Published July 19, 2023, 4:20 p.m. by Liam Bradley
How to get started in football data analytics (python, R) - Create Data Visualisations!
This video is on the back of my Industry chat video with Liam Henshaw (https://www.youtube.com/watch?v=QG_i0XHCZPw) where we spoke for 1 whole hour about getting started in data analytics!
This video is a condensed version with more of my opinions but the topics are very similar. I speak about the tools you need to get started, the mentality, and even point towards some useful resources.
Get started with football data analytics - https://youtu.be/g_p6R-CApm8
football Analyst, dream job? - https://youtu.be/lfz7MCgRHd4
Average week of a football analyst - https://youtu.be/yotecaiubbs
How much football analysts get paid - https://youtu.be/-XVxKt8tF00
☕ Buy me a coffee - https://www.buymeacoffee.com/chrisgillUK
📧 FREE Newsletter - https://www.chris-gill.com/#/portal/
football Hackers: The science and art of a data revolution - https://amzn.to/3HKCK55
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You may also like to read about:
if you're looking to break into the
world of sports analysis you're probably
going to need to get to grips with some
data analysis and kind of understand
things like tableau python and r now we
did have this video already planned out
but i did delay it as i did do an
industry chat video with liam henshaw in
that video we spoke about how we got
started posting content online and the
different tools and languages that are
available to use
that video is linked down in the
description below but it is an hour long
so for anyone that can't be bothered or
too lazy to watch the full thing i
thought i'd do another video just to
kind of condense it down but also give a
bit more of my input too so before we
get started i do want to clarify that
from this sort of video i'm not saying
that everyone needs to be an absolute
expert data analyst you know it's not
practical to just kind of go from
nothing all the way to being a master
but what i will say is that if you are
looking to stand out when applying for
jobs even just having a basic
understanding of some of these things is
going to set you kind of aside from from
the other people that are going for the
same job so you know you haven't got to
go all in on this if you just want to
kind of dip your toe and see what it's
all about learn a few of the skills it
might actually mean that when you do
that you do want to continue learning
more but i think just having a basic
understanding is a massive massive help
okay if i always wanted to get started
in data analytics then i'd be looking to
begin immersing myself into the
community so by that i mean you could
read some books you can do some online
research and you can start following and
connecting with people on the likes of
twitter and linkedin the twitter
community was mentioned a lot in my chat
with liam so i think that's testament to
how useful that can be so i do really
advise that is a great place to get
started there's loads of people out
there that are you know keen analysts
and they they just love what they do and
they're sharing great things on twitter
a lot of them have their own blogs and
things like that so i think that's a
great place to start just to kind of see
first off what kind of things are
already being done and you can maybe
start to see trends on how things are
changing over time and that's going to
give you inspiration as well so if
you'll see something you know if you see
something that you like i'm not saying
go ahead and just copy it but you can
take inspiration from that to maybe
create something similar for yourself so
um i think there's lots of cool people
out there and again liam did mention
that there was a list along with his
army did say so get yourself on twitter
start immersing start connecting and
following and get integrated with with
the kind of things that are on there and
like i say there's loads of books
that you can read there's other podcasts
as well and just basically just do some
research online if reading is your thing
then three popular books that come up in
the discussion of data analytics include
sockonomics and football hackers the
science and art of data revolution and
the expected goals theory all of those
books i will link below and so if you do
want to check them out feel free to do
after the video you've probably all
noticed that expected goals for example
is even shown now in the likes of match
of the day as it becomes more and more
mainstream okay before i move on i do
just want to quickly say that i am by no
means an expert in the world of data
analytics so the contents of this video
basically come from my general research
my opinions but also chats from people a
lot more intelligent than me in this
field however i think if you apply the
knowledge and combine it with an actual
desire to learn then you really really
should be able to get started at least
with the basics one thing that was
mentioned was to start using tableau
public so i think the reason for this is
because apparently it is kind of
easy-ish to use it's quite intuitive so
it's easy to pick up for the complete
novice and there are lots of kind of
tutorials and resources out there online
to help you get started from using this
you should start to be able to create
some simple scatter graphs and bar
charts just to kind of wet your appetite
i think by starting and even just doing
something very very basic is going to be
a you know it's going to be a big
psychological win i think a lot of it is
just getting started and i think the the
whole term of data analytics and
visualizations it sounds very
complicated and it is difficult of
course but i think a lot of the times
people just put off by being overwhelmed
maybe and just being a bit scared to
actually start so if you are able to you
know
get the first steps done and just start
creating some simple things
i think that's going to give yourself
more confidence to then push on it and
create much much more like anything
practice makes perfect so the more time
you put in and practice with these
different skills the more you're going
to be able to achieve the next thing i
will say is to find a niche and also
understand why you want these skills and
which direction you want to go on in
your career basically so the whole thing
of finding a niche was mentioned by liam
in the industry chat that we did but it
