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

This MOOC gives an introduction to Python and includes data analysis techniques.

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 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 online course gives an introduction to data and their analysis and interpretation.

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

This course is an introduction to least squares from a linear algebraic and mathematical perspective.

This class provides an introduction to the Python programming language and the iPython notebook. This is the third course in the Genomic Big Data Science Specialization from...

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 MOOC aims to provide a succinct overview of the emerging discipline of Materials Informatics at the intersection of materials science, computational science, 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 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 gives an introduction to deep learning (DL) methods, healthcare data and applications using DL methods.

This course covers how to find the right people to fill out a data science team, how to organize them to give them the best chance to feel empowered and successful, and how to...

In this course, students will learn how to identify new opportunities to create value for empowered consumers, develop strategies that yield an advantage over rivals, and...

This online course gives an introduction to the analysis of data gathered from the Internet of Things (IoT). It shows the analysis of data correlation, patterns, trends, and...

This online course bridges accountancy to analytics. It is designed to help accounting students develop an analytical mindset and prepare them to use tools and programming...

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 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.