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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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)
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)

此专项课程包含 4 门课程

课程1

课程 1

Discrete Math and Analyzing Social Graphs

4.5
277 个评分
65 条评论
课程2

课程 2

Calculus and Optimization for Machine Learning

4.0
89 个评分
26 条评论
课程3

课程 3

First Steps in Linear Algebra for Machine Learning

4.2
62 个评分
10 条评论
课程4

课程 4

Probability Theory, Statistics and Exploratory Data Analysis

4.7
183 个评分
51 条评论

提供方

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国立高等经济大学

立即开始攻读硕士学位

This 专项课程 is part of the 100% online Master of Data Science from 国立高等经济大学. If you are admitted to the full program, your courses count towards your degree learning.

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