mindful-ai-assistants / storytelling

🎭 Storyteling for Data Science and Artificial Intelligence - PUC-SP University

[🇧🇷 Português] [🇺🇸English]

🎭 STORYTELLING

for Data Science and Artificial Intelligence - PUC-SP University

Welcome to the Storytelling repository! This repository is dedicated to the Storytelling discipline taken in the 1st semester of 2024 in the Data Science and Artificial Intelligence undergraduate program at the Pontifical Catholic University of São Paulo (PUC-SP).

We extend our sincere gratitude to Professor ✨ Rooney Ribeiro Albuquerque Coelho for his invaluable guidance and expertise throughout this course. His dedication to excellence in teaching has been instrumental in shaping our understanding of storytelling and data science.

📊 Table of Contents

• About
• Projects
• Resources
• Readings
• Python Libraries
• Contributing
• License

📜 About Storytelling

Storytelling is the art of telling stories, essential in Data Science and Artificial Intelligence for effectively communicating findings and insights.

Through Storytelling, students learn to transform raw data into stories that inform, persuade, and inspire. This is crucial because while data analysis can reveal valuable insights, these insights are useless if they cannot be effectively communicated.

The Storytelling discipline in the Data Science and Artificial Intelligence undergraduate program at PUC-SP aims to equip students with the necessary skills to tell effective stories with data.

• Key Storytelling concepts include:

  
  

  • Narrative: The structure and flow of the story you are telling with your data.
    

  • Data Visualization: The graphical representation of data to highlight trends and patterns.
    

  • Context: The background information that helps frame and interpret the data .
    

  • Simplicity: The ability to convey complex information in a simple and easy-to-understand manner.
    

📚 Projects

Here, you will find a variety of projects developed during the course. ach project is an opportunity to explore and apply the concepts learned in the classroom, allowing us to tell powerful stories with data.

Explore notable projects developed during the course. Each project is an opportunity to apply classroom concepts and create compelling data stories.

✨ Highlighted Projects

• project_1 - Python Code Analyzes

• project_2 - Creating Graphics using Matplotlib

• project_3 - Analyzing Public Safety Data by Region

• project_3 - Public Safety Data Folium Heat Map Analyze

• project_4

🛠️ Resources

This repository also contains links to the main libraries and platforms used during the course, essential for the development of our projects and to enhance our skills in data science and storytelling.

If you're looking for more resources related to storytelling and data science, check out the following:

✨ Additional Resources

• Articles on Effective Data Storytelling
  

• Tutorial on Data Visualization Techniques
  

• Utilizing Pandas AI for Data Analysis - KDnuggets

• AI & Machine Learning for Data Sciense Community

• Gamma AI

• Streamlit

📖 Readings

Additionally, we provide files of books studied during the program. These readings complement our classroom learning into the art and science of storytelling.

• Automation of Systems and Processes Using Python

• Introdution to Protocol HTTP

• Introduction to Python - Boston Univerity
  

• Storytelling with Data - Cole Nussbaumer Knaflic
  

• Python Data Science Handbook, Essential Tools for Working with Data - Jake VanderPlas

• Vector Quantized Predictive Models for Planning - Scales to DeepMind Lab

🐍Python Libraries

• NumPy: Python library used for working with arrays. It also has functions for working in the domain of linear algebra, Fourier transform, and matrices.
  

Copyright 2024 Mindful-AI-Assistants. Code released under the MIT license.

storytelling's Issues

header

storytelling_header

new storytelling art