This program is built for anyone who wants to become a working Python programmer, with a curriculum that spans data science, machine learning, data visualization, and automation. You'll start by getting comfortable with Python fundamentals before moving into three of its most essential data science libraries, like NumPy, Pandas, and Matplotlib, using them to analyze data and uncover insights. From there, you'll learn how to build predictive models using machine learning packages like scikit-learn, and put Python to work automating everyday tasks like aggregating, updating, and formatting data.
The final stretch of the program shifts toward visualization, where you'll use Matplotlib, Seaborn, Plotly, and Dash to create compelling charts, graphs, and interactive dashboards. You'll deploy your work to GitHub, giving potential employers an easy way to see what you've built. By the time you finish, you'll have hands-on experience across the full Python data science stack and the skills needed to go after entry-level roles in data science and Python engineering.