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.
Link to the Statistics book: bit.ly/3n5f3Jc
My Self-Taught Data Science Journey: • My Data Science Journe...
How I Would Learn Data Science in 2022: • How I Would Learn Data...
Why is Data Science Job Search Hard? • Why is it Hard to Find...
~~~ CERTIFICATES & COURSES ~~~
DATA SCIENTIST
📊 Data Science Certificate 👉🏼 imp.i384100.net/DataScienceCert
🏅 Data Science Bootcamp 👉🏼 bit.ly/data-scientist-bootcamp
DATA ANALYTICS
🏅 Google Data Analytics Certificate 👉🏼 imp.i384100.net/GoogleDataCert
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PYTHON
🐍 Python for Everybody 👉🏼 imp.i384100.net/PythonSpec
⚡ Python for Data Science 👉🏼 bit.ly/python-data-science-ml
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🏅 Python Pandas 👉🏼 bit.ly/python-pandas-data-ana...
SQL
⚡ SQL Basics for Data Science 👉🏼 imp.i384100.net/SQLforDS
🏅 SQL Bootcamp 👉🏼 bit.ly/sql-bootcamps
MACHINE LEARNING
🏅 Machine Learning Bootcamp 👉🏼 bit.ly/machine-learning-atoz
⚙️ Machine Learning Specialization 👉🏼 imp.i384100.net/ML
STATISTICS
⚙️ Statistics for Data Analysis 👉🏼 bit.ly/statistics-data-science
📑 Intro to Statistics 👉🏼 imp.i384100.net/Stats
EXCEL
🎨 Excel for Data Analysis 👉🏼imp.i384100.net/Excel
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kzbin.info?...
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
BINGE THESE PLAYLISTS NEXT
Starting in Data Science: • Starting in Data Science
Learn SQL: • Learn SQL
The Tech Lounge: • The Tech Lounge
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!
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#datascience #roadmap #statistics

[@galenseilis5971]

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.

[@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.

[@SundasKhalid]

Thank you! I appreciate your comment and encouragement.

[@chaithdridi2718]

Greetings.Do I need to learn calculus before tackling statistics or I can directly start learning statistics without needing calculus

[@SmartStartTEFL]

@@chaithdridi2718 calculus is a must. Even the simpliest Linear regression is in essence calculus

[@dr.mohamedaitnouh4501]

Great video straight to the point. Thank u so much for helping me make a first idea. I am a mathematician going to transfer to this Data Science world. Seems learning statistics first is key them Python and R and SQL.

[@Hastur876]

@@SmartStartTEFL linear regression is matrix algebra, not calculus.

[@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.

[@haley2486]

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.

[@WalterOtienowais]

Practical statistics for data scientist book

[@muhammadshoaib1516]

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

[@antoanetamanko7457]

+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.

[@mohitupadhayay1439]

Hey can we talk on Insta? Need your help.

[@xhuduwfucalwodo]

@@mohitupadhayay1439 No

[@jafrinajabin4438]

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.

[@ben-cb5er]

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

[@ShankariS-oc4se]

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

[@SundasKhalid]

Glad it was helpful!

[@praveens4795]

Yeah

[@ranjits7383]

So true on "Learning Statistics"!

[@dinhxuanloc94]

This is what I looking for to start my data scientist journey. Just done with Python and SQ, I was trying to find something belong to fundamental and build up mindset.

[@Wisdomshots9]

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

[@omoladelekan5139]

Hey man..... I'm from Nigeria also and just starting my data analysis career

[@Wisdomshots9]

@@omoladelekan5139 wow that's great to hear... we should stay in touch

[@Danniebeauty]

@@omoladelekan5139 I'm from Nigeria as well and starting up my data science career.. How has your journey been so far?

[@sharat.achary]

Hi Ma'am, Sincerely thank you for sharing such a valuable information especially for me as I have been just wandering on YT and other mediums to just get started. I want to remember this day and this video down the lane when I figure out where I belong in the Venn diagram and achieve it. Thank you for pointing out a much efficient approach and direction. Truly, Sharat

[@aparnag.4862]

Hey Sundas, Great Video! Thanks for sharing your tips. I have one suggestion/request on a topic you should do i video on. Paths of carrer progression in data science/analytics. This will be helpful for people like me who have already spent a year or two in data science field to understand what are the directions you can take to progress in this field.

