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Process mining is the missing link between model-based process analysis and data-oriented analysis techniques. Through concrete data sets and easy to use software the course...

This online course explores various aspects of Chinese history. (part 2/2)

This course discusses the basic biology of modern genomics and the experimental tools used for measurement. This is the first course in the Genomic Big Data Science Specialization.

This short online course gives an overview of what data science is.

This online course gives an introduction to the basic data and statistical techniques that underpin data analysis in finance.

This online course is the first step of the Clinical Data Science Specialization. The course will teach learners how data is gathered, how data is formed, as well as basic SQL...

This online course (MOOC) is designed to teach learners the basic math they will need in order to master any data science math course. It was created for learners who have basic...

This online course gives an introduction to least squares from a linear algebraic and mathematical perspective. The course is for students who already have had a class in...

This course explores algorithms for mining and analyzing big text data to discover interesting patterns, extract useful knowledge, and support decision making.

Visualization is the field of research in computer science that studies effective communication of quantitative results by linking perception, cognition, and algorithms to...

This online course provides a rigorous introduction to the R programming language, with a particular focus on using R for software development in a data science setting.

This course will cover the basic ways that data can be obtained. The course will cover obtaining data from the web, from APIs, from databases and from colleagues in various...

This course is an introduction to the statistics behind the most popular genomic data science projects. This is the sixth course in the Genomic Big Data Science Specialization...

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 will provide an overview of many concepts, techniques, and algorithms in machine learning, from basic classification to decision trees and clustering.

This online course gives an introduction to deep learning (DL) methods, healthcare data and applications using DL methods.

This online course gives an introduction to the most common open science practices. It aims to empower researchers to conduct, support, and disseminate research efficiently and...

This course discusses following questions: What’s the “hype” surrounding the Big Data phenomenon? Who are these mysterious data scientists everyone is talking about? What kinds...

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 class will cover an introduction to command line tools for managing genomic data. It will start with basic Unix commands for managing files and directories, followed by a...