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This course teaches how to take scattered data and organize it into groups for use in many applications, such as market analysis and biomedical data analysis, or as a...

This applied computer science MOOC teaches the vocabulary, concepts and mechanisms common to all digital networks, and explores the TCP, UDP and IP protocols that support all...

In this computer science course, participants will learn the basics of programming in the Java language. This course includes repetition statements (for, while, do-while and...

This online course teaches how to apply fundamental programming concepts, computational thinking and data analysis techniques to solve real-world data science problems.

This online course explores how to promote the ethical use of data-driven technologies. It includes topics such as privacy and bias and how ethical concepts can be applied.

This MOOC explores astronomical technology. It teaches how the technology works and how it has allowed astronomers to collect astronomical data.

This course will cover the basic ways that data can be obtained. The course will cover obtaining data from the web, from APIs, from databases and from colleagues in various...

This course will provide a crash course in what data science and big data mean and how they play a role in successful organizations

This online course gives an introduction to Precision Medicine. It includes precision-medicine era diagnostics, treatment selection, genetic counseling, public health...

In this course, students will learn how to apply Supervised, Unsupervised and Reinforcement Learning techniques for solving a range of data science problems.

This short online course gives an overview of open source tools for data science, such as Jupyter Notebooks, RStudio IDE, Apache Zeppelin and Data Science Experience.

This is a focused course designed to rapidly get participants up to speed on doing data science in real life. It includes eg. describing possible pitfalls when pulling /...

This computer science course covers advanced object-oriented programing strategies, including polymorphism, abstract classes, super keyword, exceptions, generics, sorting and...

Through this course, students learn how to go through the entire data analysis process.

This course is an introduction to basic statistical concepts and R programming skills necessary for analyzing data in the life sciences.

This course teaches how to identify the right statistical test for the questions asked - apply and carry out hypothesis tests - generalize the results from samples to larger...

This online course teaches how to apply computational thinking in data science.

This online course explores how to perform data analysis using MongoDB's Aggregation Framework.

This course discusses the basic biology of modern genomics and the experimental tools used for measurement. This is the first course in the Genomic Big Data Science Specialization.

This online course explores probabilistic models, including random processes and the basic elements of statistical inference.