Forthcoming Events


Twitter Feed

BCS Nottingham & Derby Branch

3rd Monday Event

How To Be A Success In Data Science - The Key Skills To Make A Difference by Hugh Cox of Rosslyn Data Technologies PLC

Date: Monday, 15th July 2019
Time: 19:00 (tea & coffee available from 18:30)
Location: Novotel, Bostock Lane, Long Eaton, Nottingham, NG10 4EP (map)
Price: Free! (non-members welcome)
Status: Went Ahead

Details

Data Science covers a wide range of subjects from including data collection, analysis and modelling. What makes a valuable data scientist stand out in today's business environment is not a straightforward answer and requires a range of skills and experience.

This presentation will be of interest to those who are already working within data science as well as those interested in maximising their potential to enter this interesting, expanding and lucrative profession. The demand for data scientists to make sense of and derive benefit from the increasing volume of data now available has never been higher.

Time will be allocated for questions at the end of the presentation and afterwards Hugh will join us for the traditional networking opportunity with refreshments.

[back to top]

About the Presenter

Hugh Cox (https://www.linkedin.com/in/hugh-cox-3b809a4/) is recognized as one of the UK's leading data experts by Information Age, Hugh co-founded Rosslyn Data Technologies PLC. Hugh helps executives at public and private sector organizations tackle business issues through technologies including cloud computing, data management and analytics.

Hugh has authored and spoken extensively on the subject of data analysis with particular focus on fraud prevention and detection, through the deployment of cloud-based analytics platforms.

Prior to establishing Rosslyn, Hugh held senior positions with COO Investments (EMEA) and Citigroup Private Bank. He also worked for Perot Systems, JP Morgan and Logica.

After leaving the British Army, Hugh took a BSc in Computer Science and an MBA from City University Business School.

[back to top]