Ratings and feedback

4.6/5
24 ratings
22
Testimonials
5/5
The webinar was very insightful because as a statistician, am very much interested in data science and you gave me clarity on the direction to follow and the job prospects in this field .
Anonymous
1st Dec, 2024
5/5
A comprehensive and insightful discussion! Looking forward to attending more.
Duncan Kaitira
4th Nov, 2024
5/5
He gave me amazing advice and tips about what I asked. And he also did it in an efficient way.
Ede Rojin Delibaş
26th Oct, 2024
5/5
Hi Francis, I'm Olumide Olaoye from Lagos, Nigeria. Although I joined very late due to some technical glitches from my end, all the same, it was an insightful session. I work as a Data Analyst in the healthcare space and I learned many things from your discussion. I also plan to get a masters degree in data science in the nearest future. Hence, I am looking forward to collaborating and learn more from this community and can't wait for the next sessions of DS Office Hour. Thank you so much for your time. Regards, Olumide
Olumide Olaoye
26th Oct, 2024
5/5
It was eye opening
MAKINDE Mamoke
26th Nov, 2024
5/5
Francisā€™s office hour session was incredibly helpful! His guidance boosted my confidence and gave me a clear path forward. Highly recommend
Hollo Benard Mahongo
27th Oct, 2024
5/5
This was technically a Master Class Office Hour! The session helped to clarify many myths about the journey to and through the world of data and data science.
Anthony Takyi
26th Oct, 2024
5/5
A very helpful insight, really amazing!
Blessed Madukoma
26th Oct, 2024

About me

How can we sustain evidence-based policymaking if a major survey that measures critical variables of interest is discontinued, paused, or redesigned? Driven by this question, I am evaluating synthetic data generated by emerging AI technologies and exploring ways to make this data useful for research and policymaking. My broader goal is to ensure that we have carefully validated alternative methods for generating the information we need to sustain evidence-driven development, especially in contexts where traditional survey data collection becomes infeasible.