Stat 4 ∀ Training Center

Dear Trainees, Stat 4 ∀ Training Center has scheduled today’s training session on “Python Application for Machine Learning Models” at 8:00 PM. Please be punctual and make sure you have completed all the required training requirements before the session begins. Date: Saturday, August 15, 2026 Time: 8:00 PM Thank you, and see you at the training session!

Congratulations Proff💐💐💐

Choosing the right statistical or machine learning technique in R depends on your data structure, sample size, and research goals. Here is a handy cheat sheet comparing 7 powerful modeling approaches!

💻 Summer Data Analytics Bootcamp! Ready to level up your data skills? 📅 Starting this weekend — Saturday & Sunday ⏰ 8:00 PM – 10:00 PM Don’t miss out learn, practice, and grow with Python & Data Analytics! #DataAnalytics #Python #SummerBootcamp #DataScience #LearnPython #20PercentOff

##Multilevel Modeling for Cross-Sectional Data## Multilevel modeling can be applied to cross-sectional data when observations are nested within hierarchical groups. For example, individuals may be nested within households, communities, districts, or regions. Although the data are collected at one point in time, multilevel modeling accounts for similarities among individuals within the same group and allows both individual- and group-level factors to be analyzed simultaneously. For further learning, watch the Stat 4 ∀ Training Center video: vt.tiktok.com #MultilevelModeling #CrossSectionalData #DataScience #Statistics #StatisticalModeling

Why data has layers? https://vt.tiktok.com/ZS4p8rGdP/

Congratulations Prof✅✅✅

Congratulations Professor

Together, we measure, discover, and shape a better future through statistics or data science

30-Day Data Analyst Training Program ## Special Offer: 20% Discount on the Training Fee## STAT 4 ∀ Training Center invites students, researchers, university staff, professionals, NGOs, and research institutions to join our intensive 30-Day Data Analyst Training Program with Python.

The Department of Statistics, Haramaya University, in collaboration with the Postgraduate Program Directorate and the College of Agriculture and Environmental Sciences, successfully organized a workshop on Professional Competency in Digital Data Collection and Survey Design using KoBoToolbox and Google Forms and Professional Competency in Statistical Data Analysis and Visualization with R from June 16–23, 2026. The Department of Statistics assigned Mr. Gemechu Asfaw and me as trainers for this important capacity-building initiative. We were honored to deliver both theoretical and hands-on training sessions covering modern approaches to digital data collection, survey design, data management, statistical analysis, and data visualization. The workshop equipped participants with practical skills and real-world applications essential for conducting high-quality research and promoting evidence-based decision-making. Participants demonstrated remarkable enthusiasm, commitment, and engagement throughout the training. Their active participation, positive feedback, and appreciation of the trainers' dedication, professionalism, and expertise were highly encouraging and reflected the overall success of the program. We extend our sincere gratitude to the Postgraduate Program Directorate, the College of Agriculture and Environmental Sciences, and the Department of Statistics for their invaluable support and coordination in making this workshop a success. We also express our heartfelt appreciation to all trainees for their active involvement, commitment to learning, and contributions to the interactive training environment. We warmly invite researchers, postgraduate students, academic staff, development practitioners, NGOs, government organizations, and research institutions to collaborate with the Department of Statistics, Haramaya University, in future professional training and capacity-building initiatives. The Department remains committed to advancing excellence in statistics, data science, research methodology, digital data collection, and statistical analysis to support impactful research, innovation, and informed decision-making.

🌟 A Milestone in Research Excellence We are pleased to announce the launch of the intensive training workshop, “Statistical Excellence in Agriculture: Mastering the KoboToolbox Ecosystem for Professional Data Collection and Advanced R Analytics,” taking place from June 16–21, 2026.   Jointly organized by the College of Agriculture and Environmental Sciences (CAES) and the Haramaya University Postgraduate Program Directorate, the workshop equips M.Sc. and Ph.D. candidates, along with faculty researchers, with practical skills in digital data collection, cloud-based research workflows, and advanced statistical analysis using R.   Building on the success of this initiative, the Department of Statistics invites all colleges, institutes, and research centers at Haramaya University to collaborate in strengthening research quality through sound data management, statistical modeling, and evidence-based decision-making.   We sincerely thank Dr. Sileshi Gadissa for his leadership in organizing the training, Dr. Ashenafi Yimam for officially opening the workshop and emphasizing its importance, and Mr. Gemechu Asfaw, Head of the Department of Statistics, for recognizing the strong support of CAES and encouraging similar initiatives across the University.   Together, we can advance research excellence, strengthen institutional capacity, and foster a culture of data-driven innovation at Haramaya University.   Department of Statistics, College of Computing and Informatics  Haramaya University, Ethiopia