School of Analytics

The School of Analytics provides individuals with the skills and knowledge needed to excel in data analytics. The School of Analytics is an institution designed to equip both undergraduates, graduate and young professionals with data analytics tools and techniques to derive valuable insights for efficient decisioning.

The school of analytics offers a variety of learning tracks, tailored to specific areas of analytics expertise, which include Business Analysis, Data Analytics with Power BI and Tableau, and SQL for Data Analytics. The hands-on practical approach to learning ensures that students develop proficiency by engaging them in real-life scenarios analytics practice that would enhance their problem-solving abilities.

By attending the School of Analytics, participants would gain a competitive edge in the job market, as data analytics skill continue to be on high demand across industries all over the globe. Participants would become equipped with the expertise to extract insights from data that would optimise processes, drive innovation that would help organisations to stay ahead of the competition.

Equip Yourself with

Business Analysis is a comprehensive 8-weekend course designed to provide global youths with deep understanding of analytical tools and techniques necessary for achieving business success, equipping the participants with the skills to analyse data and derive valuable insights.

Data Analytics with Power BI and Tableau is a 12-weekend Learning programme that equips participants with skills to harness data visualization tools to derive meaningful insights, enabling participants to effectively analyse and present data using Power BI and Tableau for data-driven decision-making.

SQL for Data Analytics is an intensive 8-weekend training programme that enables participants to master the SQL language, a fundamental tool for data manipulation and analysis. This course equips students with the skills to effectively retrieve, organize, and analyze data using SQL, empowering them to work with large datasets and extract valuable information.

Learning Outcome

Equip participants with the skills and knowledge required to excel in the field of analytics.

Learning Objectives

At the end of the course, participants should be able to effectively:

Effectively analyse data, derive meaningful insights, and present reports for effective decisioning.
Gain proficiency in various aspects of analytics, including business analysis techniques, data visualization with Power BI and Tableau, and SQL for data manipulation and analysis.