关于此 专项课程

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Behind numerous standard models and constructions in Data Science there is mathematics that makes things work. It is important to understand it to be successful in Data Science. In this specialisation we will cover wide range of mathematical tools and see how they arise in Data Science. We will cover such crucial fields as Discrete Mathematics, Calculus, Linear Algebra and Probability. To make your experience more practical we accompany mathematics with examples and problems arising in Data Science and show how to solve them in Python.

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初级

完成时间大约为6 个月

建议 4 小时/周

英语(English)

字幕:英语(English)

可分享的证书

完成后获得证书

100% 在线课程

立即开始,按照自己的计划学习。

灵活的计划

设置并保持灵活的截止日期。

初级

完成时间大约为6 个月

建议 4 小时/周

英语(English)

字幕:英语(English)

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how it works

此专项课程包含 4 门课程

课程1

课程 1

Discrete Math and Analyzing Social Graphs

4.7
109 个评分
18 条评论
课程2

课程 2

Calculus and Optimization for Machine Learning

4.5
29 个评分
4 条评论
课程3

课程 3

First Steps in Linear Algebra for Machine Learning

4.3
9 个评分
2 条评论
课程4

课程 4

Probability Theory, Statistics and Exploratory Data Analysis

4.4
16 个评分
4 条评论

立即开始攻读硕士学位

此 专项课程 隶属于 国立高等经济大学 提供的 100% 在线 Master of Data Science。如果您被录取参加全部课程,您的课程将计入您的学位学习进程。

关于 国立高等经济大学

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. Learn more on www.hse.ru...

常见问题

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  • 此课程完全在线学习,无需到教室现场上课。您可以通过网络或移动设备随时随地访问课程视频、阅读材料和作业。

  • Time to completion can vary based on your schedule, but most learners are able to complete the Specialization in 6-8 months.

  • 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.

  • We recommend taking the courses in the order presented, as each subsequent course uses some knowledge from previous courses.

  • You will be able to understand mathematics behind Data Science. This will boost your skills in Data Analysis.

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