MicroMasters' description:
MicroMasters programs are a series of graduate level courses from top universities designed to advance your career. They provide deep learning in a specific career field and are recognized by employers for their real job relevance. Students may apply to the university offering credit for the MicroMasters certificate and, if accepted, can pursue an accelerated and less expensive Master’s Degree.
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 business recommendations.
This MicroMasters program encompasses two sides of data science learning: the mathematical and the applied.
Mathematical courses cover probability, statistics, and machine learning. The applied 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 analyse big data using popular open source software will allow you to perform large-scale data analysis and present your findings in a convincing, visual way. When combined with expertise in a particular type of business, it will make you a highly desirable employee.
| Image | Course Name | Description |
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Python for Data Science | 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, learn statistical and probabilistic approaches to understand and gain insights from data. |
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Machine Learning Fundamentals | 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. |