Data Science with Tableau and R Training in Madrid, Spain

This course is designed to provide participants with a solid foundation in data science using R programming and Tableau for data visualization. The course covers statistical analysis, data preprocessing, predictive modeling, and creating interactive dashboards to derive business insights. It is ideal for analysts, data enthusiasts, and professionals aiming to combine analytical programming with powerful data visualization tools.

Introduction to R Programming

• R environment and RStudio overview

• Data types, variables, and operators

• Data structures: vectors, matrices, data frames, lists

• Data import/export (CSV, Excel, APIs)

• Basic data manipulation using dplyr and tidyr

Exploratory Data Analysis & Statistics in R

• Descriptive statistics and data summarization

• Data visualization with ggplot2

• Correlation and hypothesis testing

• Handling missing values and outliers

Introduction to Tableau

• Tableau workspace and interface

• Connecting to data sources

• Data preparation and data blending

• Building basic charts: bar, line, scatter, maps

Advanced Analytics and Modeling

• Introduction to predictive modeling (linear regression, clustering) in R

• Building simple machine learning models with caret

• Exporting model results for visualization

• Tableau calculated fields and parameters

Dashboard Development and Capstone

• Designing interactive dashboards

• Storytelling with data in Tableau

• Using Tableau Public vs Tableau Desktop

Hands-on Exercises

Summary and Conclusion