Level up from Python basics to writing powerful, real-world Python for data, AI, and automation. Master classes and dataclasses, comprehensions and generators, decorators, context managers, robust error handling, type hints, packaging, working with files and APIs, and a practical intro to async. Hands-on examples and a free certificate of completion.
4 módulos • 11 aulas
Master data structures and algorithms with hands-on Python practice. Run real code in your browser: Big-O analysis, stacks, queues, linked lists, hash tables, recursion, searching, sorting, trees, graphs, and the interview patterns that tie them together.
Already know basic Python? Build one real thing end to end: a small AI data app that loads a dataset, sends a slice of it to a language model, and turns the response into a written analysis. You will use pandas only as much as the app needs, call an LLM API directly (no agents, no frameworks), wire the pieces into a single script with real error handling, and ship it as a shareable Streamlit app you can run locally. A project-based intermediate course with a free certificate of completion.
Learn Python from zero with a focus on AI and data science. Master the language essentials, then use ChatGPT, Claude, and Gemini as coding tutors while you build real projects with NumPy, pandas, matplotlib, and scikit-learn. Perfect for university students and early-career learners. No prior coding required, and you earn a free certificate to add to your LinkedIn and resume.
Master web scraping techniques using Python. Learn to extract data from websites using BeautifulSoup and Selenium, handle pagination, deal with anti-scraping measures, and build production-ready data pipelines while following ethical practices.
Learn Python from scratch by building 8 mini-projects you run in your browser, from a tip calculator to a flashcard quiz app. No install, no signup to start, and a free certificate. Powered by Pyodide.
Master data visualization using Matplotlib and Seaborn. Learn to create compelling visualizations from basic plots to advanced statistical charts. Practice with real datasets and build visualization skills for data science, analytics, and business reporting.