My name is Alex, an MSc Data Science postgraduate student with Robert Gordon University in Aberdeen and member of the teams that achieved 2nd and 3rd place in Project:Hack 8 and Project:Hack 9 respectively.
Having graduated in law, worked in banking and asset management, and then pursued a master’s degree in data science, I love walking out of my little domain bubble. What are other companies doing, what are other industries doing and how are they doing it? You never know what you are goin
If you’d ask me 6 months ago what a data analyst did, I would've given you a shrug at best, but after the intensive week involving a crash course in Python Scripting and Power BI followed by my first Hackathon, I think I’ve turned into a data evangelist.
Apprentices can take advantage of the Government Apprenticeship Levy, enabling them to get advanced analytics training at no cost to themselves or their employers.
I previously spent two days at Project:Hack as a complete novi
I’m loving learning about data analytics in a well-structured way. I’ve tried learning more about data analytics before but there’s so much information out there and it’s difficult to separate the good from the bad. Before the apprenticeship, I struggled with Data visualisation and Python but now I have developed a great love for both. The tutors explained all the concepts in an understandable way and the lessons were very rewarding.
I have already completely changed careers to be much mor
We all know projects are extremely complex system that are influenced by extremely large number of factors. Often project failure can be due to hidden causes that can sneak up on project managers. Data holds the key to preventing this, as it allows us to peer into the past and better understand our mistakes.
In many projects, one of the main major issues holding us back is that we lack the quantity of useful data needed to perform in depth project data analytics and the data we do have is
In our most recent Meetup, we had a talk from Highways England on how they are transforming their approach to project delivery. With deployment of advanced data analytics across various stages of their projects including the A14 and Lower Thames Crossing, data analytics is becoming a standard in how they deliver projects. Another step into their data journey, includes upskilling their existing project workforce to align with this new approach, of which they have utilised the Project Data Academy
Effective project data analytics requires data; lots of data. There is a split across industry into how this challenge is tackled, divided into various camps. I’ve summarised them into 5 areas but I recognise that it is difficult to capture all the nuances within such a short blog.
1. Closed systems. This is where a few companies are heading, creating their own vaults of data to shape their own models and analysis. We are seeing these starting to proliferate, from waste to project perfor
In 2017 we met with people from the NHS and Network Rail to discuss the challenge of learning from experience and how advanced data analytics holds the key. I then developed a paper with Dr Stephen Duffield that summarised our research into 20,000 lessons lesson; we concluded that the process just doesn’t work. We take the complexity of a project and boil the experience down into a few trite paragraphs that are often statements of the obvious. Even today, a recent paper from Grant Mills et al hi