[@rosemarychidera4643]

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

[@PATRICKCHUAD]

thanks for sharing your experience in transitioning to data scientist role. Some of your suggestion is good which is actually what I'm doing so far, watching different you tube video on on same topic because as you pointed out different people has their own way of interpretation of the subject and is more simplified , until you fully grasp the subject. Please keep sharing your knowledge.

[@vuyisilekhupiso7529]

Thank you sooo much for this....You just saved me precious time, really taking your advise on learning stats.

[@chuanqizhu1549]

Thank you for this video! It helps me become clear about what data scientists do!

[@MrData_]

Thanks, very explicit. You actually broke it down very well.

[@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 :)

[@SundasKhalid]

Thanks for sharing insight from your experience!

[@anushagiridharnaik9576]

Mam I am bsc pmcs students ... physics and computer science is my major subject...can i do MSc in data science.... please reply me..... 🙏

[@xhuduwfucalwodo]

@@anushagiridharnaik9576 Yes you can

[@anushagiridharnaik9576]

But mam...new education policy ...my major subject is only computer science...there is no maths subject... when i am final year,my subject is computer science onaly...so i can eligible for MSc in data science... please reply me mam ..and iam not statistics background ...in my degree onaly two science subject are there that is physic and computer science...so i am eligible or not....onaly cs background student can join the MSc in data science... please please reply me

[@SatishPatil-nm1fw]

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🤷🏽‍♂️

[@valeeereader5056]

so do u think your Statistics degree was worthy in order to be part of the data science field? I'm an stats student and I wonder the same lol

[@anuronguha0898]

@@valeeereader5056 yes it helps

[@swanandchavan6631]

This is for what i was actually searching for

[@abubakar205]

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

[@chacmool2581]

Yeah. I wouldn't hire you. Anyone can be a software monkey. Fewer, much fewer people can do the math.

[@RiteshSonavane]

Those who know that is the key difference between a mediocre and skilled person so will be their salary.

[@chacmool2581]

@@RiteshSonavane I see it in my graduate program. Students often ask, "tell me when to use this, and when to use that", when the answer to the question is "it depends." And knowing how and why it depends is the true knowledge. People want the formula, they want to simply pull the lever. push the button. People don't want to have to think. But there still no free lunch.

[@RiteshSonavane]

@@chacmool2581 Yes totally agree, I agreed to your previous comment too 😅.

[@johnwig285]

That's not the truth that's just sweet talk someone told you. Companies dont want ppl who only know how to use built in libraries.

[@mysterygamer-wk2kn]

Thank you! That is so helpful how and where to start Data Science profession. I was a kind of confused. But, hopefully this was helpful.

[@gowthamrajendran4465]

Thank you for this video mam… got lot of motivation from you in google data analytics course.

[@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!

[@AccountancyPoint]

Thanks a lot for your precious suggestions about data science.

[@saktheeswariprabhakaran7070]

Amazing video, I was wondering where to start and what to learn to kickstart my career in datascience, this video helped me. Thankyou so much for your video mam!

[@swetasarang2172]

Thank you so much for this wonderful and helpful information.

[@prakharjain8739]

Thank you ma'am, This video will really guide next gen Data Scientist like me 😊

[@SundasKhalid]

Glad it's helpful!

[@mahindharkumar3379]

Appreciate the content, thankyou for doing this!

[@hamiby3995]

Saw you on the Google data analytics course and somehow you popped up on my recommended videos on KZbin 😁 appreciate these videos, very helpful! Following you here and on instagram!

[@virajwaikar5494]

Ma'am u r video was really useful for youngsters like us so we can decide our field in this tech world ...😇😇😇

[@amalhamza8000]

Thank you for your explanation Wish you the best in your professional life ♥️♥️♥️

[@imdadulhaque9757]

This is mind blowing explanation.... it's too helpful. thanks for making this❤️

[@seancruz954]

Great video, Thanks!

