Certification in Data Analytics

The Professional Certification in Data Analytics is designed to provide learners with the practical knowledge and technical skills required to transform raw data into meaningful insights for business, research, education, and organisational decision-making.

The certification introduces the complete data analytics process, including data collection, data cleaning, data preparation, exploratory analysis, statistical interpretation, data visualisation, dashboard development, reporting, and presentation of findings.

Learners will gain practical experience with commonly used analytics tools such as Microsoft Excel, SQL, Power BI, and introductory Python. They will learn how to organise datasets, identify patterns and trends, calculate key performance indicators, create interactive dashboards, and communicate analytical findings clearly to technical and non-technical audiences.

The programme also covers data quality, privacy, ethical data use, descriptive statistics, correlation, regression fundamentals, and evidence-based decision-making. Through guided lessons, practical exercises, case studies, and a final analytics project, participants will develop job-ready skills for entry-level data analytics roles.

Upon successful completion, participants should be able to:

Explain the principles and stages of the data analytics process.
Collect, organise, clean, and validate structured data.
Use Excel formulas, functions, pivot tables, and charts for analysis.
Write basic SQL queries to retrieve, filter, group, and summarise data.
Create professional reports and interactive dashboards in Power BI.
Apply introductory Python techniques for data analysis.
Calculate and interpret descriptive statistics and key performance indicators.
Identify patterns, trends, relationships, and anomalies within datasets.
Present analytical findings through clear visualisations and written reports.
Apply data privacy, accuracy, and ethical standards during analysis.
Complete an end-to-end data analytics project using a real or simulated dataset.

This certification is suitable for students, graduates, researchers, business professionals, administrators, finance staff, marketers, entrepreneurs, freelancers, and individuals interested in developing practical data analytics skills.

Applicants should meet the following requirements:

Minimum Intermediate, Higher Secondary School Certificate, or equivalent qualification.
Basic computer and internet literacy.
Basic understanding of mathematics and percentages.
Ability to understand instructional material in English.
Access to a computer or laptop with a stable internet connection.
Access to Microsoft Excel or an equivalent spreadsheet application.
No previous programming, SQL, or data analytics experience is required.

Learners will be assessed through module quizzes, practical data exercises, analytical reports, dashboard development, and a final capstone project.

Assessment structure:

Module quizzes: 20%
Practical assignments: 35%
Dashboard and analytical report: 20%
Final data analytics project: 25%
Minimum passing score: 60%
Completion of all compulsory learning activities is required.
Learners must submit original analysis and supporting files.
Final submissions may include datasets, spreadsheets, SQL queries, dashboards, charts, and written findings.
Learners may be required to present or explain their analytical approach and conclusions.