Advanced Search

This online course series explores how to make accurate predictions with data-driven systems and deploy machine learning models using the Python programming language.

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

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...

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 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 online course program teaches intermediate and advanced statistical modeling techniques for data science. In particular, learners will become proficient in the theory 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 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...

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 master’s program is designed to give a broad array of professionals the necessary skills to further a career in data science.

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 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 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 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 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 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 covers how to program in R and how to use R for effective data analysis. Students will learn how to install and configure software necessary for a statistical...