Enroll Course: https://www.udemy.com/course/data-science-avec-python-sql-fastapi-streamlit-docker/
Are you ready to elevate your data science expertise and become a versatile data consultant? The course “Data Science avec Python, SQL, FastAPI, Streamlit & Docker” on Udemy offers a comprehensive, hands-on learning experience designed to take you from foundational skills to deploying full-fledged data projects. This course immerses you in an engaging storyline where you play the role of a data consultant tasked with transforming raw movie data into an intelligent cinema platform for fictitious company CineData Insights.
Throughout the course, you will learn to model and centralize data using SQLite, build secure and documented RESTful APIs with FastAPI, deploy your API with Docker, and create interactive visualizations with Streamlit. The real-world project methodology ensures that you’ll not only learn the technical skills but also how to manage a complete data project from start to finish—creating a portfolio-worthy project that impresses potential employers or clients.
What makes this course stand out? It is entirely practical and project-based, guiding you step-by-step through building a real-world ecosystem. Whether you’re a developer, data analyst, or freelancer, this course equips you with in-demand skills like API development, cloud deployment, and interactive app creation, all within a modern data pipeline. The curriculum is designed to be accessible, starting with Python basics and progressively introducing advanced concepts, making it suitable even if you have limited experience in SQL or APIs.
By completing this course, you’ll have a robust project that demonstrates your ability to handle end-to-end data solutions—perfect for your portfolio, interviews, or freelance pitches. Join now to turn your data skills into a powerful career asset and learn how to manage data projects with confidence and professionalism.
Enroll Course: https://www.udemy.com/course/data-science-avec-python-sql-fastapi-streamlit-docker/