Python Files from the Global Career Accelerator

Welcome! This repository contains Jupyter Notebooks created as part of the Global Career Accelerator program.

Table of Contents

• Overview
• Getting Started
• Notebooks
• Contributing
• License

Overview

This collection includes various Python notebooks covering topics such as data analysis, visualization, and machine learning.

Getting Started

To run these notebooks:

1. Clone the repository.
2. Install Jupyter Notebook:
   pip install notebook
3. Launch with:
   jupyter notebook

Notebooks

• M1_SD.ipynb: Exploring commands in Python using print statements and creating new lists
• M2_SD.ipynb: Exploratory Data Analysis using revenue generated by popular clothing brand, ASOS
• M3_SD.ipynb: Using dictionaries and keys to explore Division 1 American Football Teams
• M4_SD.ipynb: Generating a guessing game to determine a random & secret number
• M6_SD.ipynb: Exploratory Data Analysis to investigate insights and trends among NYC's Public School District
• M7_SD.ipynb: Data Inspection and Cleaning using insights from the International Olympics Committee
• M8_SD.ipynb: Identifying habitable environments on an unknown planet using data from NASA
• Dr. Who-SD.ipynb: Generate a personality quiz to determine simliar characteristics across well-known Data Analysts
• Grammys-SD.ipynb: Perform A/B testing on two websites: Grammy.com and RecordingAcademy.com to determine auidence volume across the two split websites, along with their original combined website

Contributing

Contributions are welcome! Please open an issue or submit a pull request for improvements.

License

This project is licensed under the MIT License.