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The Raspberry Pi is a small, affordable single-board computer that students will use to design and develop fun and practical IoT devices while learning programming and computer...

This course will introduce the learner to applied machine learning, focusing more on the techniques and methods than on the statistics behind these methods.

This online course series explores how to make accurate predictions with data-driven systems and deploy machine learning models using the Python programming language.

This online course gives an introduction to self-driving cars. It teaches the essentials of building a self-driving car, using Python and C++.

Taking this course, students will learn the basics of SQL (the Structured Query Language) and database design, as well as the Python API for connecting Python code to a database.

This course explores computational methods -- algorithms and data structures -- for analyzing DNA sequencing data. Topics include DNA, genomics, and how DNA sequencing is used....

This online course shows how to use IBM's Personality Insights API and interact with Twitter; participants should be familiar with Python for this course.

This online course gives an introduction to test-driven software development, including the core concepts and the types of testing. Some prior knowledge of the Python...

This online course teaches the fundamental building blocks of programming. The course includes seven modules that show how to write short programs using the Python language. It...

This online course bridges the gap between introductory and advanced courses in Python. It includes:Python 3 programming basics (a review)Python tools (e.g., NumPy and SciPy...

This online course teaches how to to create machine learning algorithms in Python and R.

This online course shows how to solve partial differential equations with numerical methods and Python. The methods shown in this course are used in engineering, natural...

This online course teaches GRU, LSTM, and more modern deep learning, machine learning, and data science skills. Most of the work will be done in Numpy, Matplotlib, and Theano.

This online course teaches deriving and implementing word2vec, GLoVe, word embeddings, and sentiment analysis with recursive nets.

This online course program explores foundational machine learning techniques, from data manipulation to unsupervised and supervised algorithms. Prior experience with Python is...

This online course program shows best practices of how to integrate test-driven software development into the programming workflow. The goal is to be able to write code that...

This online course teaches how to use Python to analyze, visualize and present data.

This online course series gives an introduction to the key skills needed for data science, including probability and statistics, data analysis, and machine learning. Students...

This course will introduce the learner to network modelling through the networkx toolset. Used to model knowledge graphs and physical and virtual networks, the lens will be...

This online course series teaches the fundamentals of programming in Python 3. Participants should have some basic prior programming experience.