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The course covers basic algorithmic techniques and ideas for computational problems arising frequently in practical applications: sorting and searching, divide and conquer,...
This online course teaches how to analyze large datasets using Jupyter notebooks, MapReduce and Spark as a platform.
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 will introduce open source tools used for parallel, distributed and scalable machine learning. After completing this course’s hands-on projects with KNIME and...
This course covers intermediate topics in software development. In this course, students will move beyond coding in the “main” method to learn to design and build more complex...
This course is designed to introduce students to the issues of energy in the 21st century – including food and fuels – which are inseparably linked – and will discuss energy...
This course teaches how graph theory can be used to assemble genomes from these short pieces and also about brute force algorithms and how to apply them to sequencing...
This course will cover algorithms for solving various biological problems along with a handful of programming challenges helping you implement these algorithms in Python.
This online course (MOOC) teaches how to use existing tools and pipelines to analyze next generation sequencing (NGS) data.
This online course teaches to move beyond the chatter and opinion surrounding parenting and learn about the scientific findings and data that can help you make sensible,...
This online course focuses on pharmacoeconomic, marketing strategy, intellectual property strategy, portfolio management, managed markets and strategic alliances.
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