This repository contains my projects and assignments completed during the IBM Data Science Professional Certification. The certification covers a range of topics related to data science, including data analysis, machine learning, data visualization, and more.
The IBM Data Science Professional Certification is a comprehensive program that includes several courses and a final capstone project. The courses cover a range of topics, including:
- Data analysis with Python and SQL
- Machine learning with Python
- Data visualization with Python and Tableau
- Data science methodology and tools
- The capstone project requires students to apply the skills learned throughout the program to solve a real-world data science problem.
This repository contains the following:
Folders for each course in the certification program Jupyter notebooks for assignments and projects completed during each course Data files used in the projects and assignments A final capstone project folder
To run the code in the Jupyter notebooks, you will need the following:
Python 3.6 or higher Jupyter Notebook or JupyterLab Required Python libraries such as pandas, numpy, matplotlib, seaborn, and scikit-learn.
To get started, clone this repository to your local machine using the following command:
https://github.com/DanieleBocchino/Data-Science-Professional-Certification.git
Once you have cloned the repository, open the Jupyter notebooks to view the assignments and projects.
To verify the certificates, click the images to follow the links.
