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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 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 MOOC teaches some advanced Excel skills - including index formulas, logical text and nested functions. It also explores data connections to external databases, and Visual...

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 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.

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 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 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 online course teaches Tableau 10 in data science by solving real-life analytics problems at an expert level.

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

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...

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...

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

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

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 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...