Learn Mathematical Foundations for Data Science. Review key concepts in algebra, calculus, linear algebra, and numerical analysis that are critical for Data Science.

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Expressway to Data Science: Essential Math 专项课程科罗拉多大学波德分校

您将学到的内容有

Compute simple derivatives.
Convert between linear systems and matrix notation and use matrix algebra to solve linear systems.
Factor a simple matrix using Singular Value Decomposition (SVD).
Practice working with logarithm properties and how logarithm functions behave graphically.

您将获得的技能

Derrivatives
Integrals
Matrix Algebra
Diagonalization
Numerical Analysis
Derivatives
Algebra
Singular Value Decomposition (SVD)
root-finding
Partial Derivative
matrix diagonalization

关于此专项课程

4,263 次近期查看

Data Science is growing rapidly, creating opportunities for careers across a variety of fields. This specialization is designed for learners embarking on careers in Data Science. Learners are provided with a concise overview of the foundational mathematics that are critical in Data Science. Topics include algebra, calculus, linear algebra, and some pertinent numerical analysis. Expressway to Data Science is also an excellent primer for students preparing to complete CU Boulder’s Master of Science in Data Science program. This specialization is designed to prepare learners to successfully complete Statistical Modeling for Data Science Application, which is part of CU Boulder's Master of Science in Data Science (MS-DS) program. Logo courtesy of ThisisEngineering RAEng on Unsplash.com

应用的学习项目

Learners will complete quizzes in each of the courses in order to test their understanding of the content as they progress. This specialization does not include any projects or final exams as it is meant to be a fast-paced content review to prepare learners for the higher-level maths required in Data Science.

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。

中级

Beginning algebra and basic function graphing.

完成课程大约需要 4 个月

建议进度：1 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。

中级

Beginning algebra and basic function graphing.

完成课程大约需要 4 个月

建议进度：1 小时/周

英语（English）

字幕：英语（English）

专项课程的运作方式

加入课程

Coursera 专项课程是帮助您掌握一门技能的一系列课程。若要开始学习，请直接注册专项课程，或预览专项课程并选择您要首先开始学习的课程。当您订阅专项课程的部分课程时，您将自动订阅整个专项课程。您可以只完成一门课程，您可以随时暂停学习或结束订阅。访问您的学生面板，跟踪您的课程注册情况和进度。

实践项目

每个专项课程都包括实践项目。您需要成功完成这个（些）项目才能完成专项课程并获得证书。如果专项课程中包括单独的实践项目课程，则需要在开始之前完成其他所有课程。

获得证书

在结束每门课程并完成实践项目之后，您会获得一个证书，您可以向您的潜在雇主展示该证书并在您的职业社交网络中分享。

此专项课程包含 3 门课程

课程1

课程 1

Algebra and Differential Calculus for Data Science

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Are you interested in Data Science but lack the math background for it? Has math always been a tough subject that you tend to avoid? This course will teach you the most fundamental Calculus concepts that you will need for a career in Data Science without a ton of unnecessary proofs and techniques that you may never use. Consider this an expressway to Data Science with approachable methods and friendly concepts that will guide you to truly understanding the most important ideas in Differential Calculus. We will review some algebra basics, talk about what a derivative is, compute some simple derivatives and apply the basics of derivatives to graphing and maximizing functions.

课程2

课程 2

Essential Linear Algebra for Data Science

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Are you interested in Data Science but lack the math background for it? Has math always been a tough subject that you tend to avoid? This course will teach you the most fundamental Linear Algebra that you will need for a career in Data Science without a ton of unnecessary proofs and concepts that you may never use. Consider this an expressway to Data Science with approachable methods and friendly concepts that will guide you to truly understanding the most important ideas in Linear Algebra.

课程3

课程 3

Integral Calculus and Numerical Analysis for Data Science

Are you interested in Data Science but lack the math background for it? Has math always been a tough subject that you tend to avoid? This course will provide an intuitive understanding of foundational integral calculus, including integration by parts, area under a curve, and integral computation. It will also cover root-finding methods, matrix decomposition, and partial derivatives.

授课教师

Jane Wall

Faculty Director of Data Science Programs

Data Science Programs

4,523 个学生

7 门课程

James Bird

Instructor

Data Science & Applied Mathematics

1,877 个学生

3 门课程

提供方

科罗拉多大学波德分校

CU-Boulder is a dynamic community of scholars and learners on one of the most spectacular college campuses in the country. As one of 34 U.S. public institutions in the prestigious Association of American Universities (AAU), we have a proud tradition of academic excellence, with five Nobel laureates and more than 50 members of prestigious academic academies.

立即开始攻读硕士学位

此专项课程与科罗拉多大学波德分校提供的 100% 在线 Master of Science in Data Science 相关。它将为您提供主题、材料和授课教师的预览，以便您确定完整在线学位课程是否适合您。

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常见问题

退款政策是如何规定的？
如果订阅，您可以获得 7 天免费试听，在此期间，您可以取消课程，无需支付任何罚金。在此之后，我们不会退款，但您可以随时取消订阅。请阅读我们完整的退款政策。
我可以只注册一门课程吗？
可以！点击您感兴趣的课程卡开始注册即可。注册并完成课程后，您可以获得可共享的证书，或者您也可以旁听该课程免费查看课程资料。如果您订阅的课程是某专项课程的一部分，系统会自动为您订阅完整的专项课程。访问您的学生面板，跟踪您的进度。
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是的。如果您负担不起学习计划的注册费，则可以在选择学习计划时申请助学金或奖学金。如果您选择的学习计划提供助学金或奖学金，则您将在描述页面上看到一个申请链接。
我可以免费学习课程吗？
完成注册课程后，您可以学习专项课程中的所有课程，并且完成作业后可以获得证书。如果您只想阅读和查看课程内容，可以免费旁听该课程。如果您无法承担课程费用，可以申请助学金。
此课程是 100% 在线学习吗？是否需要现场参加课程？
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。
完成专项课程需要多长时间？
4 Weeks
What background knowledge is necessary?
Beginning algebra and basic function graphing.
Do I need to take the courses in a specific order?
It is recommended that you take the courses in this specialization sequentially.
完成专项课程后我会获得大学学分吗？
Expressway to Data Science: Essential Math cannot be taken for academic credit, however it is designed to prepare learners to successfully complete Statistical Modeling for Data Science Application, which is part of CU Boulder's Master of Science in Data Science (MS-DS) program.
What will I be able to do upon completing the Specialization?
You will understand the mathematical concepts needed to successfully progress through CU Boulder's Master of Science in Data Science (MS-DS) program. This course is specifically designed to provide a foundation for students who either need a refresher in mathematics or come from a non-STEM background but want to take data science courses.

还有其他问题吗？请访问学生帮助中心。