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This online course gives a first introduction to Data Science. It includes an overview of the following topics:Data ManipulationData Analysis with Statistics and Machine...
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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 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 gives an introduction to Excel for data analysis. It includes cleaning and preparing data, automating data analysis, and transforming, linking, and...
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 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...
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...
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 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 explores how the games industry can use big data to enhance the gaming experience and increase profits.
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 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 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 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...
Search engines are essential tools for managing and mining big text data. This course teaches how search engines work, the major search algorithms, and how to optimize search...
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 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 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 is an introduction to the discipline of statistics as a science of understanding and analyzing data. Students will learn how to effectively make use of data in the...
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