By India Today Web Desk: The key factors that determine whether a data analyst is good enough to do the job are often trivial, at least on the surface. Rational, logical thought process and unbiased drawing of conclusions are the two most important qualities a data analyst must possess.
Of course, decent coding skills and, perhaps more importantly, a good understanding of statistics are required but it becomes relevant only when accentuated by the aforementioned qualities.
Domain plays an important role and understanding it sufficiently is part of a data analyst/scientist’s job. Unless the domain understanding is adequate, even the right results can lead to erroneous business conclusions.
When it comes to football, it is no different. A data analyst working for a professional football team must know two things: how to analyse data, and football!
Yes, it is that simple really. Now let’s try to break this down further.
Football is a high-octane sport and the physiology of the players is of high importance. It is important to understand how the bodily parameters are correlated (or not) with performance and results.
The next challenge comes in understanding how to measure performance in football and for that, a decent understanding of the game and how it works is an absolute must.
There are finer indicators like one-to-one matchups and positional significances which also require a more than average understanding of the game. So, understanding the game and regularly following it is crucial. Otherwise, inferences will either be wrong or outdated.
Disclaimer: This website may include links to third party websites & you maybe redirected there as the user of this website. UNext is not responsible for the content of any third party websites; thus the views and opinions expressed in the publications/ third party websites are those of the authors and do not necessarily reflect the views or positions of any entities UNext represent.