Data Science Open Day
Data scientists are a fresh breed of analytical data experts who have the curiosity to explore what problems need to be solved and the technical skills required to solve those problems. They utilize their skills in both social science and technology to find trends and manage data.
Join us in this online event to learn how these analytical experts use industry knowledge, contextual understanding and skepticism of existing assumptions, to uncover solutions to different challenges.
Our Speaker for the day will be one of the most passionate Data Scientists in Kenya. Kennedy Wangari is an award-winning Data Scientist, Technical AI Community Lead: Deeplearning.AI Nairobi Community and the Founder of ’Data Interviews Decoded’, an excellent quest for the data science and machine learning enthusiasts to learn, practice, solve simulated mock technical interviews, ace their interviews and become effective hires who land their dream data jobs.
Promoting access to world-class AI education in Sub-Saharan Africa and Kenya has been his top priority agenda. His tremendous advocacy efforts for better AI Education across the African continent, championing for inclusion, and better representation of black people in AI, and AI processes have earned him the honorary title: The Data Captain from Africa.
He is actively building, and growing highly impactful tech/ AI developer communities in Sub-Saharan Africa, and harnessing the power of data, and innovative Artificial Intelligence Technology to make easier, and better African lives tomorrow.
Future of Commerce and Innovation
New technologies are changing the pillars of the business world. What is the Future of Commerce and Innovation? Join us at our lab this Saturday as we host Edwin Kaduki who will share insights on this topic. How do we play our part in writing the story for the future of commerce in Kenya and beyond? Register from this link to reserve your seat.
How to survive corporate politics as a data scientist
As data scientists, we want to spend our time analyzing problems and rather than dealing with corporate politics. How can we do that when there is often a rift between executives and their data science teams. This can lead to a lack of trust, poor implementation and support of projects and thus, failed data science teams. Register from this link to reserve your seat
The Implication of data protection bill to data science practice
This coming Saturday we are honored to be hosting Fiona Makaka, a Data Protection Expert. She will share knowledge on The Implication of Data Protection Bill to Data Science Practice. Come and Learn more about the Data Protection Law and how it relates to you as a Data Scientist. Register from this link to reserve your seat