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This course teaches how to use tools from the Bioconductor project to perform analysis of genomic data. This is the fifth course in the Genomic Big Data Specialization from...

This course teaches how to transform information from a format efficient for computation into a format efficient for human perception, cognition, and communication and explores...

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

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

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.

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 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...

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

This course gives a broad overview of the field of graph analytics to learn new ways to model, store, retrieve and analyze graph-structured data.

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

This online course gives an initial introduction to data science and use of the MATLAB software.

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...

This course teaches how to identify the right statistical test for the questions asked - apply and carry out hypothesis tests - generalize the results from samples to larger...

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

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 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 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 explores the area of Data Science without any programming requirements.

This is a focused course designed to rapidly get participants up to speed on doing data science in real life. It includes eg. describing possible pitfalls when pulling /...

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.