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This online course series explores the fundamentals of data structures and algorithms with a focus on data science applications. It is designed for learners who are interested...
This series of online courses (MOOCs) gives an introduction to the programming language Python.It teaches fundamental programming concepts including data structures, networked...
In this course students will learn about audio signal processing methodologies that are specific for music and of use in real applications. They will learn to analyse,...
This course covers the concepts and tools to understand, analyze, and interpret data from next generation sequencing experiments. It teaches the most common tools used in...
This online course program gives an introduction to the latest cutting-edge methods in Deep Learning for Medical Applications. It includes health data analysis, different types...
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 course will introduce students to the basics of the Structured Query Language (SQL) as well as basic database design for storing data as part of a multi-step data...
This online course series teaches key programming concepts in Python 3 needed to perform common scripting tasks.
This course will introduce the learner to text mining and text manipulation basics.
This online course program shows best practices of how to integrate test-driven software development into the programming workflow. The goal is to be able to write code that...
This online course program gives an introduction to data analysis. It includes working with a variety of data sources, project scenarios, and data analysis tools, including...
This online course series explores the fundamental mathematics toolkit of machine learning and data science. It includes modules on linear algebra, calculus and...
This course will introduce the learner to applied machine learning, focusing more on the techniques and methods than on the statistics behind these methods.
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