[@ayodelemichael1642]

Your content is extremely useful. Thank you for the insights you shared

[@grahamwilliams2632]

I ordered the statistics book that you recommended. Thanks

[@raaj3017]

Hey Sundas! You are here just when I needed guidance!🤩 Thanks soo much for being here and doing this for us!!❤️ Also wanna request you if you could elaborate Data Science fields/Job profiles!??🙌 Since I belong to Non-Tech background, have no idea about them..

[@mohamedslyemi5620]

Wow that was awesome!!! Now I feagured out from where to begin

[@SachinKumar-je2to]

Thanks mam for valuable knowledge , please guide me about which one should I first start if I am focussing on machine learning

[@atifyaqoob5179]

Thanks for sharing informative info and showing the right path ma'am. 🥰

[@ZugZugBoi]

Thanks for explaining!

[@jessicagomez1760]

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✨

[@mohomedrameesmohomedraheem9841]

Hii im also gonna do business analytics pls dm.me

[@user-df3qf6uk5r]

I have watched many videos on yt but mam ur too cool the way u expalined it was fab thankyou mam I love u mam and once again thankyou for sharing this kind of video

[@muhammad6780]

Great video. Thanks

[@aaabul]

Finally a helpful video for me on data science 👍

[@deshabhaktg6530]

Thank you so much for such an insightful information. On to statistics now...

[@sbaek007]

I absolutely agree with your comments about statistics and I love/own/have read the same book cover to cover. There is now a 2nd edition with python implementation. BTW, reason I am leaving comment is to hear your thought about the actual interview questions. I recently went through google data scientist interview (1 hour tech screen) and to my surprise, the question was straight out "coin flip" probability and expectation problem... I was really surprised because the question is very much contrived and I couldn't come up with the answer very easily at first. That was the only question (some resume related question before that, of course) I got in the session. As a data scientist myself, those type of questions are really hit or miss and personally I don't think it'd help to measure one's understanding of stats or technical background. How would you suggest prepare those?

[@maazshah8420]

Can you give me your Instagram id i have to ask some questions bro

[@rafidhealham1577]

great video for me. thank you so much. just found you out today and now I am officially considering you as my mentor.😂

[@techworldwithmukesh4287]

Thank You. It really helps in figuring out the steps for data sicience.

[@143kamalesh]

So helpful thankyou so much ma'am 🙏

[@mudaliyarnz3797]

Great stuff! Thanks 😊

[@gazitowhid]

excellent mam, very inspiring, thanks for sharing

[@CarlaML15]

I loved the video. Thank you!!

[@ithisrinu9593]

Thank you for valuable information

[@saikatchatterjee2100]

Thank you for Nice Video.

[@gabrielbolaji8617]

Nice 👍 keep the ace up

[@Mi-rinconcito]

Thank you for your video. I am an entry level Software Engineer, and I want to learn about Data Science :)

[@skynetrules340]

You re awesome! Could you please upload how you cracked Google DS interview. Step by step, what type of questions were asked and what was your thought process. This will be of great help.

[@harmeenkaur4034]

Thankyou so much it was soooooo helpful...as I am going to start with my journey in this field may be this will help♥️♥️

[@lassarvellara6585]

Nice presentation, thanks again for sharing 👍

[@asfandyarsaeed6402]

I have been watch your videos and am really motivated by your hardwork >> want to extend my career in Data ENgineering and now a days I am getting free course of ML like ML by Kaggle,AWS ML foundational course. Some time I start thinking that i will be lost by getting these courses. so I request you to make some video related to Data Engineering,How a data Science Learner can switch into data engineering and How can ML Engineer switch to Data Engineering I think this will clear many students confusion

[@ranganathindunil9544]

I't is very useful. Thank you so mush Sundas Khalid.

[@siminli716]

thank you so much, information you shared are very inspiring

[@ozairakhtarcom]

Thanks a lot for all the information.

[@lifeoftravel535]

Really Nice and Really Beautiful " Data science roadmap " . Stay Connected!😍😍😍🤗🤗🤗

[@laraibriaz8173]

Thank you Sundas such a helpful video, please keep making more

[@vinayl910]

Thank you dear .... you encourage me.

[@candidlyvivian]

Love this Sundas! :)

[@RyanRJ]

Great info!

