From basics to AI with Python, NumPy, Pandas, Matplotlib, Plotly, and PyTorch
Real-world coding exercises, projects, and visualizations across multiple domains
In-depth coverage of algorithms, OOP, file handling, and unit testing with pytest
This course is ideal for beginners in programming, aspiring data scientists, and professionals seeking to expand into Python and AI. No prior coding experience is required, but a basic familiarity with mathematics will help in later sections.
This course is designed to transform beginners into skilled programmers by starting with Python essentials and building steadily toward advanced concepts. Early sections focus on syntax, control flow, loops, and data structures, ensuring a solid grounding in the language. From there, you’ll apply these skills in projects like Turtle Graphics and coding exercises that strengthen problem-solving abilities.
Once the core programming skills are in place, the journey moves into critical computer science foundations such as recursion, searching, sorting algorithms, and object-oriented programming. You’ll then progress into professional practices like error handling, file management, and unit testing, giving you the same toolkit developers use in real-world applications.
The final phase dives into data science and AI. You’ll learn data manipulation with NumPy and Pandas, create meaningful visualizations with Matplotlib and Plotly, and explore image processing techniques. The course culminates in PyTorch fundamentals, introducing GPU-powered computation and tensor operations that form the backbone of modern machine learning. By the end, you’ll have both the knowledge and confidence to work with data-driven technologies at scale.