We have 15 years of experience and expertise in training SPSS, STATA, EVIEWS, SPSS AMOS and SmartPLS. We are also expert in business intelligence and decision making via Tableau, Advanced Excel, Project Management and Python modelling for data science projects and Artificial Intelligence (AI). With a dedicated, knowledgeable and supportive team, we seek to impact your business growth and transfer knowledge through our weekly training sessions.


Learn Tableau to help you see, understand and visualize data for informed business decisions.

Advanced Excel

Learn important fundamental applications, formula and functions in Microsoft Excel for in-depth data understanding and visualization. Learn about data validation, Progress Tracker, Gantt Chart, Pivot Tables, HLOOKUP, VLOOK UP, Vstack Function and may more functions.

Project management

Learn how to plan a project, execute key project deliverables, monitor and evaluate project progress, close the project and hand over the project to users using ProjectLibre software.


Master on how to undertake Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA) and Structural Equation Modeling (SEM) using SPSS AMOS and SmartPLS.


Learn how to build data science projects and models using Python. Python has been touted as the most friendly programming language to learn and use in machine learning, data science and AI.


Learn how to analyse time series data using Eviews. We will teach you on how to create Eviews files, import data from foreign sources like Ms. Excel, transform data (log and lag) and do descriptive analyses. Additionally, learn about time series models like simple OLS, Autoregressive Distributed Lag Models, Co-integration, VAR, Granger Causality, Vector Error Corrections Models and Impulse Responses. Finally, learn about panel data analyses in Eviews; Pooled OLS, Fixed and Random effects.


Undertake all your data science needs-data manipulation, visualization, statistics, and automated reporting using Stata. Stata will enable you to analyze, manage, and produce graphical visualizations in cross-sectional, time series and panel data.


Learn about basic data preparation and management in SPSS, descriptive statistics, and common statistical analysis (T-test, ANOVA, Chi-square tests, correlation, linear regression and logistic regression).


Learn how to organize and analyze non-numerical or unstructured data like interviews, open-ended survey responses, audio, video, emails, images, spreadsheets, online surveys, web content and social media from various sources using NVivo. With NVivo, you can identify themes, visualize and draw inference from qualitative data for informed decision making.