Your Quick Start Session to Becoming a Citizen Data Scientist

Thursday, June 27th at 2:00 p.m. BST
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Webinar Description

Gartner defines the citizen data scientist (CDS) as “a person who creates or generates models that use advanced diagnostic analytics or predictive and prescriptive capabilities, but whose primary job function is outside the field of statistics and analytics.”

Who is this webinar for?

This webinar is for business problem owners in any department who are looking to extract more value from their data in order to help their business to succeed.

What will you get out of this webinar? 

  • An evaluation of where you are on the journey to becoming a citizen data scientist 
  • An understanding of where your business scores when it comes to leveraging data
  • A list of tools and resources you will need to help you become a citizen data scientist
  • Basic training around extracting and formatting your data to get the most value from it
  • A quick demonstration on how to use machine learning to extract insights and make predictions from your data
  • A next steps guide

Can you become a Citizen Data Scientist in 40 minutes?


About your host

Dr. Davide

Dr. Davide Zilli directs the Client Services department in Mind Foundry and is dedicated to democratizing machine learning, educating business problem owners to enable them to leverage machine learning in their day-to-day work.

After obtaining a BEng Hons in Software Engineering from the University of Southampton, he joined the Institute for Complex Systems Simulation where he obtained a PhD for his research on bioacoustics and machine learning for citizen science. While at the Institute, he was visiting scholar at the Massachusetts Institute of Technology, working on pollution sensing, and research intern at Microsoft Research, Cambridge, UK, looking at acoustic detection of animal species.

Upon completion of his doctorate, he joined the Machine Learning Research Group at Oxford University, working with Prof Stephen Roberts on the acoustic detection of malarial mosquitoes. Concurrently, he held a position as a Junior Research Fellow at Somerville College, Oxford.

When Mind Foundry was spun out of the University, he joined in the position of research scientist, focussing primarily on time series analysis. He now works with clients to ensure that they get the most value out of machine learning with Mind Foundry products.