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This course will teach how to design experiments that compare design alternatives, techniques for running experiments, and how to analyze data from these experiments. This...

This online course explores how to design algorithms, solve computational problems and implement solutions efficiently. It includes practical applications such as sorting and...

This course will cover algorithms for solving various biological problems along with a handful of programming challenges helping you implement these algorithms in Python.

With the support of Google’s recruiting and engineering teams this course provides tips, examples, and practice opportunities that may help students with job interviews at a...

In this course, students will see how evolutionary trees resolve quandaries from finding the origin of a deadly virus to locating the birthplace of modern humans. They will then...

This course is for novice programmers or business people who'd like to understand the core tools used to wrangle and analyze big data. It will give hands-on examples with Hadoop...

This MOOC discusses the integration and processing of large amounts of data. It explains processing patterns for big data.

In this course, students will use and analyze data structures that are used in industry-level applications, such as linked lists, trees, and hashtables. They will apply...

This course gives a broad overview of the field of graph analytics to learn new ways to model, store, retrieve and analyze graph-structured data.

This online course gives an introduction to genomic data science. The course explores DNA replication, analyzing algorithms to look for hidden messages in the genome. It also...

In this course students will build a hardware and software development environment to guide their journey through the Internet of Things specialization courses. The DragonBoard™...

This online course gives an introduction to mathematical thinking in Computer Science.

This online course teaches how to use powerful, open-source, Python tools, including Pandas, Git and Matplotlib, to manipulate, analyze, and visualize complex datasets.

The course covers basic algorithmic techniques and ideas for computational problems arising frequently in practical applications: sorting and searching, divide and conquer,...