The course is organized into six weeks, and at the end of each week, there is an assessed quiz and a longer programming project. After each lecture or demonstration, there are problems to solve or programs to write. The course contains 74 short lecture videos and MATLAB demonstrations. Great Lakes: PG Program in Data Science and Business Analytics. They should have a working knowledge of a programming language, and be willing to learn MATLAB. We assume students are already familiar with the basics of matrix algebra, differential equations, and vector calculus. This course provides an introduction on how to use MATLAB for data, signal, and image analysis. We learn how to use MATLAB to solve numerical problems, and access to MATLAB online and the MATLAB grader is given to all students who enroll. MATLAB is an extremely versatile programming language for data, signal, and image analysis tasks. This would be a good step towards building a solid foundation in using R. This course covers the most important numerical methods that an engineer should know, including root finding, matrix algebra, integration and interpolation, ordinary and partial differential equations. In Engineering Problem Solving, first-year engineering students at University of California, Davis (UC Davis) learn programming basics and solve problems in. The Department of Statistics offers two 1 credit online courses, STAT 484: Topics in R: Statistical Language and STAT 485 - Intermediate Topics in R Statistical Language. Find courses on popular topics such as deep learning, machine learning, computational math, and more.
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