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 .
5/5
A comprehensive and insightful discussion! Looking forward to attending more.
5/5
He gave me amazing advice and tips about what I asked. And he also did it in an efficient way.
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
5/5
It was eye opening
5/5
Francis’s office hour session was incredibly helpful! His guidance boosted my confidence and gave me a clear path forward. Highly recommend
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.
5/5
A very helpful insight, really amazing!

About me

How do we sustain evidence-backed policymaking if a major national household survey that provides critical outcome variables is discontinued or disrupted due to funding cuts, rising nonresponse, or political instability? Driven by this question, I am examining new approaches for combining information from multiple data sources for finite population inference. My broader goal is to ensure that we have carefully-validated alternatives for producing the information we need to sustain evidence-driven development, especially in contexts where national household surveys are discontinued. At the World Bank and the Overseas Development Institute, and through my PhD studies, I have co-authored national poverty assessments, national development plans, and statistical publications, and helped build the policy analysis capacity of more than 750 government officials. DM for research collaborations if you are excited about combining data from multiple sources to draw some conclusions about a finite population.