In this short, you’ll get a clear Python for Data Science roadmap to help you stay ahead in 2026. We walk through the complete learning path, starting with Python basics like variables, loops, functions, and core libraries such as NumPy and Pandas. You’ll then move into data visualization using Matplotlib and Seaborn, followed by data cleaning and preprocessing techniques. The roadmap also covers machine learning with Scikit-learn and advanced deep learning concepts using TensorFlow and Keras. With AI and data science roles booming in 2026, this roadmap helps you understand exactly what skills to master and in what order to become job-ready.