hi friends welcome back to another youtube video in today's video we're going to talk about a
very important question and I get this question a lot where a lot of you are asking if you need to
learn math for data science and if yes then what level of math do you need so i'm going to break
down exactly that in this video how much math do you need to know what are the different types of
math that you need to know depending on which role this would likely be a short video but i
really hope that you find value in this and if you do find value on this hit like on this video and
subscribe to my channel if you want to hear more about data science tech lifestyle and everything
else in between so let's break it down before we go into the data science part let's just talk
about specifically about what are the type of math that is out there when we're talking about math
there are four types of math field so there is geometry there's algebra there's statistics and
probability and the fourth one is calculus now that we got that out of the way let's jump into
data science so when we're talking about the data science as i have previously mentioned in my other
videos data science is a huge umbrella there are many roles under the data science umbrella
so depending on which role you are part of what are your day-to-day job activities
you may or may not need a deep understanding what are the job families under data science umbrella
there is data scientist generalist there is machine learning engineer there is
applied scientist there is a research scientist there is data engineer there is a data analyst
and i'm pretty sure there's a few other job families under the data science umbrella
i'm forgetting feel free to drop them in comments so now i'm going to show you this venn diagram so
on this venn diagram depending on where you are you may or may not need a deep understanding
of math in the middle there is data scientist generalist at the bottom you will have somebody
who is like more close to the business which is more on the data analyst side then on one side
is like more computer science heavy and the other side is more statistics and ml heavy statistics
and probability is important for all of the roles on this venn diagram maybe less important to
some of the rules but it is equally important to most of the data job families in in here now let's
go to the other type of maths that is calculus and linear algebra who needs to know this type of math
in simple form on the venn diagram that i showed you the closer you are to machine learning the
more familiar you would need to be with math data scientists generalists typically what
they're doing they are taking the pre-built models and then they are applying it to the business
problems to solve it when you go more toward ml and go more toward appliance science what you are
doing is you are writing custom models more often than not you're not using those pre-built models
which means that you're going to have to write your own formulas your own models which means
that you need to understand the math behind it to be able to successfully execute on those models
which means if you're planning to work on in roles which are writing custom sophisticated ml models
those are the roles where you would need to have a very good understanding of math
and they would need to know statistics linear algebra calculus because you would be writing
your own equations and your own math behind each model that you built so to summarize statistics
and probability is needed for all data science roles maybe less for a data engineer and data
analyst but pretty much like all the roles have to touch on statistics and probability
having a limited even a limited understanding of linear algebra is going to help you even in a data
scientist generalist role which involves picking up pre-existing models and applying it because
sometimes you would have to explain the model or fine-tune the model but now as you go into
more ml heavy roles which require you to write your own models that's exactly when you would
need a deep understanding of math only for those of you who are just starting out in the industry
and trying to figure out how much math you need i hope this is helpful to you and gives you
some sort of direction and a path to create your learning plan so with that thank you so much for
watching let me know in comments if you agree with us and if you have any other thoughts on math when
it comes to data science so i hope you're having a beautiful day and i'll talk to you later bye
you