you know you can learn data science for free online and i'm going to show you how
so you want to learn data signs huh
now that that's out of the way
hold on hold on hold on you were looking for me as in andrew moe as in the guy was able to get a 40
raise during the pandemic flip three different offers and change his data science trajectory
you're looking for how i was able to do the data science thing and how i can help you do it too
i think you've come to the right video my name is andrew this is professor meatball and today we are
going to talk to you guys about a very specific topic how can you get a data science job in the
afterscape of the pandemic in 2021 and beyond today if you watch this video you're going to
be able to get actionable steps for your 66 days of data from complete beginner and if you think
you're not a complete beginner you can join in on any section of this guide and the best thing about
this guide is that i'm going to walk it through with you completely free right now and if you
want a copy of the guide then please head on over to patreon where my patrons already have access to
all the links and the fun stuff that we're gonna cover today but without further ado let's get into
this document right now is that a christmas tree behind me it's not christmas anymore
out of here all right back to that clock that looks nicer main caveat about this guide is that
it's gonna take only 15 to 30 minutes a day that's it only 15 to 30 minutes a day for 66 days and
you are gonna become a very well-established data scientist in your own regard people are going to
be holding your hands the entire way because there's going to be modules there's going to
be playlists there's going to be people helping you such as me kenji and kaggle you're gonna be
well taken care of and entirely for free if you're looking to how to get started for your first 21
days and i have news for you it is the zero data science bible the original version of the video
which i'm going to link down below or actually right up here so that you can actually right over
there maybe it was over here no it's over there uh right up there so that you can get a head start
on your first 21 days it requires nothing but a computer with a browser because you don't need
to install a single thing just you need to have eyes read and you have a browser firefox chrome
opera whatever you want so the data science bible what i was able to cover in 21 days
was the very first part of the 66 days version here on day 22 you're gonna
watch this video right here it's professor meatball it's you where are your glasses
so watching this video we'll be able to help get in python installed correctly on your computer
for the long run a lot of people install python in a hacky way and then their dependencies and
then their installed packages are all messed up so you want to be able to use this video to get
started and the lucky thing is that's all you need to do for day 22. day 23 to 32 you're going to
start watching this playlist it's kenji's data science project from scratch and this is going
to be very helpful for three main reasons one it's going to be able to help you build your own
project from the ground up with your own data that you scrape from the worldwide internet
selenium and beautiful soup have been widely used in industry and this is one of the ways that you
can prove that your project was actually something that came from data from the real world instead
of a kaggle toy data set that's paramount this is important because then you can start wiping
away the sense that you have zero years of experience you can start playing around with
the idea that hey i have consulting experience or freelance experience i have experience from
a specific type of data science work we'll talk about different tactics in a second about how to
break through the cache 22 the glass wall of getting experience without having experience
this project is going to be seven parts and it's likely going to take you an entire week and a half
which is why i've allotted you an entire 10 days from the 23rd to the 32nd day you can now start
blogging as well if you do a daily blog or the very least put down something in a journal and
then compile it into a holistic blog article at the end of the day you can have a profound impact
on your search engine optimization of your profile this is way more than learning this is getting
to become a data scientist that is renowned that is well known in the industry which is right now
a closely knit community on linkedin and medium as well as some youtubers here and there are
you done with that project congrats you have accomplished a ton you've accomplished basically
80 of what i learned in my master's degree so you are now a very accomplished data scientist well
perhaps you're only halfway done with your 66 days and your 33rd day you're gonna start is doing two
more kaggle micro courses for the next 10 days you're going to do the intro to machine learning
and the machine learning explainability courses these courses are going to be a module a day
and you're going to be able to pace it through even if you only have 15 to 30 minutes after being
able to have machine learning under your belt that is one of the core parts of having a data
science toolkit you're going to start doing lead code questions starting at day 45 you're going to
start doing lead code because this is the main way to pass a technical interview which in my opinion
is the easiest part of a data science interview you're going to have a lot harder time with
the product sense and the product landscape and understanding how statistical tests are conducted
and interpreted but the sql questions should not be the hardest part so go to this link right here
and then start off your lead code journey with sql questions that are free you see lead code wants
you to pay something well this is for entirely free all of the free questions starting with easy
all the way to the three or four hard questions that they have if you can ace those without
looking at the answers you are going to be a rock star now if you want to see me go through a couple
of questions and explain how i approach these lead code questions then i will link a video down
below and above at the same time towards day 46 now that you've had the micro course under your
belt you're going to want to start looking into how to use machine learning models in industry
which is going to help a lot with this article all machine learning models explained in six minutes
intuitive explanations of the most popular machine learning models so this is going to be extremely
valuable be being able to explain this in an interview because ultimately you're gonna have
