using online resources or textbooks
Four other activities
Expand to see all activities and additional details
Show all seven activities
Practice Feature Engineering Techniques
Show steps
Develop proficiency in feature engineering techniques by practicing on real-world financial data, enhancing your ability to extract meaningful insights.
Browse courses on
Feature Engineering
Show steps
-
Identify and select relevant features from the financial data
-
Apply data transformations and normalization to prepare the data for modeling
-
Create new features based on domain knowledge and exploratory data analysis
-
Validate the effectiveness of the engineered features through experimentation
Attend a Google Cloud Platform Workshop
Show steps
Enhance your practical skills and gain insights from experts by attending a Google Cloud Platform workshop, deepening your understanding of the technologies used in this course.
Browse courses on
Google Cloud Platform
Show steps
-
Identify and register for a relevant Google Cloud Platform workshop
-
Attend the workshop and actively participate in hands-on exercises
-
Network with industry professionals and learn about best practices
Build a Fraud Detection Model
Show steps
Solidify your understanding of fraud detection by constructing a machine learning model using BigQuery ML, empowering you to detect fraudulent activities with greater accuracy.
Browse courses on
Fraud Detection
Show steps
-
Select and prepare the training data for the model
-
Choose an appropriate machine learning algorithm and tune its hyperparameters
-
Train and evaluate the model's performance
-
Deploy the model to detect fraud in real-time or batch scenarios
Participate in a Study Group
Show steps
Collaborate with fellow learners by participating in a study group, fostering a deeper understanding of the course material through discussions and shared perspectives.
Show steps
-
Create or join a study group with other course participants
-
Meet regularly to discuss course content, share ideas, and solve problems
-
Collaborate on assignments and projects to enhance learning
Organize Course Resources
Show steps
Establish a strong foundation for learning by organizing the materials provided in this course, enabling you to easily access and review them throughout your learning journey.
Show steps
Show steps
Show steps
- Create a dedicated folder or notebook for course materials
- Categorize and arrange notes, assignments, and other resources
- Utilize digital tools or physical methods to maintain organization
Explore Google Cloud Platform Documentation
Show steps
Familiarize yourself with the Google Cloud Platform documentation to gain a deeper understanding of the services and tools used in this course, enhancing your ability to navigate and utilize them effectively.
Browse courses on
Google Cloud Platform
Show steps
Show steps
Show steps
- Review the documentation for BigQuery, BigQuery ML, and related services
- Explore code samples and troubleshooting guides
- Search for specific topics and concepts related to fraud detection and machine learning
Review Machine Learning Fundamentals
Show steps
Refresh your knowledge of machine learning fundamentals to enhance your understanding of the concepts and techniques used in this course.
Browse courses on
Machine Learning
Show steps
Show steps
Show steps
- Review basic machine learning concepts, such as supervised and unsupervised learning
- Revise common machine learning algorithms and their applications
- Practice solving machine learning problems using online resources or textbooks
Four other activities
Expand to see all activities and additional details
Show all seven activities
Practice Feature Engineering Techniques
Show steps
Develop proficiency in feature engineering techniques by practicing on real-world financial data, enhancing your ability to extract meaningful insights.
Browse courses on
Feature Engineering
Show steps
Show steps
Show steps
- Identify and select relevant features from the financial data
- Apply data transformations and normalization to prepare the data for modeling
- Create new features based on domain knowledge and exploratory data analysis
- Validate the effectiveness of the engineered features through experimentation
Attend a Google Cloud Platform Workshop
Show steps
Enhance your practical skills and gain insights from experts by attending a Google Cloud Platform workshop, deepening your understanding of the technologies used in this course.
Browse courses on
Google Cloud Platform
Show steps
Show steps
Show steps
- Identify and register for a relevant Google Cloud Platform workshop
- Attend the workshop and actively participate in hands-on exercises
- Network with industry professionals and learn about best practices
Build a Fraud Detection Model
Show steps
Solidify your understanding of fraud detection by constructing a machine learning model using BigQuery ML, empowering you to detect fraudulent activities with greater accuracy.
Browse courses on
Fraud Detection
Show steps
Show steps
Show steps
- Select and prepare the training data for the model
- Choose an appropriate machine learning algorithm and tune its hyperparameters
- Train and evaluate the model's performance
- Deploy the model to detect fraud in real-time or batch scenarios
Participate in a Study Group
Show steps
Collaborate with fellow learners by participating in a study group, fostering a deeper understanding of the course material through discussions and shared perspectives.
