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This online course program provides an introduction to topics in single and multivariable calculus, and focuses on using calculus to address questions in the natural and social...

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...

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

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 series explores how to make accurate predictions with data-driven systems and deploy machine learning models using the Python programming language.

This course teaches the general concepts of data mining along with basic methodologies and applications. Then dives into one subfield in data mining: pattern discovery. It...

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

This online course series explores the fundamentals of data structures and algorithms with a focus on data science applications. It is designed for learners who are interested...

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 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 series of online courses (MOOCs) teaches Data Science using the Python programming language.The courses explore how to apply statistical, machine learning, information...

This online course program explores the methods modern computer science has to offer to the field of healthcare. Topics include health data analysis, different types of neural...

This online course program teaches intermediate and advanced statistical modeling techniques for data science. In particular, learners will become proficient in the theory and...

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...