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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 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...

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

This course covers how to program in R and how to use R for effective data analysis. Students will learn how to install and configure software necessary for a statistical...

This course will provide an overview of many concepts, techniques, and algorithms in machine learning, from basic classification to decision trees and clustering.

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 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 learners with prior programming and data analysis skills how to build machine learning models and other more advanced skills. It also kncludes...

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

In this course, students will learn how to identify new opportunities to create value for empowered consumers, develop strategies that yield an advantage over rivals, and...

This course is an introduction to the basic ideas behind the qualitative research in social science. Students will learn about data collection, description, analysis and...

This applied computer science MOOC teaches the vocabulary, concepts and mechanisms common to all digital networks, and explores the TCP, UDP and IP protocols that support all...

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 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 online course teaches how to to create machine learning algorithms in Python and R.

This online course teaches GRU, LSTM, and more modern deep learning, machine learning, and data science skills. Most of the work will be done in Numpy, Matplotlib, and Theano.