The goal of this group is to help you navigate the complex and rapidly evolving world of data science and artificial intelligence. This is your hub to stay up-to-date on the latest trends, learn specialized skills to turn raw data into valuable insights, connect with a community of like-minded individuals, and ultimately, become a Data Alchemist. Together, let's decode the language of data and shape a future where knowledge and community illuminate our way. Rules - Don't sell anything here or use Data Alchemy as any kind of funnel - We delete low effort community posts, and posts with poor English. Proofread your post first. - Help us make the posts high quality. If you see a low quality post, then click on the 3 dots on the post and "Report To Admins". Start by checking out these links - Classroom - Introduction - Roadmap - Contribution Be Aware of Scammers - Please be aware that this is a public group. Unfortunately, some people abuse the Skool platform to send DMs or post comments to trick people. This is the internet, so always do your own due diligence. Never automatically trust someone here on the Skool platform other than @Dave Ebbelaar's official account. To kick things off, please comment below, introducing yourself. Let us know: 1. Your name and where you're from 2. What project(s) you're currently focused on See you in the comments!

🚀 Excited to Share My Latest Project! 🚀 Hello Community,I’m thrilled to introduce my latest project – a Streamlit Data Visualization and Analysis App! This tool is designed to automate data summarization, generate insightful questions, and provide visualizations to help users understand their data better. It's a robust solution for data analysts, researchers, business intelligence professionals, and educators. Key Features: Tech Stack: Streamlit: For creating an interactive and user-friendly interface. LIDA (Language Interface for Data Analysis): Powers data summarization, question generation, and visualization. OpenAI GPT-3.5 Turbo: Utilized for generating natural language summaries and questions.Pandas: For data manipulation and analysis. Matplotlib and Seaborn: Used to create comprehensive visualizations. Use Cases:Data Analysts: Quickly gain insights and visual representations of large datasets. Researchers: Automate the analysis process, making it easier to interpret research data. Business Intelligence: Generate detailed reports and visualizations to support decision-making. Educational Purposes: Teach students how to analyze and visualize data effectively. This project leverages advanced technologies to make data analysis more accessible and insightful. I'm incredibly proud of the work that's gone into it and the potential impact it can have.