Python Data Analysis Training Report (Batch 2)
Date: Tuesday, 27th April – Thursday, 29th May 2025 Time: 9:00 AM – 1:00 PM daily Venue: Prof. B. John Beckman Hall / Tajuddin Hall Organized By: Center for Information Technology and Development (CITAD) Facilitators: Yusuf Babagana (Lead Facilitator), Salisu Indabawa (Co-facilitator) Introduction The second batch of the Python Data Analysis Training, organized by the
Report on two days (2) Training on PLS SEM and SPSS Statistical Data Analysis training
Date: 28th to 29th August 2024 Venue: Day 1: Ada Lovenda Hall; Day 2: Prof. Bjorn Beckman Hall, CITAD Kano Office, Kano State Time: 9:00 am – 3:00pm Introduction The Centre for Information Technology and Development (CITAD), conducted a 2-days training workshop focused on Partial Least Squares Structural Equation Modeling (PLS-SEM) and SPSS Statistical Data
Report on 2-Day Training on R Statistical Data Analysis
Introduction The Centre for Information Technology and Development (CITAD) in partnership with 2M Data Consults set up a 2-day training on R Statistical Data Analysis, held from 13th to 14th August 2024, the training was a comprehensive program aimed at equipping academicians with essential skills in statistical analysis using the R programming language. The event
Data Analysis Training 2023
In mid-2022, CITAD launched a STATA-based Data Analysis Training program with the objective of enhancing research quality for postgraduates and staff members from public tertiary institutions. The response was overwhelming, with over 1000 applicants applying within two days, indicating the program’s significance in bridging theoretical knowledge and practical data analysis, particularly in the social sciences.
Invitation for Participation in a Three-Day Workshop on Data Analysis Using Stata for Humanities and Social Sciences
Introduction There has been a major improvement in the quality of data analysis in quantitative research in the social sciences across the world. This is largely due three factors. First, the availability of computer hardware and software which has simplified data analysis. Second, major developments in the underlying statistical theories and better upstanding of thematic