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This online course in Computer Science is one of the most popular MOOCs (massive open online courses). It's the online version of Harvard's introductory CS50 class. It...
This online course teaches the basics of programming computers using Python. The course covers the basics of how to construct a program from a series of simple instructions in...
In this online course, participants will learn the basics of modern Artificial Intelligence (AI).The course also includes some of the representative applications of AI,...
This online course shows how to program in Java and teaches general programming and problem-solving skills.The course explores how to design algorithms and develop and debug...
This online course gives an introduction to virtual reality technology.The course aims to show what is important for successful virtual reality software and teaches how to write...
This online course (MOOC) explores the basics of Machine Learning.The Stanford course provides a broad introduction to machine learning, datamining, and statistical pattern...
This online course teaches Python 3.
This online course gives a first introduction to Data Science. It includes an overview of the following topics:Data ManipulationData Analysis with Statistics and Machine...
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This MOOC teaches the design fundamentals of a real-time operating system (RTOS) and how to build a Bluetooth network.
This course will teach how to program in Scratch, an easy to use visual programming language. More importantly, it will introduce the fundamental principles of computing and it...
This online course gives an introduction to the fundamental precepts of computer science. It covers the relationships between applications programming, the theory of...
This course teaches how to program in C#, which is used for programming mobile applications, games and enterprise software.
In this course, students will learn how to plan efficient experiments using statistical methods - enabling them to test for many variables that lead to better results using a...
Focusing on the basics of machine learning and embedded systems, such as smartphones, this online course will introduce learners to the “language” of TinyML.
This online course teaches how to evaluate recommender systems.
This online course gives an introduction to COBOL programming. It covers the structure of COBOL programs, data types and variable handling, intrinsic functions, branching logic,...
This course shows participants how to put the agile culture into practice across concept testing, usability testing, functional testing, and ongoing feature validation.
This online course explores two components of a cyber physical system: hardware and operating systems.
This online course gives an introduction to Alexa, the Voice User Interface (VUI) application by Amazon.The course shows how to build a simple interaction model that responds to...
This online course gives an introduction to the world of programming. It includes an overview of the terms that developers use and an overview of how the web functions and how...
This online course covers the basics of R: a free programming language and software environment used for statistical computing and graphics.
This online course gives an introduction to Unix for learners who are new to programming and new to Unix-like operating systems like macOS and Linux distributions like Ubuntu.
This MOOC will teach participants how to develop an embedded systems device. The course focuses on embedded systems applications in the area of the IoT.
This online course discusses the key problems of parameter estimation in both directed and undirected models, as well as the structure learning task for directed models.
This online course teaches how to collect data from different social media sources such as YouTube, Twitter, and Flickr. It includes analyzing unstructured data and processing...
This course focused on ethics specifically related to data science will provide students with the framework to analyze these concerns. This framework is based on ethics, which...
In this course, students will learn how to apply Supervised, Unsupervised and Reinforcement Learning techniques for solving a range of data science problems.
This online course teaches powerful data abstraction and decomposition techniques to build large, complex programs.
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