Data analytics

Data analytics is a comprehensive practical course designed to equip learners with the skills required to collect, organise, clean, analyse, visualise and interpret data for effective decision-making. The course focuses on transforming raw data into meaningful information that can support business planning, financial management, research, operations, marketing, education and other professional activities.

Learners will develop a strong understanding of the data analytics process, including data collection, data preparation, data cleaning, exploratory data analysis, descriptive statistics, data visualisation, reporting and data-driven decision-making. The course provides practical training in spreadsheets, SQL and Python, enabling learners to work with structured datasets and perform analytical tasks using commonly applied tools and techniques.

The course also covers data modelling, database querying, dashboards, key performance indicators, trend analysis, correlation, basic regression and introductory predictive analytics. Learners will practise identifying patterns, relationships, trends and anomalies in datasets and communicating their findings through professional reports, charts and dashboards.

Practical projects and real-world business scenarios are integrated throughout the course. Learners will work with datasets, clean and transform information, perform analysis, create visualisations and present actionable recommendations. The course also introduces data quality, privacy, security, ethics and responsible use of data.

By the end of the course, learners should be able to analyse datasets, produce meaningful reports and dashboards, communicate data insights effectively and apply analytical techniques to practical business and organisational problems.