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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 gives an introduction to the most common open science practices. It aims to empower researchers to conduct, support, and disseminate research efficiently and...

This course is an introduction to least squares from a linear algebraic and mathematical perspective.

This online course explores how to build and incorporate ethical frameworks in AI and Big Data technology and business initiatives to add transparency, build trust, and drive...

This online course gives an introduction to data analysis. It includes basic concepts such as the data ecosystem and the fundamentals of data analysis.

In this computer science course, participants will learn the basics of programming in the Java language. This course will cover repetition statements (for, while, do-while 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 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 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 Java course provides with a strong understanding of basic Java programming elements and data abstraction using problem representation and the object-oriented...

This online course explores probabilistic models, including random processes and the basic elements of statistical inference.

This online course series gives an introduction to programming in Python for data science, including data analysis and visualization.

This online course teaches how to apply fundamental programming concepts, computational thinking and data analysis techniques to solve real-world 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 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 gives an introduction to linear algebra, which is used in applications such as statistics and data science.

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.

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 will provide a crash course in what data science and big data mean and how they play a role in successful organizations

This online course introduces learners to the science of business analytics with applications in a marketing context.