R Data Science Project
Learn practical R data science skills through hands-on tutorials covering exploratory analysis, machine learning, data visualization, and building interactive web applications with Shiny.
R Shiny Web Application
Learn to create interactive web applications using R Shiny, from basics to advanced features like data-driven apps and machine learning integration. Deploy your creations on Heroku.
Using Python in a Traditional Office Environment
Estrategias para integrar Python en entornos de oficina tradicionales, incluyendo generación de reportes, automatización de tareas y desarrollo de aplicaciones para usuarios no programadores.
Conceptual Overviews of Statistical and Data-Analytic Tools and Techniques
Explore key statistical and data analysis methods, from hierarchical regression to survival analysis, with conceptual overviews of advanced techniques and tools.
Shinylive - Running R and Python Dashboards Without a Server Using Web Assembly
Master browser-based deployment of R and Python Shiny Dashboards using Web Assembly, eliminating server dependencies while maintaining interactive data visualization capabilities.
Web Apps in R - Building Your First Web Application in R - Shiny Tutorial
Learn to build your first web application in R using Shiny. This tutorial covers the basics of Shiny, its structure, and how to create a simple, reactive app with customizable themes and interactive elements.
Develop Custom Web Dashboards in R with Shiny
Create interactive data visualization dashboards using R's Shiny package. Learn to develop and deploy web-based applications for effective data presentation and analysis.
Shiny - Creating Data-Centric Web Applications in Python
Discover how to build data dashboards and interactive visualizations using Shiny for Python - a framework that eliminates the need for HTML, CSS, and JavaScript while leveraging Transparent Reactive Programming concepts.