Hi, I'm Carla and I'm training to become a data analyst. In this repository you will find my final evaluation of Module 3 on Data Transformation and Visualization.
In this repository, you will find the solution to the exercises of the final exam of module 3 of the Adalab Data Analysis Bootcamp, carried out by the student Carla Biscotti. The content of Module 3 is decribed below:
- ✔️ Phyton libraries Pandas, Numpy, Matplotlib, Seaborn
- ✔️ Exploratory Data Analysis
- ✔️ Data cleaning and transformation
- ✔️ Data visualizations
- ✔️ ETL and Pipeline process
- ✔️ A/B Testing
- Python and Python libraries: Pandas, Numpy, Matplotlib, Seaborn
- Jupyter Notebooks
- Fork the repository
- Execute the file '01_exploration_and_clean_up.ipynb'
- Execute the file '02_visualizations.ipynb'
- My teacher during this module, César Valle, for his dedication and patiance. Also a special mention to Carla Álvarez López, for her support and Git Master Class 🌱.
- My teammates from promotion Inez Vázquez, for their support and for making this journey an enjoyable one.
- Adalab for granting the Bootcamp.
- My family and friends for their support✨.
Learn more about the bootcamp at https://adalab.es/