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

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 is an introduction to basic statistical concepts and R programming skills necessary for analyzing data in the life sciences.

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...

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 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 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 basic ideas behind the qualitative research in social science. Students will learn about data collection, description, analysis 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 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 course features a real-world case study. In response to business requirements presented in a case study, students will design and build a small data warehouse, create data...

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

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

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...

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 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...