Launching a Personal Website Using R
Delve into building a personal website using R. Learn about GitHub, Hugo, Netlify, and Google Analytics to customize and launch your site effortlessly.
In the health services industry, the need for predictive analytics is high. For example, in 2019 I developed a health insurance customer churn model using machine learning that helped increase retention by 13%. In 2016, I developed a time series model for predicting health insurance ratings, resulting in $30M in annual revenue. In 2022, I developed proprietary software that uses machine learning to predict a variety of patient outcomes related to substance use disorder. As an Educative author, my aim is to teach the essential skills I have acquired in the last 6 years including applied predictive modeling, machine learning, and R programming.
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What You'll Learn
- Generate a website using R and RStudio.
- Personalize the website with fonts, logos and colors.
- Configure features such as contact forms, page layouts, and social media links.
- Write original content such as blog posts, tutorials, research articles, and project portfolios.
- Deploy the website to the internet using Netlify and GitHub.
- Integrate Google Analytics into the website to capture user activity and use R to analyze it.
Learning Roadmap
1.
Getting Started
Getting Started
2.
Creating and Deploying the Website
Creating and Deploying the Website
3.
Personalizing the Website
Personalizing the Website
6 Lessons
6 Lessons
4.
Wrapping Up
Wrapping Up
3 Lessons
3 Lessons
Danny Morris
I am a Principal Data Scientist in the health services industry. In the last 6 years, I have developed various statistical, machine learning, time series, and data mining solutions. My programming experience includes R, Python, SQL, and AWS.
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