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.
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Derivatives, Graph Theory, Mathematics, Numerical Analysis, Mathematical Theory & Analysis, Integrals, Problem Solving, Algebra, Calculus, Linear Algebra, Matrix Algebra
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4.6 (241 ratings)
5 stars
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1 star
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DG
May 19, 2022
Excellent introduction and review for those of us who took these courses some years ago! Really appreciated the clear teaching, which is so important for learrning math.
VG
Nov 3, 2022
Excellent course. I never did university calculus, and this was a great way to test my understanding and prompt additional learning as I attempted the quizzes.Thank you!
From the lesson
Definition of a Derivative
What is a derivative? Calculate simple derivatives from the definition of a derivative.