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This online course teaches how to use powerful, open-source, Python tools, including Pandas, Git and Matplotlib, to manipulate, analyze, and visualize complex datasets.

This online course series gives an introduction to data science for beginners, including open source tools like Jupyter Notebooks, RStudio IDE, Apache Zeppelin, and OpenRefine.

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 discusses the basic biology of modern genomics and the experimental tools used for measurement. This is the first course in the Genomic Big Data Science Specialization.

This online course gives an introduction to the science behind global warming. It covers the basic principles of atmospheric science, methods of climate data collection, basic...

This online course helps to learn the foundations of probability and statistics.

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

This course teaches how to manage, describe, summarize and visualize data. Students will choose a research question based on available data and engage in the early decisions...

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 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 focused on ethics specifically related to data science will provide students with the framework to analyze these concerns. This framework is based on ethics, which...

This course covers relevant systems, the principles on which they rely, their tradeoffs, and how to evaluate their utility against one`s requirements. Cloud computing, SQL and...

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.

Process mining is the missing link between model-based process analysis and data-oriented analysis techniques. Through concrete data sets and easy to use software the course...

This course is an introduction to probabilistic models, including random processes and the basic elements of statistical inference.

This online course explores the characteristics of language through big data analysis. It includes the data-based linguistic analysis of written and spoken texts.

This online course gives an introduction to linear algebra, which is used in applications such as statistics and data science.

This course will teach its students how to start from scratch in answering questions about the real world using data. The model building process involves setting up ways of...

This course is an introduction to the main tools and ideas in the data scientist's toolbox. The course gives an overview of the data, questions, and tools that data analysts and...

This online course explores how data science can help understand the environment. The course also introduces the tools used by statisticians and data scientists.