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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...

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 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 online course gives an introduction to Excel for data analysis. It includes cleaning and preparing data, automating data analysis, and transforming, linking, and...

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 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 exploring data to make students understand the data’s underlying structure and variables, to develop intuition about the data set, to consider how that...

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...

Internet search uses textual queries. These are strings from the point of view of computer science. To make sense of all that information and make search efficient, search...

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 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 online course focuses on writing good code for data science. This course covers the primary means by which R software is organized and distributed.

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

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 bridges accountancy to analytics. It is designed to help accounting students develop an analytical mindset and prepare them to use tools and programming...

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...

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