IBM Data Science Professional Certificate

Repository Overview

Welcome to my IBM Data Science Professional Certificate repository! As the student and contributor to this course, I've organized all the exercise materials and projects completed during the program in this repository.

Contents

This repository includes:

• Code: Jupyter notebooks, SQL scripts and Python code.
• Projects: Real-world projects showcasing data science skills.
• Labs: Hands-on exercises in the IBM Cloud with practical skills.

Tools and Technologies

I've utilized a variety of tools and libraries such as:

• Jupyter / JupyterLab
• GitHub
• Python
• Watson Studio
• Pandas, NumPy, Matplotlib, Seaborn, Folium, and more.

Project Highlights

Explore diverse projects covering:

1. Extracting and graphing financial data with Pandas in Python
2. Using SQL to query census, crime, and school demographic data sets
3. Wrangling data, creating plots, and building regression models
4. Developing a dynamic Python dashboard for monitoring US domestic flight reliability
5. Applying machine learning classification algorithms to predict loan outcomes
6. Training machine learning models to predict rocket first-stage reuse in space launches

Course Information

This repository is associated with the IBM Data Science Professional Certificate course. For more details about the program, you can visit the official course website.

Author

Francesco Cardinale