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Learn Python programming, starting with the basics like variables, data types, operators, and control flow. Then move into more advanced topics such as object-oriented programming (OOP), error handling, and important Python features like magic methods, decorators, and lambda functions.
The course progresses into Django web development, where you’ll learn how to create projects, manage databases, and develop APIs. You'll also explore routing, authentication, and security practices for building dynamic, full-stack web applications. The game development module using Pygame lets you create interactive, fun projects.
For data science, you'll use Jupyter Notebooks, Pandas, and Matplotlib to analyze data, visualize patterns, and perform deep dives into real datasets. Machine learning with Scikit-learn teaches you how to build, train, and implement machine learning models with real-world data.
By the end of the course, you’ll be prepared to build Python applications, create robust Django web projects, analyze data, and implement machine learning solutions.
This course is perfect for learners with basic programming knowledge, aspiring developers, data scientists, and machine learning enthusiasts eager to advance their skills or transition into a tech career.
Applied Learning Project
Throughout the course, you will build multiple projects, including interactive Python applications, a Django-powered web app with authentication, a data science project using Pandas for data manipulation and Matplotlib for visualization, and a machine learning model using Scikit-learn. You will also work on a game development project with Pygame, applying object-oriented programming principles. These hands-on exercises will solidify your understanding and prepare you for real-world development, giving you practical experience in building both web and data-driven applications.
