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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 online course gives a first introduction to Data Science.  It includes an overview of the following topics:Data ManipulationData Analysis with Statistics and Machine...

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

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

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

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.

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

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

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

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...

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...