Data Science con R y RStudio

R is a powerful, free and open-source software specifically designed for statistical analysis and creating insightful graphics. You can easily download and use it – it's completely free! (Learn how to download R and RStudio [here](link to download guide)). Its growing popularity stems from a relatively gentle learning curve compared to other programming languages, allowing for rapid model prototyping and excellent results.

Another key advantage is the ease of code sharing, fostering collaboration among scientists globally and accelerating research.

This course is ideal for professionals without extensive statistics or computer programming backgrounds who need to process data for informed decision-making, strategic recommendations, or hypothesis validation. Target audiences include those in Economics, Business Management, Journalism, Medical Sciences, and Psychology, among others.

Here's a breakdown of what you'll learn:

• Introduction to Data Science and R: Get acquainted with the fundamental tools of R and the integrated development environment (IDE).
• Data Transformation with dplyr: Master the core R packages for data science, enabling efficient data manipulation and cleaning.
• Data Visualization with ggplot2: Learn to create compelling and informative data visualizations using R.
• R Programming and Functions: Develop custom solutions to specific problems using R's programming capabilities.
• Applied Statistical Analysis with R: Apply a range of statistical tools in R to analyze data and solve real-world challenges.