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Sherif A. Tawfik Abbas
In this 1-hour long project-based course, you will learn how to create a Java Stream object based on a CSV data file, and engineer its data using Stream and Collector methods. You will explore the dataset using stream methods, and then apply a reduction operations on the data using a range of Collector methods. You will learn how to join and split strings in the data. You will apply the groupingBy method for grouping your data stream based on fields in your data object.
Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
Register for this course and see more details by visiting:
OpenCourser.com/course/e7moqp/analyse
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Develops key programming concepts and techniques for building data pipelines using Java Stream and Collector methods
Introduces real-world data manipulation scenarios based on the CSV format
Leverages industry-standard tools and techniques for data engineering
Suitable for learners with a basic understanding of Java programming
May require additional resources for learners with no prior experience in data manipulation
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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 Analyse datasets with Java streams with these
activities:
Review basic Java programming concepts
Show steps
Strengthen your foundation by reviewing basic Java programming concepts that are essential for understanding Java Stream API.
Browse courses on
Java Programming
Show steps
-
Go through online tutorials or documentation on Java basics.
-
Practice writing simple Java programs to grasp the core concepts.
-
Take online quizzes or mock tests to assess your understanding.
Solve Java Stream API coding challenges
Show steps
Reinforce your understanding of Java Stream API by solving coding challenges and practicing its application.
Browse courses on
Coding Challenges
Show steps
-
Find coding challenge websites or platforms.
-
Select coding challenges related to Java Stream API.
-
Solve the challenges by implementing Java Stream API solutions.
-
Analyze your solutions and identify areas for improvement.
Participate in peer-to-peer code review and discussion sessions
Show steps
Enhance your understanding by collaborating with peers and engaging in code review and discussions on Java Stream API concepts.
Browse courses on
Peer Review
Show steps
-
Join or create a study group or online community for Java Stream API developers.
-
Share your code or project ideas with others for review.
-
Provide feedback and suggestions to others' code and projects.
-
Participate in discussions on best practices and advanced techniques.
One other activity
Expand to see all activities and additional details
Show all four activities
Build a Java application that utilizes the Stream API for data processing
Show steps
Apply your knowledge of Java Stream API by creating a project that demonstrates its capabilities in real-world data processing scenarios.
Browse courses on
Data Processing
Show steps
-
Define the problem or data processing task to be solved.
-
Design an application that leverages the Java Stream API for efficient data processing.
-
Implement the application using Java Stream API.
-
Test and evaluate the application's performance and accuracy.
-
Document the application and share it with others.
Review basic Java programming concepts
Show steps
Strengthen your foundation by reviewing basic Java programming concepts that are essential for understanding Java Stream API.
Browse courses on
Java Programming
Show steps
Show steps
Show steps
- Go through online tutorials or documentation on Java basics.
- Practice writing simple Java programs to grasp the core concepts.
- Take online quizzes or mock tests to assess your understanding.
Solve Java Stream API coding challenges
Show steps
Reinforce your understanding of Java Stream API by solving coding challenges and practicing its application.
Browse courses on
Coding Challenges
Show steps
Show steps
Show steps
- Find coding challenge websites or platforms.
- Select coding challenges related to Java Stream API.
- Solve the challenges by implementing Java Stream API solutions.
- Analyze your solutions and identify areas for improvement.
Participate in peer-to-peer code review and discussion sessions
Show steps
Enhance your understanding by collaborating with peers and engaging in code review and discussions on Java Stream API concepts.
Browse courses on
Peer Review
Show steps
Show steps
Show steps
- Join or create a study group or online community for Java Stream API developers.
- Share your code or project ideas with others for review.
- Provide feedback and suggestions to others' code and projects.
- Participate in discussions on best practices and advanced techniques.
One other activity
Expand to see all activities and additional details
Show all four activities
Build a Java application that utilizes the Stream API for data processing
Show steps
Apply your knowledge of Java Stream API by creating a project that demonstrates its capabilities in real-world data processing scenarios.
Browse courses on
Data Processing
Show steps
Show steps
Show steps
- Define the problem or data processing task to be solved.
- Design an application that leverages the Java Stream API for efficient data processing.
- Implement the application using Java Stream API.
- Test and evaluate the application's performance and accuracy.
- Document the application and share it with others.
Career center
Learners who complete Analyse datasets with Java streams will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
Data Analysts collect, clean, and analyze data to help businesses make informed decisions. They use a variety of tools and techniques to extract insights from data, including Java. This course can help you develop the skills you need to work as a Data Analyst by teaching you how to use Java Stream objects and Collector methods to explore and analyze data. You will also learn how to join and split strings in data, and how to group data based on specific fields.
Business Analyst
Business Analyst
Business Analysts use data to help businesses improve their operations. They identify problems and opportunities, and then develop solutions to address them. This course can help you develop the skills you need to work as a Business Analyst by teaching you how to use Java Stream objects and Collector methods to explore and analyze data. You will also learn how to join and split strings in data, and how to group data based on specific fields.