[@shahinchoudhury8256]

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.

[@vihasatikumari5676]

Hello I am vivek, I am non it background, I want to learn data science, can you help me

[@kanikavyas912]

Hi, what is the roadmap to become Data scientist in particular??

[@priyashreedubey5844]

I'm thinking of doing bsc in statistics, will that be helpful and good for my resume?

[@sandiptiwari8777]

Wow!! Very informative video thank you so much mam🙏❤

[@ihtashamulhaqkundi8023]

Awesome 👏

[@bishwarai]

Thank you so much for such an insightful video

[@vernacularbarnarchitecture]

Thank you so much!

[@nandagopal375]

Thanks for valuable information

[@osamahameed1236]

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.

[@dr.mohamedaitnouh4501]

Did u become millionaire with all this? Hhh

[@hasanmahmud4543]

Beauty with brain& skill... 😁😍🥰

[@colabwork1910]

I think like data scientists we have to learn ML, Maths, and Statistics and programing regardless of in which niche we are.

[@Cat-jz6cr]

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!!!

[@kefahatumi9095]

THis is very good advice

[@uzair00la]

You have some very good content. Keep it up!

[@SundasKhalid]

Thank you!

[@kalyaninayak9255]

Thank you Sundas for sharing the information. The videos on your channel are really inspiring. :) I have worked for 5 years in Software Testing and have career gap of 6 years as I took break for my personal reasons. Now i want start again and planning on Google Data Analytics Certification. I have no prior knowledge of programming language. Can you suggest any good website or any videos for the better understanding?

[@joshk7051]

Meanwhile, I'm doing all three at the same time lol. Enrolled in an MSDS, enrolled in a coding BootCamp for DS, and self-teaching other concepts that I stumble upon (mainly API / low code automation etc). All while working as a "BA", which in reality is more like a jack of trades. I'm all over the place and don't mind because I learn a lot and I've become the go-to guy for "we need to figure this out maybe you can help" aka job security while advancing my skillsets outside of my current scope.

[@akshatham6169]

You literally explained in a easy way where the steps you have explained here, would help many to reach their goal. Loved it :)

[@SundasKhalid]

Thank you so much! I am so glad you found it helpful.

[@beltayefhanen1151]

وقل ربي زدني علما و علمني ما ينفعني و انفعني بما علمتني

[@asifshaharia2756]

your channel is my favorite.

[@bijaykhanal1448]

U r awesum.thanx from nepal. Looks like there are a lot of topics in that book. Im lost as to which are the topics i should learn in statistics for data science.

[@anupamanandi7846]

Statistics is vast. Which portion really needs in data scientist.

[@EstherJKaur]

Hi Sunday’s, in the section of your learning method and resources, you mentioned a video channel, I couldn’t catch the name, can you guide me to it? Or share the link? That would be a great help!

[@anumeyana7016]

Thank you for such an informative video, appreciate people from real time experienceare sharing it with people which will he a great help to so many.., I'm working as a software engineer but don't think I'm good at technical so was thinking to move to non technical roles. And these thoughts are really tiring when u end up in too many options and not able to conclude. I am with Bsc maths and Msc computers background, and in 2016 thought searched so much how to utilise my maths skills in IT, but unfortunately couldn't find so much that time..now when I hear on Data scene I feel I lost so much opportunity, but I would like to resstart my learning and your videos are really inspiring. Is it okay for a person with almost 8years gap from Bsc maths to start on Data science now? Please reply

[@shalinik3376]

great content, Sundas! However, I'm unable to spot the video link that elaborate "Data scientist" stream. Could you please repost the link, so that i could get clear analysis which in turn help me streamline career path. Thanks!

[@shahooneychowdhury1212]

thanks mam your Video really soo much helpful for me ❤️❤️❤️

[@jpyramjd]

This was very helpful

[@idahosadavid6595]

Thanks for the insight

[@zohaibaamer9180]

It was a great vid!

[@rabiukhalid3907]

Yours is the best ❤️

[@suyashjaiswal2782]

Algo gods bless this video !!

[@RudolphMensah]

Thank you, super helpful