About Integral Calculus and Numerical Analysis for Data Science course
Are you interested in data science but lack the mathematical background to do so? Has math always been a difficult subject that you have avoided? This course will provide an intuitive understanding of the fundamentals of integral calculus, including integration by parts, area under a curve, and integral evaluation. The course also covers root-finding methods, matrix factorization, and partial derivatives. This course is designed to prepare students to successfully complete the Statistical Modeling for Applications to Data Science course, which is part of CU Boulder's Master of Science in Data Science (MS-DS) program.
