Python Programming Lab Sessions

The Python Programming Lab Sessions are a 10-week hands-on training series designed to develop applied data science skills using Python. Each week focuses on a critical stage of the data science process, beginning with data loading, inspection, and preparation, followed by cleaning, transformation, and feature wrangling. Learners then advance through exploratory analysis, KPI engineering, and feature development for supervised models. The program continues with data splitting, preprocessing, model building, evaluation, and optimization, before concluding with unsupervised learning, time series analysis, deployment, and automation. Each session includes example codes to guide lab-based practice. This lab practice is part of our Python Specialization related courses and Certificate Programs, offering a practical pathway for learners aiming to build real-world Python expertise in data science.