Our Offerings
Research & Analytics Support
- Data Analysis Tools: SPSS, Python, R Programming
- Hypothesis Testing: A process to test assumptions (hypotheses) about a population parameter. For example, determining if a new teaching method improves student scores compared to a traditional one
- ANOVA (Analysis of Variance):Helps compare the means of three or more groups to understand if differences exist between them (used in experimental studies).
- Forecasting: Involves predicting future trends based on historical data, commonly used in economics, sales, healthcare, and project planning.
- Regression Analysis:A statistical tool to explore the relationship between dependent and independent variables—used in predictive modelling, risk assessment, and trend analysis.
- Data Visualization: Turning complex datasets into actionable insights
Fields of Expertise:
Computer Science, Nursing, Management, Social Work, HRM, Sociology, Political Science, Education, and many more.
Corporate Training Programs
- Advanced Excel: Automating workflows, dashboards, pivot tables, and macros
- Machine Learning: Introduction to algorithms, model building, and deployment
- Data Science: Python-based analytics, visualization, and predictive modelling
- Advanced Statistics: Techniques for decision-making and business insights
- Advanced SQL: Data extraction, manipulation, and performance optimization
- Power BI: Interactive dashboards, DAX functions, and data storytelling
Corporate Training Highlights:
- Hands-on Learning with Real-World Examples
- Industry-Standard Tools and Techniques
- Flexible Training Formats: Online, Onsite, or Hybrid