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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 online course explores how to perform data analysis using MongoDB's Aggregation Framework.

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

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 is an introduction to the statistics behind the most popular genomic data science projects. This is the sixth course in the Genomic Big Data Science Specialization...

This online course gives an introduction to the analysis of data gathered from the Internet of Things (IoT). It shows the analysis of data correlation, patterns, trends, and...

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 how to identify the right statistical test for the questions asked - apply and carry out hypothesis tests - generalize the results from samples to larger...

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

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 teaches how to transform information from a format efficient for computation into a format efficient for human perception, cognition, and communication and explores...

This online course program gives an introduction to the mathematics required for applications in Machine Learning and Data Science. It includes Linear Algebra, Multivariate...

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...

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 advanced topics in R programming that are necessary for developing powerful, robust, and reusable data science tools. Topics covered include...

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...