In this advanced, week-long capstone course, you'll synthesize your Python expertise by designing and building a full-fledged project of your choice—be it a command-line tool, web application, or data analysis dashboard. You'll gain hands-on experience in project planning, code organization, testing, documentation, and preparing your work for sharing or deployment. Receive valuable feedback through peer review or instructor guidance.
This advanced course guides learners through the process of building robust and interactive web applications using Flask, a lightweight and flexible Python web framework. Participants will master advanced routing, dynamic template rendering, static content management, and application logic, culminating in the development of a fully functional Flask application.
This advanced two-week course empowers learners to master high-performance data analysis using Python’s NumPy and Pandas libraries. Participants will gain expertise in manipulating, cleaning, transforming, and visualizing structured datasets—building a strong foundation for advanced data science and machine learning workflows.
This advanced one-week course empowers learners to enhance Python applications by mastering third-party library management with pip and leveraging public APIs using the requests library. Participants will gain expertise in installing and managing packages, understanding PyPI, sending and handling complex HTTP requests, and parsing real-world JSON data to build robust API clients.
This advanced course immerses learners in the principles and practices of object-oriented programming (OOP) using Python. Participants will explore the core pillars of OOP—classes, objects, inheritance, encapsulation, and polymorphism—enabling them to design structured, maintainable, and reusable code. Through hands-on lessons and case studies, learners will gain the skills to model complex real-world systems using advanced OOP features and best practices in Python.
This beginner-level course introduces learners to working with files in Python, including reading, writing, and managing file paths and modes. Learners will also gain foundational knowledge of error handling, using try/except blocks, and creating custom exceptions to build more robust and reliable applications.
This intermediate course empowers learners to write reusable and organized Python code by mastering functions, modules, and packages. Covering function creation, parameters, scope, built-in and lambda functions, recursion, and modular program structure, students will develop skills to build maintainable and efficient Python projects.
This intermediate-level course explores essential Python data structures, including lists, tuples, dictionaries, and sets. Learners will understand the properties, use cases, and effective manipulation of each structure, enabling them to write efficient and robust Python code for real-world applications.
This beginner-level course introduces the fundamentals of programming using Python. Learners will explore variables, data types, input/output, and foundational control flow concepts such as conditional statements and loops. The course is ideal for those new to coding and aims to equip students with the skills to write and understand simple Python programs.