A comprehensive 20-day course covering the complete data science workflow from Python programming to machine learning and model deployment. This repository includes daily tasks, code examples, and project implementations for mastering full-stack data science.
Welcome to the Full Stack Data Science Course! This repository contains a comprehensive 20-day course designed to take you from a beginner to a proficient full-stack data scientist. You'll learn everything from Python programming and data manipulation to machine learning, deep learning, and deploying models.
The course is divided into 20 days, each focusing on a different aspect of data science:
- Day 1-2: Python Fundamentals
- Day 3: Advanced Python and Libraries
- Day 4-5: Data Manipulation with Pandas
- Day 6: Exploratory Data Analysis (EDA)
- Day 7-8: Data Visualization with Matplotlib and Seaborn
- Day 9: SQL and Database Management
- Day 10-11: Introduction to Machine Learning
- Day 12-13: Advanced Machine Learning
- Day 14: Introduction to Deep Learning
- Day 15: Data Engineering Basics
- Day 16: Model Deployment Basics
- Day 17: Docker and Containerization
- Day 18: MLOps and CI/CD
- Day 19: Data Visualization Dashboards
- Day 20: Capstone Project