Show steps
Show steps
Show steps
- Create or join a study group with other course participants
- Meet regularly to discuss course content, share ideas, and solve problems
- Collaborate on assignments and projects to enhance learning
Career center
Learners who complete Fraud Detection on Financial Transactions with Machine Learning on Google Cloud will develop knowledge and skills
that may be useful to these careers:
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design and build machine learning models. They use a variety of techniques to train and evaluate models, including supervised learning, unsupervised learning, and reinforcement learning. This course can help you develop the skills needed to be a successful Machine Learning Engineer by teaching you how to use machine learning techniques to detect fraudulent activities in financial transactions. This is a valuable skill for Machine Learning Engineers, as it can help them develop models that can identify and prevent fraud, which can save businesses money and protect their customers.
Data Scientist
Data Scientist
Data Scientists use data to solve business problems. They use a variety of techniques to analyze data, including machine learning, statistics, and data visualization. This course can help you develop the skills needed to be a successful Data Scientist by teaching you how to use machine learning techniques to detect fraudulent activities in financial transactions. This is a valuable skill for Data Scientists, as it can help them develop models that can identify and prevent fraud, which can save businesses money and protect their customers.
Fraud Analyst
Fraud Analyst
Fraud Analysts investigate and prevent fraud. They use a variety of techniques to identify and stop fraudulent activities, including machine learning. This course can help you develop the skills needed to be a successful Fraud Analyst by teaching you how to use machine learning techniques to detect fraudulent activities in financial transactions. This is a valuable skill for Fraud Analysts, as it can help them identify and prevent fraud, which can save businesses money and protect their customers.
Financial Crime Analyst
Financial Crime Analyst
Financial Crime Analysts investigate and prevent financial crimes. They use a variety of techniques to identify and stop financial crimes, including machine learning. This course can help you develop the skills needed to be a successful Financial Crime Analyst by teaching you how to use machine learning techniques to detect fraudulent activities in financial transactions. This is a valuable skill for Financial Crime Analysts, as it can help them identify and prevent fraud, which can save businesses money and protect their customers.
Data Analyst
Data Analyst
Data Analysts collect and interpret data to help businesses make informed decisions. The analysis done by Data Analysts can help businesses improve their operations, marketing, and customer service. This course can help you develop the skills needed to be a successful Data Analyst by teaching you how to use machine learning techniques to detect fraudulent activities in financial transactions. This is a valuable skill for Data Analysts, as it can help them identify and prevent fraud, which can save businesses money and protect their customers.
Information Security Analyst
Information Security Analyst
Information Security Analysts protect businesses from information security breaches. They use a variety of techniques to identify and stop information security breaches, including machine learning. This course can help you develop the skills needed to be a successful Information Security Analyst by teaching you how to use machine learning techniques to detect fraudulent activities in financial transactions. This is a valuable skill for Information Security Analysts, as it can help them identify and prevent fraud, which can save businesses money and protect their customers.
Risk Analyst
Risk Analyst
Risk Analysts identify and assess risks to businesses. They use a variety of techniques to evaluate risks, including machine learning. This course can help you develop the skills needed to be a successful Risk Analyst by teaching you how to use machine learning techniques to detect fraudulent activities in financial transactions. This is a valuable skill for Risk Analysts, as it can help them identify and prevent fraud, which can save businesses money and protect their customers.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use mathematical and statistical models to analyze financial data. They use these models to make investment decisions and to manage risk. This course can help you develop the skills needed to be a successful Quantitative Analyst by teaching you how to use machine learning techniques to detect fraudulent activities in financial transactions. This is a valuable skill for Quantitative Analysts, as it can help them develop models that can identify and prevent fraud, which can save businesses money and protect their customers.
Cybersecurity Analyst
Cybersecurity Analyst
Cybersecurity Analysts protect businesses from cyber attacks. They use a variety of techniques to identify and stop cyber attacks, including machine learning. This course can help you develop the skills needed to be a successful Cybersecurity Analyst by teaching you how to use machine learning techniques to detect fraudulent activities in financial transactions. This is a valuable skill for Cybersecurity Analysts, as it can help them identify and prevent fraud, which can save businesses money and protect their customers.
