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 Center for Information
Technology and Development (CITAD). The training took place over three consecutive days, from the
27th to the 29th of May, 2025, between 9:00 AM and 1:00 PM daily. The sessions were held at the
Tajuddin Hall and Prof. B. John Beckman Hall, and facilitated by Yusuf Babagana, with support from co-
facilitator Salisu Indabawa. This batch had a total number of 22 participants.
This intensive training was designed to equip participants primarily academics and researchers with
hands-on experience in analyzing data using the Python programming language. The goal was to bridge
the data literacy gap within the academic and research community and to enable participants to apply
these practical skills in their individual work and teaching.
Opening Session
The training commenced with an opening remark by Dr. Aminu, who highlighted the critical role of data
analysis in modern academic research. He encouraged all participants to engage actively, stressing that
the knowledge gained from the sessions could significantly enhance their research output.
Day One: Participants were introduced to Python programming, including how to install the Python
software. The sessions also covered data cleaning, data manipulation, exploratory data analysis, and
data visualization.
Day Two: The day began with a recap of the previous session, followed by training on statistical analysis,
data filtering, and the use of the Pandas and NumPy libraries. It was an interactive and engaging session.
Day Three: The final day began with a comprehensive review of all previous sessions. This was followed
by training on data aggregation and deriving insights from data. The training concluded with a question-
and-answer session, And certificate awarded at the end.
Training Content
The training covered a range of key topics including:
Data Manipulation
Data Cleaning
Exploratory Data Analysis
Data Visualization
Statistical Analysis
Introduction to Pandas and NumPy Libraries
Data Filtering and Aggregation
Extracting Insights from Data
Each of these areas was delivered in a practical, step-by-step format, allowing participants to follow
along and practice using real-world datasets.
Feedback and Observations from two participants
Participant Reflections
Uman Mahmud A Lecturer from Northwest University Kano, Department of Software Engineering
“Despite my background in software engineering and previous work in data preprocessing using
machine learning, this training opened my eyes to new methods of utilizing Python for data analysis. I
learned new ways to clean and analyze data efficiently. I truly appreciate CITAD for organizing this
session and extending such valuable opportunities to scholars from the northern part of the country. In
the south, such trainings often come at a high cost. We are grateful.
I would like to sincerely thank CITAD for the opportunity to be part of this impactful training. I am
hopeful that the knowledge shared will lead to greater collaborations and further initiatives to build
digital and analytical capacity across the country.”
Aliyu Umar Participant
“This training was not just informative but also very well-organized. We are thankful for the knowledge,
the internet access provided, and even the refreshments. Special thanks to our facilitator Yusuf
Babagana, co-facilitator Salisu Indabawa, and support team including Fatima and others. I look forward
to continuing the conversations and collaborations with the fellow participants through the WhatsApp
group we’ve formed”;
Closing Remarks by CITAD Representative
Hamza Ibrahim Program officer At center for information technology and development CITAD
representative Director of CITAD At the closing of the training, He delivered a message of appreciation.
He expressed gratitude to all the participants for their commitment and to the facilitators for their
expertise. He noted that CITAD remains committed to expanding data analysis skills not just within the
academic community, but among all knowledge-driven professionals. He further encouraged
participants to extend the knowledge gained to their colleagues and wider communities, emphasizing
that knowledge shared is knowledge multiplied.
Conclusion
Overall, the second batch of the Python Data Analysis Training was a success. The learning objectives
were met, and participants left with enhanced data analysis skills and a better understanding of
Python’s analytical capabilities. I believe that initiatives like this not only build individual capacity but
also strengthen research outputs and academic productivity across institutions. After the closing
remarks certificate are awarded to the all participants
