Overview

There is a growing need for professionals and researchers to strengthen their skills in advanced statistical techniques. This training program places special emphasis on ANOVA, ANCOVA, and Linear & Non-Linear Regression Analyses, which are essential tools for analyzing complex data and making informed decisions. The course is designed for participants from any field who are engaged in research, data analysis, or evaluation studies, and who wish to deepen their understanding of intermediate-level statistical analyses. Practical applications using SPSS and real-world examples will be highlighted to ensure participants gain both theoretical knowledge and hands-on experience using standard statistical methods.

Objective

This course aims to provide researchers, academics, and university/college teachers with an application-oriented introduction to intermediate-level statistical methods, focusing on ANOVA, ANCOVA, and Linear & Non-Linear Regression Analyses. Participants will learn how to apply these techniques to real datasets, test and understand the assumptions behind each method, and interpret results with accuracy. The training emphasizes both the theoretical foundation and the practical application of these analyses using SPSS, enabling participants to confidently integrate them into research, academic publications, and higher education teaching. By the end of the course, participants will be able to choose the appropriate statistical method for their research, conduct the analysis effectively, and present their findings through clear interpretation and graphical representation.

Training Skills Acquired (Training Course Outcome)

By the end of this course, participants will:

1. Understand the principles of intermediate-level statistical models and their applications in academia and research.
2. Gain knowledge of ANOVA for comparing multiple groups.
3. Apply ANCOVA to analyze data while controlling covariates.
4. Perform Linear and Non-Linear Regression Analyses to study relationships between variables.
5. Learn the assumptions of each method and how to test them.
6. Interpret statistical outputs with clarity and accuracy.
7. Strengthen their capacity to integrate statistical methods into academic research, higher education, and professional practice.

Audience

This course is intended for the following categories:

• Researchers, academics, and university/college lecturers who want to apply advanced statistical methods in their work.
• Graduate students who are preparing theses, dissertations, or conducting research, evaluations, or surveys that require intermediate-level statistical analyses.
• Professionals in fields of humanity and science who deal with data-driven decision making.
• Analysts working with survey, evaluation, or research data who want to apply ANOVA, ANCOVA, and Regression Analyses.
• Staff in governmental bodies, NGOs/INGOs, and private organizations who conduct research, surveys, or evaluations.

Number of Participants

• Offline: Limited to 10 -15 seats.
• Online: Unlimited.

Place and Date of Training

• Start Date: 02/11/2025

• Duration: 6 days

• Daily Schedule: 2 hours per day

• Location:  Erbil

How to Register

Places are limited, so we recommend early registration to ensure participation. To register for the course, please fill out the information through the following link:

For more information, please contact us:

WhatsApp: + 964 750 422 3839.

a.chomani@soss-iraq.org

Requirements

• The course is designed for participants at the intermediate level, but a basic understanding of statistics is required.

• Each participant should bring a laptop to follow along and complete the practical exercises.

• SPSS (version 27 or later) must be installed on participants’ laptops before the start of the course.

Information about the Trainer

Dr. Delshad Botani is a Professor in the Department of Statistics and Informatics at Salahaddin University–Erbil, with more than 28 years of academic and applied experience in teaching statistical sciences and conducting advanced data analysis. He has worked extensively with national and international organizations, including GIZ, Help, FAO, FHI360, and companies such as GfK, DNO, TAQA, HKN, etc.

Alongside his academic role, Dr. Botani serves as President of the Sard Organization for Society Support (SOSS), a specialized institution in society support through conducting research, data analysis, and development consulting. He is also an active member of professional bodies such as ESOMAR (European Society for Opinion and Marketing Research), Kurdistan Economist Syndicate, Iraqi Statistician Syndicate, Iraqi Statistical Association, and Union of Arab Statisticians.

He is also the author of AMARZANI, a widely used Kurdish-language textbook in statistics that has become a valuable resource for students and researchers.

Over his career, Dr. Botani has led and contributed to more than 150 feasibility studies for governmental agencies, NGOs, and private businesses across diverse sectors, including health, trade, transportation, industry, and agriculture. His work has directly supported strategic planning, policy formulation, and private sector investment throughout the Kurdistan Region and Iraq.

Note:

• A certificate of participation will be issued upon request.
• Participants will have the opportunity to interact with the trainer and ask questions throughout the course.
• Technical assistance will be available for software installation and troubleshooting.
• Course materials (handouts, slides, and datasets) will be provided.
• The course will be delivered in the participants’ mother tongue.
  

We hope to see you at the course!