Data Analyst Capstone Project

End of Coursera's Google Advanced Data Analitycs course.

In the project, the main goal is to analyze the data and to build a model that predicts whether or not an employee will leave the company. The notebook is divided in 4 steps:

1. Package import and dataset load
2. Data exploration and visualization
   • Understand the variables
   • Clean the dataset (missing data, redundant data, outliers)
   • Boxplots, scatterplots, histograms and heatmaps
3. Model building in 2 methods
   • Model approach A: Logistic Regression
   • Model approach B: Tree-based Machine Learning
4. Results and evaluation
   • Summary of model results
   • Conclusion and next steps