Python Data Science Day: Comprehensive Workshop on Data Analysis and AI Technologies

Immerse yourself in an 8-hour conference dedicated to Python and Data Science, featuring expert talks and demonstrations from industry professionals. Explore cutting-edge topics such as Microsoft Fabric for data science, revolutionizing workflows, RAG using Semantic Kernel with Azure OpenAI, simplifying data analysis with AI, and streamlining data preparation with Pydantic. Discover how to supercharge your data science projects using GitHub tools, build machine learning models with Microsoft Fabric's Synapse, and implement image classification using Convolutional Neural Networks. Gain insights into real-world applications, including food waste reduction, payment prediction, and image similarity search in Azure Cosmos DB. Learn about automated evaluation of LLM apps, OCR text extraction for NLP, and breaking data silos with Semantic Link. From beginner-friendly sessions to advanced techniques, this comprehensive event covers a wide range of data science topics, providing valuable knowledge and practical skills for professionals and enthusiasts alike.

Welcome to Python Data Science Day ⚡
Microsoft Fabric for Data Science, Jasmine Greenaway and Ismaël Mejía⚡
Revolutionizing Data Science Workflows, Sumukh M G ⚡
RAG using Semantic Kernel with Azure OpenAI and Azure Cosmos DB for MongoDB vCore, John Aziz
Simplifying Data Analysis & Visualization for non-Python devs with AI, Nitya Narasimhan PhD
Getting started with Python using Data Wrangler in Microsoft Fabric, Sandeep Pawar ⚡
Buddy Driven Development, Bethany Jepchumba ⚡
Supercharging your Data Science projects with GitHub tools, Carlotta Castelluccio
Streamlining Data Preparation with Pydantic: A 25-minute Guide, Hasan Özdemir
Level Up Your ML Game: Building Models like a Pro with Microsoft Fabric's Synapse, Vinayak Gavariya ⚡
Python Data Science Skilling - Cloud Skills Challenge, Aaron Stark ⚡
Dog vs Cat Classification Using Convolution Neural Network, Jyothi Swaroop Makena
FoodFighters Introduce the Foodwaste Hack, Alex Dean, Allgeier Schweiz
Microsoft Fabric Hackathon Project Overview - AP Payment Prediction, Andrew Boerger and Mark Behne
Beyond Keywords: Image similarity search in Azure Cosmos DB for PostgreSQL, Foteini Savvidou ⚡
Data Wrangler, Jeffrey Mew ⚡
Microsoft Fabric for Python Developers, Eren Orbey
Automated evaluation of LLM apps with the azure-ai-generative SDK, Pamela Fox
Analytics Solution over Document Repository with Microsoft Fabric and Azure OpenAI ⚡
PIInovators Demo ⚡
Application of Azure Computer Vision OCR Service in Extracting Text for NLP, Theophilus Owiti
Empowering Data-Driven Innovation: A Journey through Real-World Applications, Abdullah Awan
Breaking Data Silos with Semantic Link in Microsoft Fabric, Sandeep Pawar
Data Science: The Bear* Necessities, Renee Noble