Enroll Course: https://www.udemy.com/course/data-science-avec-python-sql-fastapi-streamlit-docker/
Are you dreaming of becoming a versatile Data Consultant, capable of managing a project from start to finish? Look no further than this comprehensive Udemy course, “Data Science avec Python, SQL, FastAPI, Streamlit & Docker.” This isn’t just another theoretical walkthrough; it’s a 100% hands-on, immersive journey where you step into the shoes of a consultant tasked with transforming raw movie data into an intelligent platform for a fictional company, CineData Insights.
The course is structured around three core pillars, guiding you through the creation of a modern data ecosystem for the cinema industry. First, you’ll dive into data modeling and centralization using SQLite, learning to design a relational database from CSV files. This foundational step ensures your data is organized and accessible.
Next, the course tackles the construction of a robust REST API using FastAPI. You’ll learn to secure, document, and containerize your API with Docker, preparing it for cloud deployment. The practical application of SQLAlchemy for API development is thoroughly explained, making complex concepts digestible. A particularly impressive feature is the creation of a Python SDK for your API, which you’ll even learn to publish on PyPI – a significant skill for any developer.
Finally, you’ll build a Streamlit application that consumes data from your API in real-time. This allows you to present interactive cinema insights to end-users, bringing your data project to life. The ability to query the API from a Python notebook for data analysis further solidifies your understanding of the entire data pipeline.
What sets this course apart is its project-based approach. You’re not just learning individual tools; you’re integrating them into a cohesive, real-world system. The skills you’ll acquire are highly sought after in the market, including FastAPI, SQLAlchemy, SQLite, Streamlit, Python SDKs, Docker, VSCode, Git, GitHub, technical writing, and cloud deployment best practices. This project is a perfect, immediately reusable asset for your professional portfolio, interviews, or freelance endeavors.
While a good foundation in Python is necessary, the course is designed to be accessible even if your SQL and REST API knowledge is limited, as everything is explained step-by-step. You’ll need to be comfortable with your development environment, including tools like Jupyter, code editors, and the terminal.
This course is ideal for Python developers looking to expand beyond traditional data analysis, data analysts and engineers aiming to build APIs, and freelancers or consultants wanting to deliver complete, end-to-end projects. If you’re seeking a modern, realistic, and impressive project to showcase your skills, this course is an exceptional choice. It offers a fun and practical way to learn by doing, culminating in a tangible project you can be proud of.
Enroll Course: https://www.udemy.com/course/data-science-avec-python-sql-fastapi-streamlit-docker/