Download Coursera – Expressway to Data Science: Essential Math Specialization 2023-11

Description

Expressway to Data Science: Essential Math Specialization, the Essential Math Specialization for Data Science course is published by Coursera Academy. Data science is growing rapidly, creating opportunities for careers in a variety of fields. This specialization is designed for students starting their careers in data science. Learners provide a brief summary of the fundamental mathematics that is critical in data science. The subjects include algebra, differential and integral calculus, linear algebra and some related numerical analysis.

This specialization is also a great start for students preparing to complete a master’s program in data science. This specialization is designed to prepare students to successfully complete the Statistical Modeling for Data Science program, which is part of the Master of Data Science (MS – DS) program. Students will complete quizzes in each course to test their understanding of the content as they progress. This specialization does not include any projects or final exams as it is intended to quickly review the content to prepare students for the higher level mathematics required in data science.

What you will learn

Calculation of simple derivatives
Convert linear systems to matrix notation and use matrix algebra to solve linear systems.
Create a simple matrix using singular value decomposition (SVD).