Data Science Project Capstone: Predicting Bicycle Rental

Instructor: Robert Zimmer

Beginner Level • 7 hours to complete • Flexible Schedule

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

Regression Analysis
Statistical Modeling
Data Science
Data-Driven Decision-Making
Data Collection
Correlation Analysis
Forecasting
Exploratory Data Analysis
Time Series Analysis and Forecasting
Predictive Modeling
Data analysis

Shareable Certificate

Earn a shareable certificate to add to your LinkedIn profile

Outcomes

                    
                                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

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.

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.