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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/algebra-and-differential-calculus-for-data-science
课程评论：没有评论
课程名称：数据科学的代数与微积分 课程概述：你对数据科学感兴趣，但数学基础薄弱吗？数学一直是你避之不及的学科吗？本课程将教你进入数据科学所需的最基本的微积分概念，而不涉及大量你可能永远用不到的冗余证明和技巧。可以将其视为进入数据科学的快捷方式，采用易于理解的方法和友好的概念，帮助你真正理解微积分中最重要的思想。我们将复习一些代数基础，讨论导数的定义，计算一些简单的导数，并将导数的基础知识应用于图形绘制和函数的最大化。 本课程旨在帮助学习者成功完成统计建模应用于数据科学的课程，此课程是科罗拉多大学博尔德分校数据科学硕士项目（MS-DS）的一部分。 课程大纲： 1. **函数与代数复习**：复习代数概念，包括函数和对数。 2. **归纳证明、极限与连续性**：简单的归纳证明和函数在无穷大的极限。 3. **导数的定义**：什么是导数？从导数的定义计算简单导数。 4. **乘法法则与链式法则**：使用乘法法则和链式法则计算更复杂函数的导数。 5. **使用导数绘制函数图像**：利用导数的正负值帮助绘制函数图形。 6. **寻找最大值与最小值**：使用导数找出函数的最大值和最小值。 此课程适合希望加强数学基础以便深入数据科学领域的学习者。
Name:Functions and Algebra Review
Description:Review of algebra concepts including functions and logarithms
Name:Induction Proofs, Limits and Continuity
Description:Simple induction proofs and limits at infinity for functions
Name:Definition of a Derivative
Description:What is a derivative? Calculate simple derivatives from the definition of a derivative.
Name:Product and Chain Rule
Description:Use the product and chain rules to calculate the derivatives of more complicated functions.
Name:Using Derivatives to Graph Functions
Description:Use where derivatives are positive and negative to help graph a function.
Name:Finding Maximums and Minimums
Description:Use derivatives to find the maximum and minimum values of functions.
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. This course 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
