Virtual program of:edX |
How to load and clean real-world data How to make reliable statistical inferences from noisy data How to use machine learning to learn data models How to visualize complex data How to use Apache Spark to analyze data that does not fit in the memory of a single computer
4 high-level virtual courses (graduate-level)
Excel in data science, one of the most important fields in technology today.
Learn how to gain new insights from big data by asking the right questions, manipulating data sets, and compellingly visualizing your findings.
In this MicroMasters program, you will develop a comprehensive understanding of the mathematical and computational tools that form the foundation 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.
Math courses cover probability, statistics, and machine learning.
Applied courses cover the use of specific toolsets and languages such as Python, Numpy, Matplotlib, pandas, and Scipy, the Jupyter notebook environment, and Apache Spark to dig into real-world data.
You will learn to collect Clean and analyze big data using popular open source software that will allow you to perform large-scale data analysis and present your findings in a visual and compelling way.
When combined with experience in a particular type of business, it will make you a highly desirable employee.
Whether you're looking to accelerate your career, earn a degree, or learn something for personal reasons, edX has the right courses for you.
Boost your career with college-backed credit programs and verified certificates.
Study and demonstrate knowledge at your preferred study time.
Try the courses before paying.
Learn alongside university partners and colleagues from around the world.
Expert UCSanDiegoX faculty and instructors committed to high-quality virtual education.
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