This repository contains materials related to a Python intensive course focused on Data Science, which I completed during my 7th semester at Tecnologico de Monterrey while pursuing a Bachelor's degree in Industrial and Systems Engineering.
During this course, I gained valuable knowledge and skills in Python programming, data analysis, and data visualization. The materials in this repository serve as a record of my coursework and projects.
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Programming: I learned how to use Python for data manipulation, analysis, and visualization. This includes working with libraries like NumPy, pandas, and Matplotlib.
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Data Analysis: The course covered various data analysis techniques, including statistical analysis, data cleaning, and feature engineering.
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Projects: I completed hands-on projects that demonstrate my ability to apply data science concepts to real-world problems.
If you're interested in the materials from this course, you can explore the contents of this repository. Feel free to review the code and projects to get a sense of the skills I developed during the course.
If you come across any errors or have suggestions for improvements, please don't hesitate to open an issue or submit a pull request. Your feedback is valuable and can help enhance the quality of this repository.
Note: This documentation serves as a summary of my Python intensive data science course. For more detailed information about specific topics, projects, or assignments, please refer to the respective directories and files within this repository.