Big data opens up the era of more data, but does this equate to more information? We end up with more complexity and more noise. "Big" does not necessarily mean more useful, valuable or interesting - it is possible to be data rich, but information poor! Big data does not mean the end of small data, indeed big data problems might be small data problems in disguise.
On the occasion of James Abdey's visit to Hanoi tomorrow, BBGV takes the opportunity to organise a training course on "Harnessing big data - challenges and opportunities".
This training workshop will explore the challenges and opportunities we face in our big data world. From velocity to vanity, you will appreciate how such challenges pose difficulties for data-driven decision-making. Also, conscious of the ever-changing needs of employers, we consider the provision of data analytic skills in higher education, in particular, the global skills deficit which exists and how the gap can be and is being, narrowed.
Upon this training course, you will be able to:
- Recognise the challenges and opportunities presented by big data. - Understand the value of data-driven decision-making. - Critique the appropriateness of different data analysis methods. - Identify opportunities for implementing data analytic techniques.
Date and time: from 1:30 pm to 3:30 pm, tomorrow 27th Mar.
Venue: Learning center, Level 5, CDC Building, 25 Le Dai Hanh, Hai Ba Trung, Hanoi.
Please contact [email protected] or 0972 02 9795 to register. No fee is applied to your registration. Thank you and we look forward to seeing you.
About James Abdey
James Abdey is an Assistant Professorial Lecturer in the LSE Department of Statistics and Associate Academic Director for the University of London's EMFSS programmes. His research interests include market research techniques and forensic statistics – the interplay of statistics and law. James has been closely involved with the University of London for a number of years writing numerous subject guides and undertaking many teaching visits to teaching centres around the world. Outside of academia, he has also worked on various quantitative-based consultancy projects in areas including the art market and the World Gold Council.
