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Data Science Project Capstone: Predicting Bicycle Rental

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Data Science Project Capstone: Predicting Bicycle Rental

This course is part of Data Science Foundations Specialization

Instructor: Robert Zimmer

2,032 already enrolled

Included with

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2 modules

Gain insight into a topic and learn the fundamentals.

22 reviews

Beginner level

No prior experience required

7 hours to complete

Flexible schedule

Learn at your own pace

2 modules

Gain insight into a topic and learn the fundamentals.

22 reviews

Beginner level

No prior experience required

7 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

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

Skills you'll gain

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

10 assignments

Taught in English

91%

of learners achieved a positive career outcome

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Build your subject-matter expertise

This course is part of the Data Science Foundations Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There are 2 modules in this course

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.

Module details

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.

What's included

6 videos3 readings5 assignments1 discussion prompt2 ungraded labs

6 videosTotal 39 minutes

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

3 readingsTotal 30 minutes

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

5 assignmentsTotal 60 minutes

Summative Assessment15 minutes
Summative Assessment15 minutes
Summative Assessment10 minutes
Summative Assessment10 minutes
Summative Assessment10 minutes

1 discussion promptTotal 10 minutes

Discuss Your Work - Phases 1 and 210 minutes

2 ungraded labsTotal 40 minutes

Code along: Phase 120 minutes
Code along: Phase 220 minutes

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.