Python for Data Analytics

Data analytics has become an important skill for professionals who work with reports, business data, dashboards, operational information and decision-making inputs. Python provides a practical way to import, clean, transform, analyse and visualise data using tools such as Jupyter Notebook, Pandas, NumPy, Matplotlib and Seaborn.

This programme introduces participants to Python foundations for data analytics and then moves into practical data handling, cleaning, analysis and visualisation. Participants learn to work with Excel, CSV and other common data sources, perform summary analysis, identify trends and outliers, and develop a practical dashboard or analytical report for business decision-making.