Principles and Tools for Effective Data and Results Visualisation
Are your research findings clear, compelling, and fit for either publication or presentation? Join this session to explore practical approaches to presenting statistical results through effective tables, charts, and visual storytelling for journals, theses, and conference presentations.
Why join the session?
- Gain hands-on insights into creating high-quality figures using tools such as Excel, Python (Matplotlib/Seaborn), and R (ggplot2).
- Learn how to choose the right visualisation approach based on different research contexts and data complexity.
- Understand how clarity, accuracy, and ethical data representation strengthen the interpretation, reproducibility, and impact of research findings.
Additional Information:
Facilitator's Bio:
Dr. Rufus Gikera is a Lecturer in Data Science and Artificial Intelligence at Kenyatta University, Nairobi, Kenya, where he also serves as Acting Head of ICT and Chair of the Department of Data Science and AI. His research spans computational medicine, neuroimaging, genomics, and AI-driven healthcare systems, with extensive experience in scholarly publishing and applied AI research. He is also the founder of AIMedix Lab of Africa, which advances AI applications in clinical intelligence and drug discovery.