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)

此专项课程包含 4 门课程

课程1

课程 1

Discrete Math and Analyzing Social Graphs

4.6
196 个评分
44 条评论
课程2

课程 2

Calculus and Optimization for Machine Learning

3.8
62 个评分
16 条评论
课程3

课程 3

First Steps in Linear Algebra for Machine Learning

4.2
45 个评分
6 条评论
课程4

课程 4

Probability Theory, Statistics and Exploratory Data Analysis

4.7
102 个评分
23 条评论

提供方

国立高等经济大学 徽标

国立高等经济大学

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。

常见问题

  • If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.

  • Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate, or you can audit it to view the course materials for free. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.

  • Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project. Learn more.

  • When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. If you only want to read and view the course content, you can audit the course for free. If you cannot afford the fee, you can apply for financial aid.

  • This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.

  • 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.

  • 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.

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