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所在平台: Coursera专项课程 |
课程主页: https://www.coursera.org/specializations/expressway-to-data-science-essential-math
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课程名称：数据科学快捷通道：基本数学 课程概述： 在本课程中，您将学习到以下内容： - 计算简单导数。 - 在线性系统与矩阵符号之间转换，并利用矩阵代数解决线性系统。 - 使用奇异值分解（SVD）对简单矩阵进行因子分解。 - 练习对数性质及对数函数的图形表现。 您将获得的技能包括： - 导数 - 积分 - 矩阵代数 - 对角化 - 数值分析 - 根查找 - 偏导数 - 矩阵对角化 关于该专项课程： 数据科学正在快速发展，为各个领域的职业创造了机会。该专项课程旨在为有意从事数据科学职业的学习者提供必要的数学基础，涵盖代数、微积分、线性代数及相关的数值分析内容。《数据科学快捷通道》也是准备完成科罗拉多大学博尔德分校数据科学硕士项目的学生的理想入门课程。 该专项课程旨在为学习者成功完成“数据科学应用的统计建模”做好准备，统计建模是科罗拉多大学博尔德分校数据科学硕士（MS-DS）项目的一部分。 学习项目： 学习者将完成每门课程的测验，以测试其对内容的理解。该专项课程不包含任何项目或期末考试，旨在作为快速内容复习，以帮助学习者为数据科学中更高阶的数学做好准备。 证书： 完成课程后可获得分享证书。 - 100% 在线课程 - 随时开始，按照自己的节奏学习 - 灵活的学习时间安排 - 中级水平 预计完成时间： 约需4个月，建议学习进度为每周1小时。 可用语言： 英语，附字幕。
Course Link: https://www.coursera.org/learn/algebra-and-differential-calculus-for-data-science
Name:Algebra and Differential Calculus for Data Science
Description:Offered by University of Colorado Boulder. Are you interested in Data Science but lack the math background for it? Has math always been a ... Enroll for free.
Course Link: https://www.coursera.org/learn/essential-linear-algebra-for-data-science
Name:Essential Linear Algebra for Data Science
Description:Offered by University of Colorado Boulder. Are you interested in Data Science but lack the math background for it? Has math always been a ... Enroll for free.
Course Link: https://www.coursera.org/learn/integral-calculus-and-numerical-analysis-for-data-science
Name:Integral Calculus and Numerical Analysis for Data Science
Description:Offered by University of Colorado Boulder. Are you interested in Data Science but lack the math background for it? Has math always been a ... Enroll for free.
What you will learn
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.
Skills you will gain
Derrivatives
Integrals
Matrix Algebra
Diagonalization
Numerical Analysis
Derivatives
Algebra
Singular Value Decomposition (SVD)
root-finding
Partial Derivative
matrix diagonalization
About this Specialization
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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.
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Applied Learning Project
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.
Shareable Certificate
Shareable Certificate
Earn a Certificate upon completion
100% online courses
100% online courses
Start instantly and learn at your own schedule.
Flexible Schedule
Flexible Schedule
Set and maintain flexible deadlines.
Intermediate Level
Intermediate Level
Beginning algebra and basic function graphing.
Hours to complete
Approximately 4 months to complete
Suggested pace of 1 hour/week
Available languages
English
Subtitles: English
Shareable Certificate
Shareable Certificate
Earn a Certificate upon completion
100% online courses
100% online courses
Start instantly and learn at your own schedule.
Flexible Schedule
Flexible Schedule
Set and maintain flexible deadlines.
Intermediate Level
Intermediate Level
Beginning algebra and basic function graphing.
Hours to complete
Approximately 4 months to complete
Suggested pace of 1 hour/week
Available languages
English
Subtitles: English
