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

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...

Search engines are essential tools for managing and mining big text data. This course teaches how search engines work, the major search algorithms, and how to optimize search...

This course is an introduction to the discipline of statistics as a science of understanding and analyzing data. Students will learn how to effectively make use of data in the...

This course teaches how to take scattered data and organize it into groups for use in many applications, such as market analysis and biomedical data analysis, or as a...

This online course explores the area of Data Science without any programming requirements.

This online course explores how to promote the ethical use of data-driven technologies. It includes topics such as privacy and bias and how ethical concepts can be applied.

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 MOOC explores astronomical technology. It teaches how the technology works and how it has allowed astronomers to collect astronomical data.

This online course series gives an introduction to programming in Python for data science, including data analysis and visualization.

This course covers the basics of creating data products using Shiny, R packages, and interactive graphics. The course will focus on the statistical fundamentals of creating a...

Through this course, students learn how to go through the entire data analysis process.

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.

Internet search uses textual queries. These are strings from the point of view of computer science. To make sense of all that information and make search efficient, search...

This short online course gives an overview of open source tools for data science, such as Jupyter Notebooks, RStudio IDE, Apache Zeppelin and Data Science Experience.

In this computer science course, participants will learn the basics of programming in the Java language. This course includes repetition statements (for, while, do-while and...

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

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...

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...