Mathematics for Data Science 专项课程
Build a Foundation for your Data Science Skills. Master a wide range of math underlying Data Science and learn how to apply it in practice
Each course of the specialisation ends with a project that gives an opportunity to see how the material of the course is used in Data Science. Each project is directed at solving practical problem in Data Science. In particular, in your projects you will analyse social graphs, predict estate prices and uncover hidden relations in the data.
National Research University - Higher School of Economics (HSE) is one of the top research universities in Russia. Established in 1992 to promote new research and teaching in economics and related disciplines, it now offers programs at all levels of university education across an extraordinary range of fields of study including business, sociology, cultural studies, philosophy, political science, international relations, law, Asian studies, media and communicamathematics, engineering, and more.
Can I just enroll in a single course?
Can I take the course for free?
此课程是 100% 在线学习吗？是否需要现场参加课程？
As prerequisites we assume precollege level math, basic programming in python (functions, loops, recursion) and common sense. Our intended audience are all people that work or plan to work in Data Science.
Do I need to take the courses in a specific order?
We recommend taking the courses in the order presented, as each subsequent course uses some knowledge from previous courses.
Will I earn university credit for completing the Specialization?
Coursera courses and certificates don't carry university credit, though some universities may choose to accept Specialization Certificates for credit. In the case of this particular Specialization the credit will be accepted by this masters program: https://www.coursera.org/degrees/master-of-data-science-hse
You will be able to understand mathematics behind Data Science. This will boost your skills in Data Analysis.