Data Science avec Python, SQL, FastAPI, Streamlit & Docker
Learn Python with a practical project! Master SQLAlchemy modeling, APIs, and data apps. Build real-world skills and create a complete application.
Course Content
Data Science avec Python, SQL, FastAPI, Streamlit & Docker is an all-levels Udemy course taught by Josué AFOUDA. It runs 8h 49m, is taught in French, and includes a certificate of completion. Learners rate it 4.6 out of 5 from 115 reviews, with 448 students enrolled. It is a paid course, last updated July 2025.
Become a Versatile Data Consultant: Build a Real-World Data Ecosystem
Ready to become a sought-after Data Consultant capable of managing projects from start to finish? This comprehensive course is designed for you!
Immerse yourself in a practical and engaging learning experience. You'll take on the role of a consultant at CineData Insights, a fictional company aiming to transform raw film data into an intelligent platform.
Your mission: Design a modern data ecosystem around cinema, progressing through three key stages:
- Data Modeling & Centralization: Utilize SQLite to model and centralize your film data.
- API Development with FastAPI: Build a secure and well-documented REST API using FastAPI and SQLAlchemy. Containerize your API with Docker and deploy it to the cloud.
- Real-time Data Visualization: Create an interactive data visualization application using Streamlit, powered by your API.
This captivating and immediately reusable project is perfect for your professional portfolio, interviews, and freelance missions.
What You Will Learn:
- Relational Database Design: Design a relational database from CSV files.
- Robust REST API Creation: Create a robust REST API with FastAPI and SQLAlchemy.
- API Deployment: Deploy your API on Render or locally using Docker.
- Python SDK Development: Create and publish a Python SDK to interact with your API on PyPI (The Python Package Index).
- Data Analysis with API Integration: Query the API from a Python notebook for data analysis.
- Interactive Web Applications: Develop a Streamlit web application connected to your API.
- Data Visualization & Insights: Present interactive cinema insights to end-users.
- Full Project Management: Manage a complete data project, from A to Z, like a professional.
Why Choose This Course?
Tired of tutorials that don't deliver a complete solution? This course focuses on building a fully functional system.
This project equips you with in-demand skills:
- FastAPI, SQLAlchemy, SQLite: Master these core technologies.
- Streamlit, Python SDK, Docker, VSCode: Gain proficiency in essential development tools.
- Git, GitHub, Technical Documentation: Learn best practices for version control and documentation.
- Cloud & Deployment: Understand cloud deployment strategies.
Portfolio-Ready Project: This is the perfect project to showcase on your GitHub.
Learn by Doing: Enjoy learning with a practical and engaging case study.
Prerequisites:
- A solid foundation in Python (file manipulation, functions, classes).
- Basic knowledge of SQL and REST APIs is helpful but not required – all concepts are explained step-by-step.
- Comfortable with a development environment (Jupyter, code editor, terminal).
Who is This Course For?
- Python Developers: Expand your skills beyond basic data analysis.
- Data Analysts & Data Engineers: Learn to build robust APIs.
- Freelancers & Consultants: Deliver concrete, end-to-end projects.
- Anyone seeking a modern, realistic, and impressive project to add to their portfolio.
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