Complete Roadmap to Become a Data Scientist
Data scientist collect, analyze, process raw data to get insights from it. There is
a increase of 62 % in demand in current year. Average salary is 10,00,000. And in
coming future this job will do fantastic. Data scientist will become an advantage
for more earning. There are some personal tips and tricks which I have used.
Statistics is the ultimate resource for this , from where to learn statistics ? The
1st you should know is Statistics. Then you have to learn real meaning of dy/dx.
After this, you should learn about distribution and Optimisation. I 'll give you a
target of 3 months and you'll learn within 3 months. You 'll get to know
optimisation and normal distribution from Hines. Optimisation and gradient descent
of dy/dx, geometric meaning of this I have told in my playlist. Then you have to
learn about Numpy and Pandas. Matplotlib and Seaborn are a library.
Matplotlib and Seaborn are very good for data visualization. For data
visualization, start with Matplot lib , and then keep it as an option. In excel, if
you want to plot x and y, then you do n't have to use this. As a data scientist it
will be very useful to you when you will use different type of algorithms. You
should know database. What is this database ? You can learn mySQL. If you already
know about NoSQL database, than any one database you should know. And you can know
how to connect this database to python. There is pymongo to connect with mongo db.
If your machines are powerful, than your biggest data can be handled here only.
There is Tableau and Hadoop. So its optional. Feel free if you want to ignore. But
I am telling that when you start solving problems of data science. At that time you
can go with this. That does'nt mean you have to learn this , but atleast you can
give it a try.
Machine learning is not a big thing as people think How I will do in so less time.
You do n't have to research in machine learning You can do it you just need to
learn this much That you can work on data What company want if you can give
insights , If you can solve problem then they do not care what you know in what
depth. I have made a video for Linux learn Linux in one video. In which I have
shown you basic Linux which you need So you can watch that in less time more Linux.
After this , Other things you need to learn as Linux and git. In this video I have
only teach to run VMs and all Learn to do SSH in machine that 's it I have taught'
There are no more learning resources if you think there are many things to learn
then no This much is it. Statistics, programming, ML , ML , DL Not much just shown
that much If you are able to see external tools of data visualisation then do see
else learn to work in excel. Excel is compulsory to learn graph Sum and the
function of concatenation and everything you learn. Linux and git , see one video
of each of them in external courses.
your link of GitHub trending repository Where you will find all the trending
repositories of GitHub. You can see and can download the code to execute. Once you
learn Python this will be more easy for you Python and LINUX , Linux is not much
useful It works on Windows machine too but GitHub trending repositories Execute
them by downloading Then there is a website named paperswithcode the latest
research Is given with code means source code in GitHub link. A person of IIT, NIT,
and tier 3 then people tend to look once to IIT person. But listen to the whole
point I have n't finished It does n't mean that tier3 or private college person. It
's not like all hopes are finished for them. They can compensate that with their
knowledge with knowledge and seriousness. A person who wasted time in IIT and know
things well Then companies will hire them but do n't say this that Does n't matter.
Data scientist collect, analyze, process raw data to get insights from it. There is
a increase of 62 % in demand in current year. Average salary is 10,00,000. And in
coming future this job will do fantastic. Data scientist will become an advantage
for more earning. There are some personal tips and tricks which I have used.
Statistics is the ultimate resource for this , from where to learn statistics ? The
1st you should know is Statistics. Then you have to learn real meaning of dy/dx.
After this, you should learn about distribution and Optimisation. I 'll give you a
target of 3 months and you'll learn within 3 months. You 'll get to know
optimisation and normal distribution from Hines. Optimisation and gradient descent
of dy/dx, geometric meaning of this I have told in my playlist. Then you have to
learn about Numpy and Pandas. Matplotlib and Seaborn are a library.
Matplotlib and Seaborn are very good for data visualization. For data
visualization, start with Matplot lib , and then keep it as an option. In excel, if
you want to plot x and y, then you do n't have to use this. As a data scientist it
will be very useful to you when you will use different type of algorithms. You
should know database. What is this database ? You can learn mySQL. If you already
know about NoSQL database, than any one database you should know. And you can know
how to connect this database to python. There is pymongo to connect with mongo db.
If your machines are powerful, than your biggest data can be handled here only.
There is Tableau and Hadoop. So its optional. Feel free if you want to ignore. But
I am telling that when you start solving problems of data science. At that time you
can go with this. That does'nt mean you have to learn this , but atleast you can
give it a try.
Machine learning is not a big thing as people think How I will do in so less time.
You do n't have to research in machine learning You can do it you just need to
learn this much That you can work on data What company want if you can give
insights , If you can solve problem then they do not care what you know in what
depth. I have made a video for Linux learn Linux in one video. In which I have
shown you basic Linux which you need So you can watch that in less time more Linux.
After this , Other things you need to learn as Linux and git. In this video I have
only teach to run VMs and all Learn to do SSH in machine that 's it I have taught'
There are no more learning resources if you think there are many things to learn
then no This much is it. Statistics, programming, ML , ML , DL Not much just shown
that much If you are able to see external tools of data visualisation then do see
else learn to work in excel. Excel is compulsory to learn graph Sum and the
function of concatenation and everything you learn. Linux and git , see one video
of each of them in external courses.
your link of GitHub trending repository Where you will find all the trending
repositories of GitHub. You can see and can download the code to execute. Once you
learn Python this will be more easy for you Python and LINUX , Linux is not much
useful It works on Windows machine too but GitHub trending repositories Execute
them by downloading Then there is a website named paperswithcode the latest
research Is given with code means source code in GitHub link. A person of IIT, NIT,
and tier 3 then people tend to look once to IIT person. But listen to the whole
point I have n't finished It does n't mean that tier3 or private college person. It
's not like all hopes are finished for them. They can compensate that with their
knowledge with knowledge and seriousness. A person who wasted time in IIT and know
things well Then companies will hire them but do n't say this that Does n't matter.
