This course provides practical training in data analytics using SQL and Python, two essential tools widely used for managing, analysing, and extracting insights from large datasets. It is designed to equip learners with the technical skills required to work with structured data and perform advanced data analysis.
Participants will learn how to use SQL to query, retrieve, and manage data from relational databases, as well as how to apply Python for data manipulation, analysis, and visualisation. The course introduces key analytical techniques, including data cleaning, data exploration, and the generation of meaningful insights from complex datasets.
Through hands-on exercises and real-world datasets, learners will develop the ability to combine SQL and Python to analyse data efficiently and support data-driven decision-making. By the end of the course, participants will be able to work confidently with databases, perform analytical tasks, and present insights that support organisational and business objectives.