Foundations of Data Science Professional Certificate

What you will learn
- How to interpret and communicate data and results using a vast array of real-world examples from different domains
- How to make predictions using machine learning and statistical methods
- Computational thinking and skills, including the Python programming language for analyzing and visualizing data
- How to think critically about data and draw robust conclusions based on incomplete information

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Data Science: Inferential Thinking through Simulations (edX)

Learn how to test hypotheses, draw inferences, and make robust conclusions based on data. Using real-world examples from a wide range of domains including law, medicine, and football, you’ll learn how data scientists make conclusions about unknowns based on the data available. In this course, you will learn the [...]
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Data Science: Machine Learning and Predictions (edX)

Learn how to use machine learning, with a focus on regression and classification, to automatically identify patterns in your data and make better predictions. One of the principal responsibilities of a data scientist is to make reliable predictions based on data. When the amount of data available is enormous, [...]
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Data Science: Computational Thinking with Python (edX)

Learn the basics of computational thinking, an essential skill in today’s data-driven world, using the popular programming language, Python. We live in an era of unprecedented access to data. Understanding how to organize and leverage the vast amounts of information at our disposal are critical skills that allow us [...]
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