A structured, hands-on tutorial series covering Python fundamentals, data science, machine learning, and advanced topics.
Master Python fundamentals: variables, data types, control flow, functions, OOP, error handling, and more.
Explore the data science ecosystem: NumPy, Pandas, Matplotlib, Seaborn, and Scikit-learn with practical examples.
Deep-dive into NumPy advanced ops, Pandas mastery, SciPy, advanced visualizations, and end-to-end DS pipelines.
Big data processing with Apache Spark, Delta Lake, MLflow, and Databricks notebooks in a cloud environment.
Neural networks, TensorFlow, PyTorch, CNNs, RNNs, and modern deep learning techniques.
Azure SDK, cloud automation, serverless functions, storage, and DevOps integration with Python.
Follow this structured path from beginner to data science expert.