One of the many benefits of being an insomniac is you get to hear programmes like this on the BBC World Service while everyone else is wasting time sleeping https://www.bbc.co.uk/programmes/w3ct4qwg
He did a TED Talk many years ago that has remained one of my favourite ever talks. Well worth a watch, I had just decided to attempt for a job in football and was consuming absolutely everything I could about football, his talk has always inspired and stuck with me. He's a great communicator.
@reids have you ever thought of studying the R computer language? It handles statistical computations and with good knowledge you could develop your own applications about football stats about just about anything in the sport. If not, the MatLab is another choice for databases. Since everything and everyone is online now, R has massives of learning resources. I know learning something like this takes a lot of time and today finding that time is difficult, but I only suggest it since you seem to really enjoy this sort of thing and your analysis on this forum is second to none when it comes to indepth statistics. R also ties in with Python, which is the "hip" language of today.
Could be true, but the main value I add is coming up with the routines that are used on match-day and it's clear from watching the corners back each week that they're definitely not using my routines or anything that vaguely resembles my routines! Just need to contracts signed now! Had good talks with 3 clubs - one PL, one Championship + one MLS, workload wise I can manage 3 European teams + one MLS (due to the crossover in dates between seasons) so hopefully all 3 come off, also happy to renew just the Casa Pia part of my existing contract which I believe is potentially an option which would land me the full roster - and that's just from clubs approaching me rather than doing any of my own outreach yet on Twitter/LinkedIn so should hopefully be alright by the time the season comes round!
The 'standard' GUI is RStudio. There are literally millions of libraries online to utilise their routines. The trouble is to be very proficient at using R you have also have to be very proficient at stats - so much so I would recommend some PT/distance stats qualification.
R Studio is an IDE (Integrated Development Environment) it's an editor, compiler/interpreter and linker all combined. A GUI is different as it's classed as a framework that can be built using the IDE as a tool. However, you are correct in the fact there are loads of libraries and pre-built classes to help out. Not sure on reid's qualifications, but he seem's a very smart guy. R is scientific using some Mathematical algorithms, there might be an opportunity for offsite training.
@SkylaRose is, of course, totally correct and highlights yet another 'senior moment' of mine. 'R' is a copy free implementation of the commercial suite (language for writing routines) for statistics (and ludicrously priced) 'S'. Written by statisticians for statisticians, as you can imagine, it's a ******* to learn. But it's extremely powerful - it does data mining, analysis and presentation basically - anything and everything.
Spot on. Some vendors sometimes do release "Community Editions" of IDEs that are totally free of charge and are almost as powerful as the "Pro" versions. GNAT, which I use for Ada, has both versions. I have to use the Pro version, as it allows the code to be launched outside of the IDE without modification. I had to pay for it myself though, but I did get a slight discount. You can also use notepad to write code and use a command line to compile it. Code: gcc -g -wall -c main.cpp Would compile a C++ source file using the GCC compiler. -g is a flag for debug information, -wall is a flag telling the compiler to treat all warnings as errors, and -c is a flag requesting the source code to be compiled into machine language.