Data Scientist
Data Scientist
Data Scientists use data to build models and make predictions. They work in a variety of industries, including finance, healthcare, and retail. This course can help you develop the skills you need to work as a Data Scientist by teaching you how to use Java Stream objects and Collector methods to explore and analyze data. You will also learn how to join and split strings in data, and how to group data based on specific fields.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers build and maintain machine learning models. They work in a variety of industries, including finance, healthcare, and retail. This course can help you develop the skills you need to work as a Machine Learning Engineer by teaching you how to use Java Stream objects and Collector methods to explore and analyze data. You will also learn how to join and split strings in data, and how to group data based on specific fields.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. They work in a variety of industries, including finance, healthcare, and retail. This course can help you develop the skills you need to work as a Software Engineer by teaching you how to use Java Stream objects and Collector methods to explore and analyze data. You will also learn how to join and split strings in data, and how to group data based on specific fields.
Data Engineer
Data Engineer
Data Engineers build and maintain data pipelines. They work in a variety of industries, including finance, healthcare, and retail. This course can help you develop the skills you need to work as a Data Engineer by teaching you how to use Java Stream objects and Collector methods to explore and analyze data. You will also learn how to join and split strings in data, and how to group data based on specific fields.
Statistician
Statistician
Statisticians collect, analyze, and interpret data. They work in a variety of industries, including finance, healthcare, and retail. This course can help you develop the skills you need to work as a Statistician by teaching you how to use Java Stream objects and Collector methods to explore and analyze data. You will also learn how to join and split strings in data, and how to group data based on specific fields.
Market Researcher
Market Researcher
Market Researchers collect and analyze data about consumer behavior. They work in a variety of industries, including finance, healthcare, and retail. This course can help you develop the skills you need to work as a Market Researcher by teaching you how to use Java Stream objects and Collector methods to explore and analyze data. You will also learn how to join and split strings in data, and how to group data based on specific fields.
Financial Analyst
Financial Analyst
Financial Analysts analyze financial data to help businesses make investment decisions. They work in a variety of industries, including finance, healthcare, and retail. This course can help you develop the skills you need to work as a Financial Analyst by teaching you how to use Java Stream objects and Collector methods to explore and analyze data. You will also learn how to join and split strings in data, and how to group data based on specific fields.
Actuary
Actuary
Actuaries use mathematical and statistical techniques to assess risk. They work in a variety of industries, including finance, healthcare, and insurance. This course can help you develop the skills you need to work as an Actuary by teaching you how to use Java Stream objects and Collector methods to explore and analyze data. You will also learn how to join and split strings in data, and how to group data based on specific fields.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use mathematical and analytical techniques to solve business problems. They work in a variety of industries, including finance, healthcare, and retail. This course can help you develop the skills you need to work as an Operations Research Analyst by teaching you how to use Java Stream objects and Collector methods to explore and analyze data. You will also learn how to join and split strings in data, and how to group data based on specific fields.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use mathematical and statistical techniques to analyze financial data. They work in a variety of industries, including finance, healthcare, and retail. This course can help you develop the skills you need to work as a Quantitative Analyst by teaching you how to use Java Stream objects and Collector methods to explore and analyze data. You will also learn how to join and split strings in data, and how to group data based on specific fields.
Data Visualization Analyst
Data Visualization Analyst
Data Visualization Analysts create visual representations of data to help businesses understand their data. They work in a variety of industries, including finance, healthcare, and retail. This course can help you develop the skills you need to work as a Data Visualization Analyst by teaching you how to use Java Stream objects and Collector methods to explore and analyze data. You will also learn how to join and split strings in data, and how to group data based on specific fields.
For more career information including salaries, visit:
OpenCourser.com/course/e7moqp/analyse
Reading list
We've selected 13 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
Analyse datasets with Java streams.
Comprehensive guide to concurrency in Java. It covers everything from the basics of thread safety to the most advanced techniques.
Comprehensive reference for Java that covers everything from the basics to the most advanced features. It would be a good choixe for someone who wants a single volume that covers all aspects of Java.
Classic guide to software engineering. It provides a unique and insightful look at the challenges of software development.
Save
Comprehensive guide to software engineering. It covers a wide range of topics, including software design, testing, and project management.
Save
Classic guide to writing effective Java code. It covers a wide range of topics, including object-oriented design, concurrency, and performance.
Guide to performance tuning in Java. It covers everything from profiling to optimization.
Save
Concise reference for Java that covers everything from the basics to the most advanced features. It would be a good choice for someone who wants a quick and easy way to learn about Java.
Save
Classic guide to object-oriented programming in Java. It covers everything from the basics to the most advanced features.
Save
Classic guide to design patterns. It covers a wide range of design patterns and provides detailed examples of how to use them in Java.
Save
Guide to writing clean code. It covers a wide range of topics, including object-oriented design, unit testing, and code review.
Guide to becoming a better programmer. It covers a wide range of topics, including code quality, testing, and communication.
Save
Beginner-friendly guide to Java that uses a visual and interactive approach. It would be a good choice for someone who is new to Java.
Beginner-friendly guide to design patterns in Java. It uses a visual and interactive approach to teach the basics of design patterns.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/e7moqp/analyse
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Time
2 hours
Via
Coursera
Institution
Coursera Project Network
Instructor
Sherif A. Tawfik Abbas
Good to know
Develops key programming concepts and techniques for building data pipelines using Java Stream and Collector methods
Introduces real-world data manipulation scenarios based on the CSV format
Leverages industry-standard tools and techniques for data engineering
Suitable for learners with a basic understanding of Java programming
May require additional resources for learners with no prior experience in data manipulation
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