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Tidymodels in R: Building tidy machine learning models

New York, United States

The Non-degree in Tidymodels in R: Building tidy machine learning models at Coursera Project Network is a program for international students taught in English.

📖 Introduction

The Coursera Project Network is a unique initiative within Coursera, a leading online learning platform founded in 2012. It is not a university, but rather a public, open-access platform that facilitates the creation and delivery of hands-on projects by experts and educators. The Coursera Project Network is distinguished by its focus on practical, project-based learning, enabling learners to apply their skills in real-world scenarios. This approach allows individuals to gain tangible, job-ready skills quickly and efficiently.

📚 About the Program

This guided project aims to empower data professionals to build tidy machine-learning models in R. In this 2-hour project-based course, you will be working in the context of a real-world scenario as part of a data-science team tasked with reducing hospital readmissions for a leading healthcare organization. Through hands-on practice, you’ll learn to preprocess clinical data and train and evaluate machine learning models. By the end of this learning experience, you'll have created a comprehensive machine-learning pipeline tailored to predict hospital readmissions. To succeed, you'll need a good understanding of R programming language, including data manipulation and visualization using tidyverse packages and some knowledge of machine learning concepts. No prior experience with Tidymodels is required, making it accessible to anyone interested in leveraging data science for healthcare analytics. Join us on this transformative journey and become equipped to make a meaningful impact on patient care outcomes through data-driven insights.

This guided project aims to empower data professionals to build tidy machine-learning models in R. In this 2-hour project-based course, you will be working in the context of a real-world scenario as part of a data-science team tasked with reducing hospital readmissions for a leading healthcare organization. Through hands-on practice, you’ll learn to preprocess clinical data and train and evaluate machine learning models. By the end of this learning experience, you'll have created a comprehensive machine-learning pipeline tailored to predict hospital readmissions. To succeed, you'll need a good understanding of R programming language, including data manipulation and visualization using tidyverse packages and some knowledge of machine learning concepts. No prior experience with Tidymodels is required, making it accessible to anyone interested in leveraging data science for healthcare analytics. Join us on this transformative journey and become equipped to make a meaningful impact on patient care outcomes through data-driven insights.

🏫 About the University

The Coursera Project Network offers a wide range of guided projects across various domains, including business, technology, data science, and more. These projects are designed to be completed in a short time frame, typically a few hours, providing learners with a quick and immersive learning experience. Through step-by-step instructions and hands-on practice, participants can build confidence in their abilities and directly apply what they learn to their personal or professional pursuits. The Coursera Project Network empowers learners to bridge the gap between theoretical knowledge and practical application, making it a valuable resource for skill development and career advancement.

💰 Fees

Application Fee

$0 USD

$0 USD

Tuition Fee

$49 USD

$49 USD

per year

✅ Entry Requirements

All students from all countries are eligible to apply to this program.

📬 Admissions Process


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