Training & Events 

Are you preparing for your final year project or planning to pursue postgraduate studies? Do you want to gain a practical understanding of data analysis beyond routine software operations? ADACW presents a structured Two-Phase Data Analysis Training Program designed to build both analytical understanding and professional competence. This is not just a workshop, but a guided learning experience. 

Phase One: Foundation (Free Access)

This one week introductory virtual training focuses on building a strong analytical foundation through practical exposure to understanding research data and variable types, organizing and preparing datasets, data cleaning using Excel, descriptive statistics, introduction to the SPSS interface, identifying common research mistakes, unlocking mathematical, logical functions, plus formula syntax secrets and basic interpretation of statistical outputs. Participation is free, with limited and competitive selection and is ideal for students who require clarity before conducting full scale statistical analysis.

Phase Two: Professional Application (participation is subject to highly subsidized administrative and certification fee base on performance and attendance)

This advanced phase is designed for committed participants who are ready to move from understanding to practical execution. It includes guided installation of Excel tools and SPSS software, hands on statistical testing such as T-Test, ANOVA, Correlation and Regression, real dataset analysis practice, creating interactive dashboard, sort, filter and analyze data using power query and auto filter, professional interpretation techniques, access to training materials, , post training support, Certificate of Completion, priority access to research consultation services and recommendation letters for outstanding participants. This phase transforms foundational knowledge into measurable professional competence

Why the Two Phase Structure?

Not all participants are immediately prepared for advanced statistical work. Phase One develops the required conceptual understanding, while Phase Two equips participants with the professional skills needed for real world research application. Successful completion of Phase One provides priority invitation into Phase Two.

Eligibility

The program is open to final year university students, polytechnic and college students, recent graduates within zero to three years, prospective MSc, PhD or PGD candidates and individuals seeking to build credible research competence.

Participant Expectations

We seek applicants who are curious about how data informs real world decisions, willing to understand analysis beyond software operations, prepared to think critically and ask meaningful questions and able to commit to consistent participation. Advanced prior knowledge is not required; seriousness and dedication are essential.

Program Details

Duration: 

Phase One:2 days
Phase Two: 5 weeks Advanced Practical Extension
Mode: Virtual
Seats:40 slots 
Application Deadline: 22nd March, 2026

Limited slots are available. Early application is strongly advised.