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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...

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

This course covers the essential exploratory techniques for summarizing data. It will cover in detail the plotting systems in R as well as some of the basic principles of...

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

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 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 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 online course explores how to build and incorporate ethical frameworks in AI and Big Data technology and business initiatives to add transparency, build trust, and drive...

This online course teaches how to apply fundamental programming concepts, computational thinking and data analysis techniques to solve real-world data science problems.

This course focused on ethics specifically related to data science will provide students with the framework to analyze these concerns. This framework is based on ethics, which...

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 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 online course series gives an introduction to data science for beginners, including open source tools like Jupyter Notebooks, RStudio IDE, Apache Zeppelin, and OpenRefine.

This course is an introduction to the main tools and ideas in the data scientist's toolbox. The course gives an overview of the data, questions, and tools that data analysts and...

This online course gives an introduction to linear algebra, which is used in applications such as statistics and data science.

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.

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

This online course explores the foundations of probability and its relationship to statistics and data science.

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.

The course will teach students how to use computation to accomplish a variety of goals and provides you with a brief introduction to a variety of topics in computational problem...