Data science roadmap: What skills you should learn first?

Hi friends, in today's video I am sharing my self-taught data science roadmap and first skill you should learn as well as learnings resources and my method for learning any new skill. If you have any questions or suggestions for next video, leave it in comments.

~~~ CERTIFICATES & COURSES ~~~

DATA SCIENTIST

DATA ANALYTICS

PYTHON

SQL

MACHINE LEARNING

STATISTICS

EXCEL

CODING PRACTICE

~~~~~~~~~~~~~~~~~~~~~~~~~~~

MY FAVORITE GEAR

MY FAVORITE TOOLS

LET'S BE FRIENDS

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0:00 start
0:09 background - "sexiest job"
0:42 my journey into data science
1:30 find your niche
3:40 3 options to enter the field
5:19 first skill to learn
8:09 learning method & resources

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ABOUT ME
I'm Sundas. I'm a self-taught data scientist from a non-tech background, currently at a FAANG company. I have been in the industry for over 8 years spread across two big tech companies. On this channel, I share tips for people interested in entering data science with the goal to democratize knowledge and make complicated topics digestible for everyone. All opinions are mine!

PS. Some of the links included are affiliate links and help me keep this channel going. Thanks for the support.

#datascience #roadmap #statistics

[ImmigrantLife]

It's so important that people like you come up with such good content in order to teach folks that data science is not just about programming language and applying random ML libraries to get >90% efficiency. Like you said, Math and stat is always the key and everyone should start with that, even though we don't often use it in real world scenario in companies.

[TonmoyAnanda]

Sundas hits the spot with the message - "Start with STATISTICS!" Tools like SQL and Python are important, but not as vital as statistics. One of the most useful insights for anyone starting career in Analytics or Data Science.

[muhammadshoaib]

When you said "people with non-tech background"...my heart pounded "this is the place".😍
Thank You!

[galenseilis]

I guess basic statistics can be learned quickly, but I disagree with "there's not much to Statistics". It is a vast subject by itself.

[antoanetamanko]

+1 on the book! It is a great resource to start with! And it also has coding exercises, which helps a lot with practicing stats and coding.

[jafrinajabin]

Thank you so much. I was literally feeling lost to figure out what should I learn first. Python, R, SQL. Now, I got hope. Thank you so much for your videos.

[Wisdomshots]

I love this... Much love from Nigeria
I studied industrial mathematics at undergrad and did a lot of statistics...
My ist love has always been computer science and my passion is machine learning

[haley]

This video was helpful! I'm currently a UX Researcher and have my feet in both qualitative and quantitative research, where the quantitative requires a lot of data analysis. I enjoy diving into data, but wasn't sure which route I should take for my particular job to build out more of a niche in a Quant UX Researcher role. Now I feel like I know more of what I want to dive into further and want to focus more on the Data Analysis route.

[vaibhavluthra]

Best information for how to get started. I have been working as data engineer and have decent knowledge about things used in this space but everytime I think of machine learning course...statistics comes in the way and I am bewildered. Statistics is the best way to get started :)

[rosemarychidera]

As someone who wants to learn data science, this is been helpful. It cuts the going around and watching all the videos in DS without understanding anything

[ShankariS-ocse]

Wow, thank you very much for making this video! I was a little unsure where to begin, but your video clarified everything for me.

[abubakar]

But the truth is we all know in reality in while doing jobs we don't need a very deep knowledge of stats and maths to pursue a career as ML engineer or Data scientist simple blogs published on Towards data science will be enough to give us basics to work on also keras, pytorch, tensorflow are providing ready to use algorithms of ML and deeplearning so if you don't even have deep knowledge of stats you can still pursue the career in data science

[SatishPatil-nmfw]

Went through your channel & seen most of the content it's very much inspiring. With respect to current video I would like to mention, I studied statistics in my academics (B.E + MBA) also its worth to mention my professor for Statistics was J R Nagla (Author of book --Statistics For Textile Engineers), But I never got a call for job basis Statistics knowledge. I always been asked whether I am good at SQL, R, & now days Python🤷🏽‍♂️

[rexplorenow]

So true on "Learning Statistics"!

[shahinchoudhury]

i recommend every aspiring data scientist to read The art of statistics and/or naked statistics... not mathematically rigorous, these are like "story telling" books, its super useful to know what you're upto
trust me
you won't regret this experience.

[aparsa-mit]

Now I know machine learning is what I am about. The other three overlaps and the respective field is irrelevant to me. Thanks Sundas!

[jessicagomez]

Thank you so much for this info. I had an idea statistics was a good place to start and I saw that book on amazon too. I am very excited to start my journey in business analytics✨

[ben-cber]

Valuable content and glad to see someone pointing out a book they read because it's not easy to pick a good book as there's many of them. Thank you for sharing

[Cat-jzcr]

I'm an administrative assistant supervisor for a federal agency going on 8 years. I hate it. Feels like the biggest waste of my time and energy because we lack the tools you would think an organization like that would have to help manage data and the piles of paperwork. Instead, it's a lot of us female admin assistant manually cranking wheels to just to make anything move. I hope I can do something to initiate a career change in the near future. I have been looking more and more into this field. Thank you for your video and content!!!

[osamahameed]

It depends when u are stepping in the field DS. I am Electronics Engineer. It took me only 2 weeks to learn DS at beginner level. Before stepping in to DS, i had already studied Calculus, Differential equations, Linear Algebra, Probability and stochastic, Numerical computing, Computer programming, Digital image processing, Signal processing, FPGA and Control systems in university. I had learnt programming in several language during my degree C, C++, Matlab, programming of signal processing computers, FPGA boards, Microprocessors and microcontroller.