Coursera Project Network
Forecast bikeshare demand using time series models in R
Coursera Project Network

Forecast bikeshare demand using time series models in R

Taught in English

1,752 already enrolled

Project

Demonstrate your skills to employers, and leverage industry tools to solve real-world challenges

Intermediate level

Recommended experience

4-6 hours
Complete at your own pace
No downloads or installation required
Use a Coursera Lab, a pre-configured in-browser cloud workspace (only available on desktop)

Objectives

  • Describe data to answer key questions to uncover insights

  • Fit well-validated time series models for forecasting future rental bikes demands

  • Provide analytic insights and data-driven recommendations

Details to know

Shareable work sample

Add to your Coursera profile

Project

Demonstrate your skills to employers, and leverage industry tools to solve real-world challenges

Intermediate level

Recommended experience

4-6 hours
Complete at your own pace
No downloads or installation required
Use a Coursera Lab, a pre-configured in-browser cloud workspace (only available on desktop)

See how employees at top companies are mastering in-demand skills

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About this Project

Project plan

This project requires you to independently complete the following steps:

  1. Load and explore the data

  2. Create interactive time series plots

  3. Smooth time series data

  4. Decompose and assess the stationarity of time series data

  5. Fit and forecast time series data using ARIMA models

Offered by

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