Python Programmer: "You know...you can learn data science for free"
"online and I'm going to show you how"
So you want to learn data science huh
Hey you technology-loving kings and queens how's it going my name is
Andrew from DataLeap and this is where we are going to talk
about how you yes
YOU. start your very first three days of
data science learning
Python Programmer: "and get you up to the level where you have enough"
"expertise in order to start applying for jobs in that field"
[record skip sound effect] wait did i just say three days?
that's right! three days or three weeks or three
months whatever it takes to learn data science
you can get started with this comprehensive guide i'm gonna cover
21 days but if you want to break it down into three different sections
Python, pandas, and data visualization. Putting those together will put your
best foot forward into the data science world and that is how i
would lay out the Data Science Bible 21 days from
going from zero to hero.
You see, five years ago,
Andrew from DataLeap was not the person you see here
me from the past had to bang his head against so many books
just to see what would come out and oftentimes it turned out
that these specialized books didn't actually get me very far
not only the free ones but also the paid ones why
because of habit making sure that you have
people around you which is why i am going to invite
every single one of you to the discord that Ken Jee has created
for creating a community for the 66 days of data challenge that is going to be
your best way to build good habits during
this time of learning data science from the very
very beginning and why do you think i'm going to do
this you might ask now a lot of courses out there are
explaining exactly how to get around data science
for money and a lot of courses out there are trying to explain
how to get through data science for free this video
is a video response to python programmer's amazing
six minute video about where to get started he compiled an entire list
of resources for you i've created a curated list of learning resources and i
think that's great but a lot of the things on his list
implies that you have understanding how to learn
from a textbook by yourself in the pandemic all alone it implies
that you are able to learn spontaneously without someone poking at you with a
stick and helping you get to your goal so like he says in his
videos the very first step commit and how do you commit well we are
currently as i'm recording this on the third day
of the kenji 66 days of data
challenge and ever since the challenge started i've started to interact with
the amazing people in the challenge and there is a
particular person who sent me a very insightful message let me read it
this message came from dominic james cervantes his wife calls him dom
so he just tells everyone to call him dom
dom says that he has a friend who is trying to start data science and this
friend has no background in the sciences or
mathematics or data he might have taken one stats class in
college or maybe a couple of finance classes but
he knows that he has a massive mathematical gap in his learning
so if I, Andrew from DataLeap, were to create a roadmap to build a
top-notch superhuman data scientist from scratch
what would this individual his friend need to
learn and apply to go from zero to hero he's asking for his friend i get it dom
you're asking for your friend so let me start you off with this
don't start with math your very first three days
one week and one month of data science learning
should never start in a place that requires you to bunker down with a book
by yourself dealing with mathematical concepts that you're not familiar with
let me tell you a little secret as a data scientist i'll just move the camera
closer a little closer a little closer i don't really do math
at least on a day-to-day basis you see what i consider
hard maths the calculus the linear algebra and the understanding of how
models work that is something that i keep on
the back burner as an educational and gut checking
premise for most machine learning and analytical
projects but once again we're not starting with math we are
starting with python and this is a course
i'm not sure if you know this is a course that nobody has
come up with at all it's called the kaggle
i think this is so good you know remember this is a free course
that they have here the first online course that i'm going to recommend
are the kaggle micro courses okay kenji seems to have a couple months ago
and now python professor has just a few days ago
endorsed this kaggle micro course and that is great you see the
python section right here has only one two three four five six
seven modules and that is how i want you to start your
first week of data science here you are going to spend each day
learning along each of these pieces and i'm going to be
here live streaming every day of this week helping
you get through this section of the kaggle course if you
have no experience with python hey it took me only 10 minutes to
explain all of the python you possibly need
that is actually everything that the kaggle course goes through
so if you want to learn in 10 minutes it's right up here but if you want to
start the right step forward to data science this is the first step
you have to move through the kaggle course and take it piece by piece
and now a couple of thoughts about where to go from here you can easily start
moving into the intro to machine learning course uh
which handily moves into the intermediate machine
learning course but i would say skip that for now and move into pandas
and feature engineering that is an amazing piece of directly
applicable additional python that augments the
python knowledge that you have and it's helpful because then you can go
directly into this course right here and move into
the pandas versus sql understanding of how to interact with larger
amounts of data here's how i would plan your next week
inside the pandas course there are six modules which might seem like you have
a free day to relax but data never sleeps
inside the data visualization module there are eight
courses which means that's your extra day for your third
week so that's one two and three weeks so my kings and queens of data now you
finally understand how to structure your 21 days of data so
you want to make sure that you have a community number one
number two don't start with math and number three
take it a step at a time with the steps that i'm putting down in the description
and join the community on the discord so
that you have hundreds of people all around the world working on the exact
same pace that you are working on so if you wanted to see more content like
this make sure to hit the like button so that i know
that you are listening and please go ahead and leave a comment
so that i can make more stories like dom's come to life
with another video with you featured in it so fun without further ado
peace...?
Hello?
It's me, Andrew from DataLeap,
but five years ago and i have a bone to pick with what you
just said. You think that people can just learn data science for free in 21 days?
That makes no sense! You have to have a professor,
You have to be able to have classmates and interact with people like what do you
mean?? Oh... I can't believe this guy
I mean i think that we have a structured plan
to hit data science down and running
we want to make sure that people have the right understanding of how to succeed.
Don't you agree, me from five years ago?
well i don't like anything you're saying this is not exactly the way that i would
go about telling people that you can just go off and learn data science for
free like what do you think you are you can't
just go off saying that kind of stuff
huh well i think I'm Andrew from DataLeap
but i got some corgi pictures to see. Peace!
whoa okay okay well i guess i'll just stay
here and wait until it comes back until then
i guess i'm just gonna have to think about what he said
i still don't see how you could possibly teach data science in 21 days
one eternity later Hey Andrew from DataLeap what's wrong
oh oh hey aren't you the Data Professor
from youtube spoiler alert yes he is the Data Professor
from youtube hello i am Andrew from the near future and i'm
here to tell you thank you thank you so much for staying
until the very end of this video as a reward i want to give you a chance
to turn your resume into the little peg that fits directly into the slot
of cracking the data science interview process in silicon valley
over on data professors channel i talk very extensively
over how to make the perfect silicon valley
resume if you want your hands on a copy of
the word document that i use on that channel then go ahead and go to
dataleaptech.com input your email and you will get a
pristine copy of the word document if you want to see
how to get to the next step head on over to his channel because he
has a lot of good stuff waiting for you once again subscribe if you haven't
already please hit that like button and you guys
are awesome
zero peace are you talking about
you