Expressway to Data Science: Essential Math
Offered By: University of Colorado Boulder via Coursera
Course Description
Overview
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.com
Syllabus
Course 1: Algebra and Differential Calculus for Data Science
- Offered by University of Colorado Boulder. Are you interested in Data Science but lack the math background for it? Has math always been a ... Enroll for free.
Course 2: Essential Linear Algebra for Data Science
- Offered by University of Colorado Boulder. Are you interested in Data Science but lack the math background for it? Has math always been a ... Enroll for free.
Course 3: Integral Calculus and Numerical Analysis for Data Science
- Offered by University of Colorado Boulder. Are you interested in Data Science but lack the math background for it? Has math always been a ... Enroll for free.
- Offered by University of Colorado Boulder. Are you interested in Data Science but lack the math background for it? Has math always been a ... Enroll for free.
Course 2: Essential Linear Algebra for Data Science
- Offered by University of Colorado Boulder. Are you interested in Data Science but lack the math background for it? Has math always been a ... Enroll for free.
Course 3: Integral Calculus and Numerical Analysis for Data Science
- Offered by University of Colorado Boulder. Are you interested in Data Science but lack the math background for it? Has math always been a ... Enroll for free.
Courses
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Are you interested in Data Science but lack the math background for it? Has math always been a tough subject that you tend to avoid? This course will teach you the most fundamental Linear Algebra that you will need for a career in Data Science without a ton of unnecessary proofs and concepts that you may never use. Consider this an expressway to Data Science with approachable methods and friendly concepts that will guide you to truly understanding the most important ideas in Linear Algebra. This course 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 Dan-Cristian Pădureț on Unsplash.com
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Are you interested in Data Science but lack the math background for it? Has math always been a tough subject that you tend to avoid? This course will teach you the most fundamental Calculus concepts that you will need for a career in Data Science without a ton of unnecessary proofs and techniques that you may never use. Consider this an expressway to Data Science with approachable methods and friendly concepts that will guide you to truly understanding the most important ideas in Differential Calculus. We will review some algebra basics, talk about what a derivative is, compute some simple derivatives and apply the basics of derivatives to graphing and maximizing functions. This course 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.com
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Are you interested in Data Science but lack the math background for it? Has math always been a tough subject that you tend to avoid? This course will provide an intuitive understanding of foundational integral calculus, including integration by parts, area under a curve, and integral computation. It will also cover root-finding methods, matrix decomposition, and partial derivatives. This course 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.com
Taught by
James Bird and Jane Wall
Tags
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