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News

The Data Lab MSc Innovation Week

News, Professional Development, Students 19/06/2018

Two weeks ago, The Data Lab MSc Innovation Week took place. This is our flagship week-long event where we bring together all of our 130 MSc data science students from eleven universities to form teams and work on solving real-life problems using data. This year it took place at the Whiskey Bond in Glasgow. It […]

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Learning Journey: Strata Data Conference, New York 2018

News 08/06/2018

Photo by: O’Reilly Conferences The Data Lab, in collaboration with Scottish Development International (SDI), are delighted to support a limited number of places to attend the Stata Data Conference in New York, taking place 12 & 13 September 2018. (There is also a one-day Findata conference on Tuesday, 10 September 2018. If you would like […]

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SynthLab: innovating with NHS Scotland data

News 05/06/2018

The results of Wallscope’s collaborative R&D project with Edinburgh University Business School (EUBS) and the Information Services Division (ISD) of NHS Scotland have been published in a report by Professor Jake Ansell, Dr Raffaella Calabrese and team. This proof of concept project, funded by The Data Lab, aimed to demonstrate the feasibility of using open […]

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The first post-graduate conversion programme in Artificial Intelligence with Heriot-Watt University

News, Professional Development 31/05/2018

Heriot-Watt University introduces the first post-graduate conversion programme in Artificial Intelligence (AI). This programme targets highly qualified graduates from non-computer science backgrounds who wish to make the transition into AI. The inter-disciplinary nature of AI means that it is a field that is naturally of interest to graduates from non-CS backgrounds such as mathematics, linguistics, […]

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Why I’m feeling positive about starting a new career in data science

Guest Blogs, News, Professional Development 29/05/2018

Guest blog from Data Lab MSc student, John Bell It’s hard to believe that I’m coming towards the end of my year as a Data Lab MSc student. Boy, did that year go quickly. The exams are over, assignments have been submitted and there’s time to breathe and take the opportunity to reflect on how […]

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Mhairi Aitken, Research Fellow on Public Engagement for the Farr Institute of Health Informatics Research

Podcasts 22/05/2018

The recent Cambridge Analytica scandal highlighted the need for all organisations to better engage with the public and understand their concerns when processing personal data. Listen to Mhairi Quiroz-Aitken to find out how she addresses these issues in the field of health research.

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New videos promote Glasgow as a top fintech hub

News 17/05/2018

Our CEO, Gillian Docherty, features in a series of videos promoting the infrastructure Glasgow has in place to support the growth of financial technology operations. Gillian takes the lead role in one video dedicated to profiling the work of The Data Lab. In the video, she says, “The Data Lab delivers activity through collaborative innovation […]

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Stay up to date with our latest news and insights

Dave Evans, Data Science Team Lead at FreeAgent

Podcasts 03/05/2018

Recruiting data scientists has never been more competitive. Listen to Dave Evans – contributing-discoverer of the Higgs boson – to find out what he looks for during the recruitment process at FreeAgent. They’re hiring!

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Reducing admin through digitisation

Technical Skills 24/04/2018

Guest blog from Sage According to a recent report from Sage, small and medium enterprises (SMEs) in the UK spend 71 days and £35,600 per year on tasks related to admin. Around 40% of SMEs are currently struggling to make administrative cost savings and roughly the same percentage would prefer to adopt technological solutions rather […]

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Marios Michailidis, Competitive Data Scientist at H2O.ai

Podcasts 19/04/2018

In this edition we are joined by former #1 Kaggler Marios Michailidis. Tune in to find out how Marios ranked top of nearly 500,000 Kaggle competitors, and why he believes data platforms like H2O.ai are changing the way people do data science.

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