Full stack Data Scientist Guide

Whether you're an aspiring data scientist or looking to level up your skills, this guide will provide insights into:

✅ Core Data Science Skills – Statistics, machine learning, deep learning, and AI fundamentals.

✅ End-to-End Workflow – Data cleaning, feature engineering, model training, evaluation, and optimization.

✅ Tech Stack & Tools – Python, SQL, Pyspark, TensorFlow, PyTorch, AWS/Azure, and more.

✅ Deployment & Scaling – Model deployment using Flask, FastAPI, or cloud platforms.

✅ Career & Project Guidance – Building a strong portfolio, preparing for interviews, and choosing the right projects.

This session is perfect for beginners, professionals transitioning into data science, or experienced data scientists looking to enhance their full-stack capabilities. Let's accelerate your data science journey!