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

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 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 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 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...

In this course, students will learn how to apply Supervised, Unsupervised and Reinforcement Learning techniques for solving a range of data science problems.

This course is an introduction to basic statistical concepts and R programming skills necessary for analyzing data in the life sciences.

In this Computer Science course, students will start by learning basic data types, such as numbers, and gradually build a conceptual framework for organizing and managing...

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 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 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 gives an introduction to data science. It explores one of the most internationally-recognized processes for solving data-science problems.

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 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 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 teaches Tableau 10 in data science by solving real-life analytics problems at an expert level.

This online course explores how the games industry can use big data to enhance the gaming experience and increase profits.

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...

How do we infer which genes orchestrate various processes in the cell? How did humans migrate out of Africa and spread around the world? In this class these two seemingly...