- This event has passed.
Workshop // How to set up Data Science teams and the metrics that matter
October 16, 2019 @ 5:30 pm - 7:30 pm
With more and more data being captured across the globe than ever before, the demand for expertise to extract valuable and actionable insights from that data is going to only grow by leaps and bounds. This will be in the form of data analysts, scientists, and Engineers.
The future data scientist will tackle the most business-critical and complex challenges that will help their businesses make revolutionary leaps forward. Not only a huge demand exists for these professionals but there’s a significant amount of shortage too in getting qualified data scientists.
This Data Science workshop will be on Becoming and Hiring World-Class Data Science Talent in Africa. The two-hour session will be targeting both aspiring Data Scientists and Organisations looking at accessing the right data science talent or setting up a team.
Join us for a data science workshop in Nairobi hosted by Dennis Mutwiri of Zuka. The two-hour workshop that will try to breakdown the world of data science you as a business person. During the session, Dennis will also cover other areas of Data Science like:
- Past, present, and future of Data Science.
- Challenges organizations are facing and how to tackle them.
- Talent gaps the Market has and how individuals can be industry-ready.
www.zuka.world is shaping the future of what data-driven organizations look like through skills development in data science and engineering. The Garage member identifies high potential individuals and organizations then transform them into Industry leaders through our learning and consulting services.
This workshop will take place on 16th October from 5.30 pm- 7.30 pm on 9th Floor // Pinetree Plaza.
RSVP your attendance here!
See you then.
About the speaker:
Dennis Mutwiri is the co-founder of Zuka. He is a former Oracle Senior Solutions Consultant and Co-founder of Tollbridge.co.ke has worked on Business Analytics and Big Data Solutions with 100s of Business across the Globe hence understands the disconnect in Data Science Talent.
