Python - Complete Python, Django, Data Science and ML Guide

About this course

This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge and deepen your understanding as you progress through the course. 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.

Course objectives

• prepare students to build Python applications
• create robust Django web projects
• perform data analysis and visualization
• implement machine learning solutions