Forecast bikeshare demand using time series models in R from Coursera

In this project, you’ll help a bike rental company enhance its fleet management and pricing strategy by building a daily bike rental forecasting model using time series analysis techniques in R. Your objectives include loading, cleaning, processing, and analyzing daily rental transaction data, and developing and evaluating time series models for the most accurate predictions.

The company will use your validated forecasting model to determine the optimal number of bikes to keep in each station and set dynamic pricing based on predicted demand. Upon completion, you’ll be able to demonstrate your ability to perform a comprehensive data analysis project that involves answering critical business questions, extensive data visualization, and model selection.

There isn’t just one right approach or solution in this scenario, which means you can create a truly unique project that helps you stand out to employers.

ROLE: Data Analyst

SKILLS: R, RStudio, Data Analysis, Data Modelling, Time Series Modelling, Data Interpretation

PREREQUISITES:

Load, clean, explore, manipulate, and visualize data using R

Write code in RStudio and R Markdown

Knowledge of time series

What's inside

Syllabus

Project

In this 4-6-hour project, you'll conduct a time series data analysis using R and upload your findings to your Coursera profile to showcase to potential employers.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Appropriate for data analysts or those wishing to transition into the field who have functional programming experience in R

Requires a baseline familiarity with time series analysis and working knowledge of R and RStudio for immediate success

This project will be especially relevant for analysts working for forecasting, operations, and other data-heavy divisions

By focusing on modeling for dynamic pricing, this course has immediate implications in many industries and applications beyond bike rentals

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Forecast bikeshare demand using time series models in R with these activities:

Organize Course Materials

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Establish a structured system for organizing and reviewing course materials, enhancing your ability to locate and utilize information effectively throughout the course.

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Create a dedicated folder or notebook for course materials.
Categorize and arrange materials into logical sections.
Regularly review and update your materials, adding new resources and insights.

Review R Programming Fundamentals

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Bolster your understanding of R programming fundamentals, ensuring a solid foundation for the course's time series analysis techniques.

Browse courses on R Programming

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Revisit basic data structures and operations in R, such as vectors, matrices, and data frames.
Practice manipulating and transforming data using R's built-in functions.
Review graphical techniques for data exploration and visualization in R.

Time Series Data Analysis Drills

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Sharpen your time series analysis skills by solving practice problems and exercises, enhancing your ability to handle the course's forecasting challenges.

Browse courses on Time Series Analysis

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Analyze time series data to identify patterns and trends.
Apply different time series forecasting methods to predict future values.
Evaluate the accuracy of your forecasts using appropriate metrics.

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Career center

Learners who complete Forecast bikeshare demand using time series models in R will develop knowledge and skills that may be useful to these careers:

Data Analyst

The skills you will develop in the Forecast bikeshare demand using time series models in R course are critical to becoming a successful Data Analyst. Being able to analyze large datasets, identify trends, and forecast future demand are all essential skills for this role. Additionally, the course will help you build a strong foundation in R, which is one of the most popular programming languages for data science and analysis. As a Data Analyst, you will use your skills to help businesses make informed decisions about everything from product development to marketing campaigns.

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Market Researcher

As a Market Researcher, you will use data to understand consumer trends and preferences. The skills you will develop in the Forecast bikeshare demand using time series models in R course will be essential for this role, as you will need to be able to collect, clean, and analyze data in order to make accurate predictions about future trends. Additionally, the course will help you build a strong foundation in R, which is one of the most popular programming languages for data science and analysis.

See salaries and explore the career path for Market Researcher

Financial Analyst

The skills you will develop in the Forecast bikeshare demand using time series models in R course may be helpful for a role as a Financial Analyst. In this role, you will use data to make predictions about the future performance of companies and investments. The course will help you build a strong foundation in R, which is one of the most popular programming languages for data science and analysis.

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Data Scientist

The skills you will develop in the Forecast bikeshare demand using time series models in R course are essential for Data Scientists. In this role, you will use data to solve complex problems and make predictions about the future. The course will help you build a strong foundation in R, which is one of the most popular programming languages for data science and analysis.

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Quantitative Analyst

As a Quantitative Analyst, you will use mathematical and statistical models to assess risk and make investment decisions. The skills you will develop in the Forecast bikeshare demand using time series models in R course will be essential for this role, as you will need to be able to collect, clean, and analyze data in order to make accurate predictions about future trends. Additionally, the course will help you build a strong foundation in R, which is one of the most popular programming languages for data science and analysis.

See salaries and explore the career path for Quantitative Analyst

Business Analyst

The skills you will develop in the Forecast bikeshare demand using time series models in R course may be helpful for a role as a Business Analyst. In this role, you will use data to identify and solve business problems. The course will help you build a strong foundation in R, which is one of the most popular programming languages for data science and analysis.

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Operations Research Analyst

The skills you will develop in the Forecast bikeshare demand using time series models in R course may be helpful for a role as an Operations Research Analyst. In this role, you will use data to improve the efficiency and effectiveness of business operations. The course will help you build a strong foundation in R, which is one of the most popular programming languages for data science and analysis.

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Risk Analyst

The skills you will develop in the Forecast bikeshare demand using time series models in R course may be helpful for a role as a Risk Analyst. In this role, you will use data to identify and assess risks to a business. The course will help you build a strong foundation in R, which is one of the most popular programming languages for data science and analysis.

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Actuary

The skills you will develop in the Forecast bikeshare demand using time series models in R course may be helpful for a role as an Actuary. In this role, you will use data to assess risk and make financial decisions. The course will help you build a strong foundation in R, which is one of the most popular programming languages for data science and analysis.

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Statistician

The skills you will develop in the Forecast bikeshare demand using time series models in R course may be helpful for a role as a Statistician. In this role, you will use data to design and conduct statistical studies and analyze the results. The course will help you build a strong foundation in R, which is one of the most popular programming languages for data science and analysis.

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Data Engineer

The skills you will develop in the Forecast bikeshare demand using time series models in R course may be helpful for a role as a Data Engineer. In this role, you will be responsible for building and maintaining the infrastructure that is used to store and process data. The course will help you build a strong foundation in R, which is one of the most popular programming languages for data science and analysis.

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Machine Learning Engineer

The skills you will develop in the Forecast bikeshare demand using time series models in R course may be helpful for a role as a Machine Learning Engineer. In this role, you will be responsible for building and deploying machine learning models. The course will help you build a strong foundation in R, which is one of the most popular programming languages for data science and analysis.

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Software Engineer

The skills you will develop in the Forecast bikeshare demand using time series models in R course may be helpful for a role as a Software Engineer. In this role, you will be responsible for designing, developing, and maintaining software applications. The course will help you build a strong foundation in R, which is a popular programming language for data science and analysis.

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Web Developer

The skills you will develop in the Forecast bikeshare demand using time series models in R course may be helpful for a role as a Web Developer. In this role, you will be responsible for designing and developing websites. The course will help you build a strong foundation in R, which is a popular programming language for data science and analysis.

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Data Visualization Engineer

The skills you will develop in the Forecast bikeshare demand using time series models in R course may be helpful for a role as a Data Visualization Engineer. In this role, you will be responsible for creating data visualizations that are used to communicate insights to stakeholders. The course will help you build a strong foundation in R, which is a popular programming language for data science and analysis.

See salaries and explore the career path for Data Visualization Engineer