The Petroleum and Mining Engineering Department at Tishk International University announces a specialized 9-day training course entitled “Turning Data into Knowledge via Empirical Models.” This comprehensive program is designed to enhance participants’ skills in data analysis, interpretation, and knowledge extraction—increasingly essential competencies in both academic research and professional practice across multiple disciplines.

The course will concentrate on transforming raw data into meaningful insights using empirical and regression-based modeling approaches. The program will be delivered by Professor Dr. Tariq H. Karim, who will guide participants through both theoretical foundations and practical applications utilizing widely used analytical tools and software platforms.

Course Schedule and Logistics

  • Duration: 9 days

  • Dates: January 26 to February 5, 2026

  • Time: Daily from 2:00 PM to 4:00 PM

  • Venue: Main Building, Hall 214, Tishk International University

Comprehensive Curriculum Coverage

The course will address a wide range of essential data analysis topics, including introduction to models and empirical modeling concepts, linear and nonlinear regression models, overfitting and underfitting identification and prevention, regression analysis assumptions and systematic outlier treatment, curve fitting techniques and linearization methods, model performance indicators and validation methodologies, advanced regression techniques addressing multicollinearity challenges, and practical applications across engineering, environmental, medical, and social sciences.

Software and Tool Introduction

Participants will receive hands-on introduction to commonly used analytical software and platforms, including Excel for fundamental data manipulation and analysis, SPSS for statistical processing and reporting, Minitab for quality improvement and statistical analysis, Python for programming-based data analysis and modeling, and R for statistical computing and graphics.

Target Participant Audience

This interdisciplinary course is open to TIU academic staff from all departments and faculties, administrative staff seeking data analysis competencies, undergraduate and postgraduate students across all academic programs, and interdisciplinary learners interested in practical skill development.

Participation requires prior registration to ensure appropriate resource allocation and personalized attention. Interested individuals are encouraged to register promptly.

Click here to register now

Keywords: Data Analysis Training, Empirical Modeling, Regression Analysis, Petroleum and Mining Engineering, TIU, Excel, SPSS, Python, R, Minitab, Professional Development, Tariq Karim, Statistical Analysis, Research Skills, Data Interpretation, Overfitting, Multicollinearity, Curve Fitting, Model Validation, Interdisciplinary Learning