We may earn an affiliate commission when you visit our partners.
Martin O'Hanlon,
Ross Exton,
Michael Conterio,
Sam Isaacs,
Rebecca Franks,
Alex Parry,
Diane Dowling,
and
Matt Hogan
Topics Covered
- Units of information
- Character encoding
- Representing images
- Representing sound
- Data compression
Register for this course and see more details by visiting:
OpenCourser.com/course/o6f5w7/representing
Here's a deal for you
We found an offer that may be relevant to this course.
Save money when you learn.
All coupon codes, vouchers, and discounts are applied automatically unless otherwise noted.
Save this course
Save Representing Data with Images and Sound: Bringing Data to Life to your list so you can find it easily later:
Save
Save
Activities
Coming soon
We're preparing activities for
Representing Data with Images and Sound: Bringing Data to Life.
These are activities you can do either before, during, or after a course.
Career center
Learners who complete Representing Data with Images and Sound: Bringing Data to Life will develop knowledge and skills
that may be useful to these careers:
For more career information including salaries, visit:
OpenCourser.com/course/o6f5w7/representing
Reading list
We haven't picked any books for this reading list yet.
Provides a comprehensive introduction to data compression, covering the fundamentals of the field and a wide range of compression techniques. It is written in a clear and concise style, and includes numerous examples and exercises.
Comprehensive guide to data compression, covering both the theoretical foundations and the practical implementation of compression algorithms. It is written in a clear and concise style, and includes numerous examples and exercises.
Provides a theoretical foundation for data compression, covering the mathematical principles behind compression algorithms. It is written in a clear and concise style, and includes numerous examples and exercises.
Provides a comprehensive introduction to data compression, covering both the theoretical foundations and the practical implementation of compression algorithms. It is written in a clear and concise style, and includes numerous examples and exercises.
Save
Provides a comprehensive overview of data compression algorithms and techniques, covering a wide range of compression techniques and their applications. It is written in a clear and concise style, and includes numerous examples and exercises.
Provides a comprehensive overview of data compression from a theoretical perspective, covering a wide range of compression techniques and their applications. It is written in a clear and concise style, and includes numerous examples and exercises.
Provides a comprehensive overview of data compression from a professional perspective, covering a wide range of compression techniques and their applications. It is written in a clear and concise style, and includes numerous examples and exercises.
Provides a comprehensive overview of data compression from a reference perspective, covering a wide range of compression techniques and their applications. It is written in a clear and concise style, and includes numerous examples and exercises.
Practical guide to using Python for basic automation tasks, providing a gentle introduction to Python's core concepts and its practical applications.
Save
Comprehensive guide to the basics of Python programming, covering data types, control flow, functions, object-oriented programming, and debugging.
Save
Uses a creative and engaging approach to teach Python concepts, with a focus on visual learning and hands-on exercises.
Comprehensive guide to Python's data analysis ecosystem, including NumPy, Pandas, and Matplotlib, with a focus on practical applications.
Comprehensive guide to machine learning using Python, covering supervised and unsupervised learning, model evaluation, and deployment.
Save
Comprehensive guide to deep learning using Python, covering neural networks, convolutional neural networks, and recurrent neural networks.
Save
Concise and comprehensive reference to the Python language, covering syntax, built-in functions and objects, and advanced topics.
Save
Deep dive into Python's advanced features, covering metaprogramming, decorators, generators, and concurrency.
Save
Collection of practical recipes and solutions for common Python programming tasks, covering a wide range of topics.
Save
Is an introductory text to Python programming, with a focus on computational thinking and problem-solving.
Comprehensive guide to the Python Standard Library, covering its vast collection of modules and their applications.
Practical guide to testing Python code using the pytest framework, covering unit testing, integration testing, and end-to-end testing.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/o6f5w7/representing
Share
Similar courses
Here are nine courses similar to
Representing Data with Images and Sound: Bringing Data to Life.
How Computers Work: Demystifying Computation
OpenCourser.com/course/7uiab3/how
How Computers Work: Demystifying Computation
Most relevant
Programming with GUIs
OpenCourser.com/course/enr7cc/programming
Programming with GUIs
Most relevant
Introduction to Encryption and Cryptography
OpenCourser.com/course/9pp3gy/introduction
Introduction to Encryption and Cryptography
Exploring Everyday Chemistry
OpenCourser.com/course/003fo0/exploring
Exploring Everyday Chemistry
Design and Prototype Embedded Computer Systems
OpenCourser.com/course/1a52wf/design
Design and Prototype Embedded Computer Systems
Introduction to Cybersecurity for Teachers
OpenCourser.com/course/iyaexe/introduction
Introduction to Cybersecurity for Teachers
Developing Literacy: A Journey from Still Image to Film
OpenCourser.com/course/orlzg9/developing
Developing Literacy: A Journey from Still Image to Film
Bullying in Schools: How Should Teachers Respond?
OpenCourser.com/course/sg9dtb/bullying
Bullying in Schools: How Should Teachers Respond?
Preprocessing Unstructured Data for LLM Applications
OpenCourser.com/course/absfr4/preprocessing
Preprocessing Unstructured Data for LLM Applications
Our mission
OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.
Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.
Find this site helpful? Tell a friend about us.
Affiliate disclosure
We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.
Your purchases help us maintain our catalog and keep our servers humming without ads.
Thank you for supporting OpenCourser.
© 2016 - 2024 OpenCourser