Python for Data Analysis and Visualization
The Python for Data Analysis and Visualization course is a 2-day hands-on program designed for professionals transitioning from spreadsheet-based analysis to scalable, Python-driven workflows. Participants will learn how to load, clean, transform, and analyze structured datasets using Python, Pandas, and NumPy, then present insights through clear, business-ready visuals with Matplotlib and Seaborn.
The course emphasizes practical analytics—data preparation, KPI creation, descriptive statistics, and visualization—supported by AI-assisted coding to accelerate learning and troubleshooting. Learners also explore reusable scripts and lightweight automation techniques to reduce manual reporting effort. By the end of the program, participants will be able to deliver accurate, repeatable insights that improve data quality, reporting efficiency, and decision-making.
Traditional data analysis training often relies heavily on spreadsheets and manual techniques, which can limit scalability and lead to inefficiencies. This programme takes a different approach by equipping participants with Python-based analytical skills that streamline data preparation, accelerate insight generation, and enhance reporting clarity.
This hands-on programme equips participants to analyze, transform, and visualize data using Python. Through guided labs and AI-assisted coding, learners will clean and prepare datasets, derive meaningful insights, and present results with clear, business-ready visuals. The focus is on practical workflows that reduce manual effort, improve data quality, and accelerate decision-making.