was also brought up in a recent q a
video that i did also so i think it is
important not to kind of just do the
same thing as everybody else i think if
you are able to kind of
be creative and do something that is
different um
obviously it's got to be a niche that's
kind of other people are going to
actually find an interesting because
there's no point in doing something no
one's ever going to look at it but
there's plenty of things out there so i
think liam mentioned something along the
lines of um all
scottish players playing in italy for
example are all left backs under a
certain age so you can kind of niche
down into what interests you and start
basically producing content on that in
terms of where you want these skills to
kind of take and mold your career that's
entirely up to you so like i kind of
mentioned you can just learn the basics
just so you know you've got a basic
understanding and that's enough to get
you by but there's also always some
actual data positions that clubs will
kind of hire for as well so but i think
it is important to know that the data
jobs that are available these days
aren't just in clubs so you have organ
you have actually stats companies that
hire kind of data scientists you have um
clubs obviously you also have things
like content creators and and kind of um
magazines and things that we'll want
pieces doing on certain players so these
kind of jobs can be done on a freelance
basis a contractor basis so there's lots
of different avenues so having these
skills can open many doors
in terms of getting started with data i
have been recommended fb ref so this is
a website which again i will link below
and it has data it's all free as well by
the way data on the top five european
leagues so that can be a great place to
get started so again you've got that for
free you've got the tableau public for
free and you can just start playing
around and kind of see what you what you
can do
so there's not really any barrier of
entry really so free download get
started and see what you can achieve
okay so before we move on i do quickly
need to ask you to subscribe to the
channel if you haven't already and give
the video a like if you are finding it
useful and again when you get to the end
of this video some more of my videos
will be linked below and which again i
think you will find useful so let's get
straight back to the video
okay so the next thing i will say is
learn how to code so obviously that is a
lot easier said than done now the two
most popular languages that tend to be
used within football data analytics and
all the visuals that you see are python
and r so these are two different coding
languages so it will take some skill to
actually learn about them in the first
place and but you know like i say most
of the stuff you will see on twitter is
produced by using either of these
languages during the chat that i had
with liam he did mention both of these
he says that he you know uses python a
little bit more but he actually
recommends if you are getting started
there might be more online resources
available for r actually and so maybe
check that one out as an alternative
depending on what kind of learner you
are you might actually want to take a
course so there are online courses
available that kind of specialize in
python and also um you know you can kind
of go away spend some time and try and
self you know learn yourself and but you
know if you are kind of one of them
people that kind of learns better with a
structured kind of um curriculum or or
course and there are courses available
so you know that's at your disposal
you've also got there's loads of youtube
channels which i've been browsing
earlier actually in terms of how to use
these different languages to create
specific visualization so whether that
be a shot map
scatter graphs and stuff like that so
you can do that and there's the tutorial
videos then again they're on youtube so
they are free and you can always
obviously leave a comment under those
guys videos as well to kind of ask
questions and if you're unsure about
anything that they've put in the video
one thing i will say on this is it will
be a lot of trial and error so don't be
afraid to fail so do some work
obviously there will be some mistakes
because that's natural and but then i
think as you kind of get used to it
you'll start to rectify those mistakes
as you kind of get a better
understanding of the different languages
that you are using one thing that did
stick with me from my conversation with
liam was he actually said that you know
when he was kind of browsing twitter
before he started his own account was
the fact that he was looking up to these
people that were posting these cool
visuals and just basically thought well
if they can do it why can't i and i
think that's a great kind of mentality
to go with so i think from that i think
for me the most important thing is if
you are looking to do data analytics is
simply just to get started
we spoke about the twitter community
loads before and i think in terms of
that playing a part in your development
i think that's really really important
so share your work online again when you
first start your work you might you know
you might think your work is not very
good but that's fine you know get it out
there get some feedback maybe ask some
questions to somebody that's doing
something similar and learn as much as
you can from these different people
ultimately you've got to learn from your
mistakes so actually you're not going to
be perfect when you start out and but i
think even the people that you look at
now you know if you go on the on the
twitter community and see some of the
cool visualizations by the people with
loads and loads of followers they
started off at a basic basic level so
you've got to be realistic the fact that
yeah you might take some time to get
there but you've got to start otherwise
you'll never get there okay so that's
all for this video so thanks very much
for watching please do check out my
other videos linked in the description
below and go ahead and get started on
your data analytics journey let me know
if you have any questions down below in
the comments but also leave a comment if
you have any cool resources that you
want to share with anybody else that is
watching this video good luck and have a
great day
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