Gain the skills to become a Python Programmer through hands-on training in data science, machine learning, automation, and data visualization. You’ll start with programming fundamentals and Python’s core libraries—NumPy, Pandas, and Matplotlib—before advancing to machine learning with scikit-learn and applying automation to streamline tasks. In the final stage, you’ll design visualizations and interactive dashboards with Matplotlib, Seaborn, Plotly, and Dash, publishing projects on GitHub to showcase your work and prepare for entry-level data science and Python development roles.