Expressway to Data Science: Essential Math
Data Science is growing rapidly, creating opportunities for careers across a variety of fields. This specialization is designed for learners embarking on careers in Data Science. Learners are provided with a concise overview of the foundational mathematics that are critical in Data Science. Topics include algebra, calculus, linear algebra, and some pertinent numerical analysis.
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- Level Professional
- المدة
- الطبع بواسطة University of Colorado Boulder
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Offered by
عن
Data Science is growing rapidly, creating opportunities for careers across a variety of fields. This specialization is designed for learners embarking on careers in Data Science. Learners are provided with a concise overview of the foundational mathematics that are critical in Data Science. Topics include algebra, calculus, linear algebra, and some pertinent numerical analysis. Expressway to Data Science is also an excellent primer for students preparing to complete CU Boulder’s Master of Science in Data Science program. This specialization is designed to prepare learners to successfully complete Statistical Modeling for Data Science Application, which is part of CU Boulder's Master of Science in Data Science (MS-DS) program. Logo courtesy of ThisisEngineering RAEng on Unsplash.comAuto Summary
"Expressway to Data Science: Essential Math" is a specialization aimed at those beginning careers in Data Science, offered by Coursera. Focused on foundational mathematics, it covers algebra, calculus, linear algebra, and numerical analysis. Ideal for students gearing up for CU Boulder’s Master of Science in Data Science program, it prepares learners for advanced statistical modeling. Subscription options include Starter and Professional, catering to a professional-level audience.
Jane Wall
James Bird