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.


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
包含在 中
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

添加到您的领英档案
10 项作业
了解顶级公司的员工如何掌握热门技能

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- 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
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
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
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

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常见问题
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
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