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Capstone: Data Science Problem in Linear Algebra Framework

Capstone: Data Science Problem in Linear Algebra Framework

本课程是 Linear Algebra for Data Science Using Python 专项课程的一部分

位教师：Dennis Davenport

包含在中

了解更多

4个模块

深入了解一个主题并学习基础知识。

9 小时完成

灵活的计划

自行安排学习进度

4个模块

深入了解一个主题并学习基础知识。

9 小时完成

灵活的计划

自行安排学习进度

您将获得的技能

您将学习的工具

Python Programming

要了解的详细信息

可分享的证书

添加到您的领英档案

授课语言：英语（English）

91%

of learners achieved a positive career outcome

了解顶级公司的员工如何掌握热门技能

了解关于 Coursera for Business 的更多信息

Petrobras, TATA, Danone, Capgemini, P&G 和 L'Oreal 的徽标

积累特定领域的专业知识

本课程是 Linear Algebra for Data Science Using Python 专项课程专项课程的一部分

在注册此课程时，您还会同时注册此专项课程。

向行业专家学习新概念
获得对主题或工具的基础理解
通过实践项目培养工作相关技能
获得可共享的职业证书

该课程共有4个模块

In this course, you'll review the specifics of the Capstone project. In addition, you will create and run your regression model and share your results with your peers. Let's get started!

单元详情

In module 1, you’ll learn about the steps you will take to complete the Capstone Project. We will cover the following learning objectives.

涵盖的内容

4个视频1篇阅读材料1个讨论话题

Let’s recap! In module 1, you were introduced to the Capstone project and Tasks 1-4. In module 2, you’ll complete Task 1: Data wrangling and Task 2: Use PCA to reduce the number of dimensions. We will cover the following learning objectives.

涵盖的内容

2个视频2次同伴评审1个讨论话题

2个视频总计13分钟

Task 1: Use Data Wrangling on Your Dataset8分钟
Task 2: Use Principal Component Analysis (PCA) to Reduce the Number of Dimensions5分钟

2次同伴评审总计180分钟

Use Data Wrangling on Your Dataset90分钟
Use Principle Component Analysis (PCA) to Reduce Dimensions in a Large Dataset90分钟

1个讨论话题总计10分钟

Reducing the Number of Dimensions in Your Data Set10分钟

Let’s recap! In module 2, you learned how to complete Tasks 1 & Task 2. In module 3, you will learn how to complete Task 3: Run your regression model and Task 4: Interpret the results from your model. We will cover the following learning objectives.

涵盖的内容

4个视频2次同伴评审1个讨论话题

4个视频总计19分钟

Task 3: Run a Regression Model2分钟
Real World Problem Using Linear Regression Modeling Part 16分钟
Task 4: Interpreting Results from a Linear Regression Model7分钟
Real-World Problem Using Linear Regression Modeling Part II4分钟

2次同伴评审总计180分钟

Creating Your Linear Regression Model90分钟
Interpreting Results Using Your Model90分钟

1个讨论话题总计10分钟

Using Linear Regression Modeling In Your Life10分钟

Welcome to the final module of this course! Over the past 3 modules, you have been introduced to and gained knowledge on the following topics: Data wrangling (Task 1),Use PCA to Reduce the Number of Dimensions (Task 2), Run your regression model (Task 3) and, Interpret the results from your model (Task 4). In this final module you will prepare your final Capstone Project, submit it, discuss what you learned and complete peer reviews. We will cover the following learning objectives.