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Learn to use powerful, open-source, Python tools, including Pandas, Git and Matplotlib, to manipulate, analyze, and visualize complex datasets.
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Probability and Statistics in Data Science using Python
Using Python, learn statistical and probabilistic approaches to understand and gain insights from data. -
Understand machine learning’s role in data-driven modeling, prediction, and decision-making.
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Big Data Analytics Using Spark
Learn how to analyze large datasets using Jupyter notebooks, MapReduce and Spark as a platform.
Data Science MicroMasters® Program
In this MicroMasters program, you will develop a well-rounded understanding of the
mathematical and computational tools that form the basis of data science and how to use those
tools to make data-driven decisions.
Mathematical courses cover probability, statistics, and machine learning. The applied
computational courses cover the use of specific toolkit and languages such as Python, Numpy,
Matplotlib, pandas, and Scipy, the Jupyter notebook environment and Apache Spark to delve
into real world data.
You will learn how to collect, clean and analyze big data using popular open source software
which will allow you to perform large-scale data analysis and visual presentation.
Instructors for the Data Science MicroMasters program.
Frequently asked questions for the Data Science MicroMasters program.
Testimonials from students who completed Data Science MicroMasters courses.