to be able to take these machine learning models that you've now have a gist of because of the
two kaggle courses and explain it to someone who doesn't know a lickety-split thing about what you
know regression and classification and support vector machines are they just want to know what
the business proposition is so this is going to be helpful you're also going to start wanting to go
through the machine learning questions and luckily springboard has created a 51 essential machine
learning questions uh and answers so you are going to be able to start preparing for those interviews
day 48 to 54 is when you really want to start practicing interviews and i've linked a bunch of
actual practice interviews from youtube by certain friends and by professional companies we have one
machine learning design interview by data science j we have one sql most asked question by me
we also have one sql interview question by a fang data scientist tina huang and finally most
importantly i want you to get a pramp account so that you can start meeting people who are also
practicing for the interviews and be a interviewer and an interviewee trade off roles and it's
entirely free from what i can understand it is one of the best ways to be able to get data science
learning under your belt in an interview sense so that you're not just talking to thin air like
me with this camera right now final 12 days final two weeks ish you are in the home stretch i have
to say congratulations for making it this far one of the most important things that people miss out
on and they have an entire master's degree behind them or they have an entire boot camp behind them
and they haven't even learned how to code email so use the third door technique the briefcase
technique i covered this with jeff lee who was able to leverage seven different offers during
the pandemic this year so go ahead and check out that video i'm gonna link that as well and check
out this video it's how to write cold emails with grow with will another fellow youtuber
he makes excellent content about exactly how you should position yourself as a cold emailer
because getting those connections can really help you push your application through the door
because one of the most important things is with less than one year of experience you're gonna
be at the bottom of the resume stack for most of these positions and you want to be able to
really have a t-shaped application process if you've skipped all the way to the end hey
welcome welcome to the video you have now reached the part of the interview process where you want
to have as many applications that take less than 60 seconds long this is going to be from angellist
and linkedin easyapply and then have a couple of applications where you have just a ton of
work put into it 60 minutes of market research of aggregating some data that you scraped from
selenium or some other user group and then having a compelling case to provide a data science hiring
manager or perhaps just anyone on the team who is interested in hearing your story if you take
anyway anything from this code email section it's be approachable be someone that they want to be
friends with be a lifelong relationship with i know in other cultures it's more likely that
you're going to have a response if you act as a subordinate as someone who is looking for a mentor
that is not necessarily something that will get you clicks or responses in the american landscape
or the north american landscape so one of the most important things to remember is you want
to start building lifelong relationships because you're getting a job sure maybe in the next one
to four years but what about after the four year mark well you're gonna have to find a new job and
all of the friends you've made along the way even upperclassmen from alumni now that were
going to the same school those people could have helped you transition into your next job so make
sure to stay connected with those connections finally build relationships that last really
really this is just a general term for any kind of career but in data science specifically you're
gonna find that it's a very small closely knit community so that's the best advice i have for you
this whole time you are still doing one lead code question a day you're still blogging which
you started off doing one a day or perhaps you're still aggregating your blogs and your progress so
that you can now put out that medium article and then send it out into the linkedin world building
that online profile i cannot stress enough is so important and i'm glad you are keeping it up until
now you've made it all the way through if you want me to go into more detail i built this document in
a live stream which i'm gonna link up below and i also have a hard mode boss mode 21 day version of
this that even has more detail has even crazier advantages to this one so if you want access to
this document that i have all the links to then go ahead and throw me a coffee up on patreon or
if you want the boss mode that is also on patreon as well hey my name is editing andrew i'm here to
say thank you guys for staying all the way to the end if you wanted to see exactly what kenji thinks
about this specific guide as well as the boss mode guide i would really recommend checking out
the live stream we did two days ago this is going to give you a good sense of what ken's take is on
learning data science in 2021 and it'll give you more context about exactly what you should work
on holistically outside of this guide now back to your regular andrew see ya if you leave a comment
down below i'm going to comment on it i'm going to reply to you it's going to be a conversation
and youth are going to feel a big part of this community if you want to feel like you can talk
to me directly then go ahead and go on discord that's going to be in the link down below if
you want to support me then click any of the links down below including getting some free stocks from
weeble getting some free audiobooks from audible or if you buy a lot of stuff on amazon then start
your session with one of the amazon affiliate links down below it costs nothing to you and it
makes me a couple of pennies so that's nice if you're interested in collaborating i would love
to shout you out in a future video just like this one so go ahead and screenshot this video tag me
on instagram andrew mo money and i will pick you i will pick you to be shouted out in one of the next
videos for now but not ever for forever i will see you guys in the next one please
watch another video i'm going to suggest one right after the cool outro sequence but for now
you can have a
this is actually not going to be a very fun video