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Data Science Project Capstone: Predicting Bicycle Rental

本课程是 Data Science Foundations 专项课程的一部分

位教师：Robert Zimmer

2,038 人已注册

包含在中

了解更多

2个模块

深入了解一个主题并学习基础知识。

22 条评论

初级等级

无需具备相关经验

7 小时完成

灵活的计划

自行安排学习进度

2个模块

深入了解一个主题并学习基础知识。

22 条评论

初级等级

无需具备相关经验

7 小时完成

灵活的计划

自行安排学习进度

您将学到什么

In this course you will tackle a prediction problem: forecasting the number of bicycles that will be rented on a given day.

您将获得的技能

要了解的详细信息

可分享的证书

添加到您的领英档案

作业

10 项作业

授课语言：英语（English）

了解顶级公司的员工如何掌握热门技能

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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 Data Science Foundations 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2个模块

This course is the seventh of eight. In this project, we will tackle a prediction problem: forecasting the number of bicycles that will be rented on a given day. Using historical data, we will consider factors such as weather conditions, the day of the week, and other relevant variables to accurately predict daily bicycle rentals. This will help ensure that our bicycle rental service is prepared with the appropriate number of bicycles each day. We will learn specifically about data acquisition and correlation.

单元详情

Welcome to an exhilarating week in our Data Science journey, where we transition from theory to practice with the commencement of our capstone project. We will immerse ourselves in the intricate world of predictive modeling using linear regression, aiming to forecast bicycle rentals. You will learn specifically about data acquisition and correlation.

涵盖的内容

6个视频3篇阅读材料5个作业1个讨论话题2个非评分实验室

6个视频总计39分钟

Introduction to this course in the specialisation3分钟
What does a Data Science project look like?7分钟
Phase 1: Getting the data10分钟
Phase 2: Playing with the data5分钟
The nature of the project: correlation in theory7分钟
The nature of the project: correlation in practice9分钟

3篇阅读材料总计30分钟

Course Syllabus10分钟
Getting ready for this course10分钟
Capstone project information10分钟

5个作业总计60分钟

Summative Assessment15分钟
Summative Assessment15分钟
Summative Assessment10分钟
Summative Assessment10分钟
Summative Assessment10分钟

1个讨论话题总计10分钟

Discuss Your Work - Phases 1 and 210分钟

2个非评分实验室总计40分钟

Code along: Phase 120分钟
Code along: Phase 220分钟

This week, we will complete the Data Science Project. You will learn about single and multiple linear regression and apply these models to solve the bicycle rental problem.

涵盖的内容

6个视频1篇阅读材料5个作业4个讨论话题4个非评分实验室

6个视频总计29分钟

Temperature and Correlation5分钟
One Feature Linear Regression11分钟
Multiple Features Linear Regression6分钟
Feature Engineering 4分钟
Project Recap2分钟
End of course1分钟

1篇阅读材料总计60分钟

Parallel Project: New York City House Prices60分钟

5个作业总计55分钟

Summative Assessment10分钟
Summative Assessment10分钟
Summative Assessment 10分钟
Summative Assessment 10分钟
Summative Assessment 15分钟

4个讨论话题总计40分钟

Discuss Your Work - Correlation and Linear Regression10分钟
Discuss Your Work - Feature Engineering10分钟
Self-reflection10分钟
Discuss Your Work - Parallel Project10分钟

4个非评分实验室总计80分钟

Code along: Temperature and Correlation20分钟
Code along: One Feature Linear Regression20分钟
Code along: Multiple Features Linear Regression20分钟
Code along: Feature Engineering 20分钟

获得职业证书

将此证书添加到您的 LinkedIn 个人资料、简历或履历中。在社交媒体和绩效考核中分享。

位教师

Robert Zimmer

University of London

5 门课程20,595 名学生

提供方

University of London

Data Science Project Capstone: Predicting Bicycle Rental

Data Science Project Capstone: Predicting Bicycle Rental

您将学到什么

您将获得的技能

要了解的详细信息

了解顶级公司的员工如何掌握热门技能

积累特定领域的专业知识

该课程共有2个模块

Week 1: First Steps and Correlation

涵盖的内容

6个视频总计39分钟

3篇阅读材料总计30分钟

5个作业总计60分钟

1个讨论话题总计10分钟

2个非评分实验室总计40分钟

Week 2: Finalising the Data Science Project

涵盖的内容

6个视频总计29分钟

1篇阅读材料总计60分钟

5个作业总计55分钟

4个讨论话题总计40分钟

4个非评分实验室总计80分钟

获得职业证书

位教师

提供方

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