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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 online course gives an introduction to the infrastructure and platform services provided by Google Cloud Platform.
This online course gives an introduction to software architecture. It explores the different types of architectural styles, the properties of layered and n-tier architectures...
This course is a continuation of Crypto I and explains the inner workings of public-key systems and cryptographic protocols. Students will learn how to reason about the security...
This online course series explores advanced secure software techniques such as those for cloud computing, TOR, web-based cryptography, and geo-location/context based access...
This online course focuses on writing good code for data science. This course covers the primary means by which R software is organized and distributed.
This course will expand participants´ programming skill set to read and manipulate data with more complex structure. They will also write programs with more complex structure.
This course covers topics like multiple sequence alignments, phylogenetics, gene expression data analysis, and protein interaction networks. It covers motif searching,...
This course explores that dynamic programming is a powerful algorithmic tool when comparing two genes (i.e., short sequences of DNA) or two proteins. When "zooming out" to...
This online course gives an introduction to the basics of Matrix Methods, including matrix-matrix multiplication, solving linear equations, orthogonality, and best least squares...
This course teaches the concepts and mathematical methods behind the most powerful and universal metrics used by Data Scientists to evaluate the uncertainty-reduction – or...
This course covers techniques for monitoring your projects in order to align client needs, project plans, and software production. It focuses on metrics and reviews to track and...
This online course (MOOC) explores ecosystem services as a way of thinking about – and evaluating – the goods and services provided by nature.
This MOOC explores "neurohacking", which describes how to use the R programming language to perform manipulation, processing, and analysis of neuroimaging data.
This course focuses on data science in real life. It will contrast the ideal with what happens in real life. By contrasting the ideal, students will learn key concepts that will...
This online course explores advanced topics in R programming that are necessary for developing powerful, robust, and reusable data science tools. Topics covered include...
This course builds on the theory and foundations of marketing analytics and focuses on practical application by demystifying the use of data in marketing and helping students...
This is the continuation of Approximation algorithms, Part 1. Here participants will learn linear programming duality applied to the design of some approximation algorithms, and...
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...
In this course students will learn how organizations create, capture, and maintain value, and how it is fundamental for sustainable competitive advantage.
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