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! This Udemy course, ‘Data Science avec Python, SQL, FastAPI, Streamlit & Docker,’ is your gateway to building a modern, end-to-end data ecosystem.
This course is a 100% practical and immersive journey where you step into the shoes of a consultant tasked with transforming raw film data into an intelligent platform for ‘CineData Insights.’ The project is brilliantly structured into three core phases:
1. **Data Modeling and Centralization with SQLite:** You’ll learn to design a relational database from CSV files, laying a robust foundation for your data.
2. **Building a REST API with FastAPI:** This section is a masterclass in creating a secure, documented, and containerized REST API using FastAPI and SQLAlchemy. You’ll even learn to deploy it locally with Docker or on cloud platforms like Render.
3. **Creating a Streamlit Visualization App:** The final stage involves developing a real-time Streamlit application that pulls data from your API, allowing you to present interactive cinema insights to end-users.
**What You’ll Learn:**
The course goes beyond basic concepts, equipping you with highly sought-after skills:
* Designing relational databases from CSV files.
* Creating robust RESTful APIs with FastAPI and SQLAlchemy.
* Deploying APIs using Docker or cloud services.
* Building a Python SDK to interact with your API and publishing it to PyPI.
* Performing data analysis by querying your API from Python notebooks.
* Developing Streamlit web applications connected to your API.
* Presenting interactive insights to users.
* Managing a complete data project, from conception to deployment, like a seasoned professional.
**Why This Course Stands Out:**
If you’re tired of incomplete tutorials, this course is a breath of fresh air. It focuses on building a complete, functional system. The project is an excellent addition to your professional portfolio, invaluable for interviews, and directly applicable to freelance projects. You’ll gain hands-on experience with:
* FastAPI, SQLAlchemy, SQLite
* Streamlit, Python SDK, Docker, VSCode
* Git, GitHub, Technical Writing/Documentation
* Cloud deployment and best practices
**Prerequisites:**
A solid foundation in Python (file manipulation, functions, classes) is necessary. While prior knowledge of SQL and REST APIs is beneficial, it’s not mandatory as everything is explained step-by-step. Familiarity with development environments like Jupyter, code editors, and the terminal is also helpful.
**Target Audience:**
This course is ideal for Python developers looking to move beyond traditional data analysis, data analysts and engineers aiming to build APIs, freelancers and consultants wanting to deliver end-to-end projects, and anyone seeking a modern, realistic, and impressive project for their portfolio.
**Recommendation:**
This course offers a comprehensive and practical approach to building a complete data science application. The project-based learning methodology ensures you gain tangible skills that are in high demand. If you’re looking to elevate your data career and build a standout portfolio, this course is a must-have.
Enroll Course: https://www.udemy.com/course/data-science-avec-python-sql-fastapi-streamlit-docker/