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This online course teaches the fundamental tools and techniques for using data towards making business decisions in the face of uncertainty.
This course explores regularized linear regression models for the task of prediction and feature selection. Students will be able to handle very large sets of features and...
This introductory synthetic biology course starts with a brief overview of the field and then delves into more challenging yet exciting concepts. Students will learn how to...
In this course, students will learn to interface common sensors and actuators to the DragonBoard™ 410c hardware. They will then develop software to acquire sensory data, process...
This advanced-level online lecture gives an introduction to gravitational waves in astrophysics.
Through this course, students will get a solid understanding of the key controversies surrounding the development of international human rights law.
This course represents a focus on several techniques that are widely used in the analysis of high-dimensional data.
In this course, students will use Native JavaScript Promises to write asynchronous code that is easy to read, easy to write and easy to debug.
Statistical experiment design and analytics are at the heart of data science. In this course students will design statistical experiments and analyze the results using modern...
This MOOC aims to provide a succinct overview of the emerging discipline of Materials Informatics at the intersection of materials science, computational science, and...
Closely related to pattern recognition, Unsupervised Learning is about analyzing data and looking for patterns. It is an extremely powerful tool for identifying structure in...
This online course shows the key strategies and financing structures used by project managers to generate crucial funding for their projects.
In this advanced online course several quantum machine learning algorithms are presented and explained. Students will also learn how to implement them in Python.
This course covers functional, object-oriented, and declarative dataflow programming in a unified framework, with practical code fragments and a simple semantics.
This online course discusses the key problems of parameter estimation in both directed and undirected models, as well as the structure learning task for directed models.
This MOOC teaches a calculus that enables quantitative predictions of large combinatorial structures. In addition, the MOOC also covers generating functions and real asymptotics...
This MOOC gives an introduction to Python and includes data analysis techniques.
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