Business Analyst
Business Analyst
Business Analysts help businesses improve their operations. They analyze business processes to identify inefficiencies and develop solutions to improve them. This course can help you develop the skills needed to be a successful Business Analyst by teaching you how to use machine learning techniques to detect fraudulent activities in financial transactions. This is a valuable skill for Business Analysts, as it can help them identify and prevent fraud, which can save businesses money and protect their customers.
Auditor
Auditor
Auditors examine financial records to ensure that they are accurate and complete. They also review business practices and procedures to identify and mitigate risks. This course can help you develop the skills needed to be a successful Auditor by teaching you how to use machine learning techniques to detect fraudulent activities in financial transactions. This is a valuable skill for Auditors, as it can help them identify and prevent fraud, which can save businesses money and protect their customers.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. They use a variety of programming languages and technologies to create software that meets the needs of users. This course can help you develop the skills needed to be a successful Software Engineer by teaching you how to use machine learning techniques to detect fraudulent activities in financial transactions. This is a valuable skill for Software Engineers, as it can help them develop software that can identify and prevent fraud, which can save businesses money and protect their customers.
Financial Analyst
Financial Analyst
Financial Analysts help businesses make sound financial decisions. They analyze financial data to identify trends, risks, and opportunities. This course can help you develop the skills needed to be a successful Financial Analyst by teaching you how to use machine learning techniques to detect fraudulent activities in financial transactions. This is a valuable skill for Financial Analysts, as it can help them identify and prevent fraud, which can save businesses money and protect their investors.
Compliance Analyst
Compliance Analyst
Compliance Analysts ensure that businesses comply with laws and regulations. They review business practices and procedures to identify and mitigate risks. This course can help you develop the skills needed to be a successful Compliance Analyst by teaching you how to use machine learning techniques to detect fraudulent activities in financial transactions. This is a valuable skill for Compliance Analysts, as it can help them identify and prevent fraud, which can save businesses money and protect their customers.
Data Engineer
Data Engineer
Data Engineers design, build, and maintain data pipelines. They use a variety of tools and technologies to move data from one system to another. This course can help you develop the skills needed to be a successful Data Engineer by teaching you how to use machine learning techniques to detect fraudulent activities in financial transactions. This is a valuable skill for Data Engineers, as it can help them develop data pipelines that can identify and prevent fraud, which can save businesses money and protect their customers.
For more career information including salaries, visit:
OpenCourser.com/course/v016fw/fraud
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
Fraud Detection on Financial Transactions with Machine Learning on Google Cloud.
Provides foundational knowledge on data science and predictive analytics, which are essential concepts for fraud detection. Gives real-world examples of how data science is used in business.
Save
Provides a comprehensive guide to fraud detection and prevention in financial institutions. Can be used as a reference for industry best practices and case studies.
Save
Provides a hands-on approach to machine learning, with a focus on practical applications. Can be used to gain a deeper understanding of the machine learning techniques used in the course.
Provides a comprehensive guide to machine learning with popular Python libraries. Can be used to supplement the course's coverage of machine learning techniques and their implementation.
Provides a practical introduction to machine learning with R, which popular programming language for data analysis. Course uses BigQuery ML, so this book provides an alternative approach to fraud detection using R.
Provides a theoretical foundation for machine learning, with a focus on probabilistic models. Particularly relevant for those interested in understanding the underlying mathematical concepts of machine learning algorithms.
Provides a practical guide to machine learning with scikit-learn, a popular machine learning library in Python. Can be used to gain a deeper understanding of machine learning algorithms and their implementation.
Provides a comprehensive overview of Python programming for data analysis. Course uses mostly SQL, so this book provides an alternative approach to fraud detection using Python.
Save
Provides an introduction to deep learning, which powerful machine learning technique increasingly used for fraud detection. Can be used to gain a deeper understanding of advanced machine learning algorithms.
Introduces automated machine learning, which can simplify and automate the process of building machine learning models. Can be used to gain a broader perspective on machine learning and its practical applications.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/v016fw/fraud
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Effort
1.5 hours
Level
Intermediate
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Language
English
Good to know
Develops fraud detection and machine learning skills, which are core capabilities for IT and data science professionals
Uses hands-on labs and interactive materials, which helps learners apply concepts in practice
Taught by Google Cloud Training, who are recognized for their expertise in cloud computing and machine learning
Students should have basic knowledge of Python and SQL, which may require additional learning for some beginners
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