The term 'self taught' wudnt be entirely true in your case, right? You were working with Amazon and you had some of the best mentors there who guided you on how to go about with things. This would mean you still had people to teach you concepts around the subject. Also one of the biggest advantages you had was you were in the US already where most tech companies still welcome ppl from non tech backgrounds to apply for tech jobs. Most tech companies located in 'Third world' countries wont even bother to look at your resumes upon knowing you dont even hold a Bachelor's degree in the relevant subject.
Love your journey....even though you didn't specifically learn data science through an advanced degree, you did a couple of open data courses, and you learnt a lot on the Job. NOTE:Just start somewhere and learn effectively on the job, then you can transition if you want to, and possibly get an advanced degree if you want to.
Very Inspiring. Thank you. Please make a video on your past work experience’s, how did you prepare for the job & it would be great if you could throw some light on the work culture challenges you overcomed also related to your projects.
Very motivating. I also have had a 6 year gap inbetween HS & undergrad, so this has been re-assuring. Could you give any advice on how you would change your path in order to get into DS in a quicker pace?
First, congratulations to you. It takes a lot of positive qualities to take a self-motivated, self-organized journey into a whole career. That said, I'm a neurologist. One of my interests is human brain variations. A wonderful aspect of life is diversity - different brain developments, different backgrounds, different interests. So, to pursue data analysis one has to have certain types of interests and certain desires from a career. Maybe you could make a video on what the day to day life of a data scientist is like, and who might be a person to fit this career path.
i came here to not to learn python coding . But your word is inspiring me . It tell me that i am too not from technical background but you inspire me that I can too do it . Thank you 🙏
You are clearly a _Naturally_ smart & self-motivated person. I found this very enlightening / educational. People can almost always "Self Start" if they are motivated truly & you are a great example of being "The Real Thing"
I create excel tools and perform metric analysis using raw data sets for my department. In every job I've had so far, from retail to QC lab, I've found myself trying to solve problems with the tools I had, usually a messy data query and excel. I think they're pretty basic excel skills I learned myself while independently trying to analyze and organize the data. All my projects are self driven and outside of my role/responsibilities, essentially delivering these metrics and tools for "free" because I find it fun to do. I've recently considered moving into a data/informatics focused field, but I have no coding knowledge. My current job pays decently well and it's hard to walk away from. I think for now I'll expand my skill set within my current role basically be the "excel" expert of whatever department I'm in while making connections to people within the company that are in roles I am interested in. Maybe I'll try to also apply for mid level roles, it's just hard since I'm essentially entry level skilled, but don't want to give up my current mid to high tier salary (in my field at least).
This video is so helpful. I have been on the fence about taking a bootcamp to get into DS for the last year. I feel like I should’ve just took the chance at this point because now so much time has passed. I would love to hear your opinion about these boot camps because so many on Reddit and online post how you cannot find work unless you have a degree. But your video is making me feel more confident to take the plunge.
Most of things you said are true but somehow aren't useful for some to look for advices. For example, retention rate is low that's mostly caused low efficient learning strategies and bad learning habits. you learn stuff one day and you get it, you have to schedule to review them until those knowledge were committed to the long-term memory. in terms of practical things, it'd be different from the learning and working for sure. But I still think it's style and way of working.
Hello Mam, Finding a job after a break is really hard without any referral or any bootcamp. So how did you get your 1st job as a fresher?? Any help how to get into the industry without the help of referral as a fresher.
@Sundas Khalid I am just finishing my master's in tech and I have a Data Science internship but the companies I've applied prefer "people with more experience in industry". How can I stand out for a Data Science role with almost no experience?
Honestly, in the biggest schema it doesn't matter which tool. One way to narrow down is look at your target role/company and learn tools based on their toolkit.
Please, share any website links or any collection of General Data Science projects for beginners if you have any. As a noob, I am not sure which one to pick for starting. If possible, make a video on that also.
New to your channel and very inspiring!! But technically strictly speaking I wouldn't say you're really "non-tech" background. Traditionally the B school student/major is referring to more just business (accounting/ finance/ marketing..etc); if you've done any IT/ MIS/ SQL courses from school, even it's under b school, you did have your exposure already. I've met quite a few data scientists in person or listened to a lot of podcasts (one of my very favo is Me, Myself, and AI); the true "tech" background ppl are in fact minority. There are quite a lot Physics/ Applied Physics/ Applied Maths or even Engineering background turned DS out there. I do totally agree your message throughout a few videos though: the fundamental theory and basic is actually the most important, not the coding. There is no DS if there is no "Statistics", which is probably why you said it somewhere too a lot of the companies offer a job with DS title while the job content has nothing really to do with DS but really just about computer science/ data IT related. Also why not all CS background people can be a good DS, because it's really not just about cleaning data, ETL, DB or data engineering.
Business is the most relevant degree for DS in my view. You already take classes in technology as a business student including data analytics, MIS etc. Also there's a huge side of statistics in business. Specially those who specialize in finance, economics or MIS going into DS will be easy.
Just subscribed ur channel. Just a simple question, are u from India???. Your first name seemed to be indian but last name from Arab. What was the whole thing???
Data analyst is more envolved with data itself, when you already have the numbers, the methods, or anything that you can to provide information without further research, so you use technical stuff such as excel, power bi, tableau, etc to present this data with nice design and analysis. Data scientist is a little deeper, you need a larger skillset of statistics, math, computer itself, because you will be using programming to solve your problems, the projects are bigger and they have a higher level of complexity (tools: python, jupyter notebook, matplotlib, pandas, sql, programming, etc) to build models of prediction, working with IA, NLP, computer vision, etc...you have more options in ds as well.
@@abz274 yes exactly my thoughts too..hence the question whether she is working as a Data Analyst or a Data Scientist..maybe in some organizations they are used interchangeably..
@@TheAnugupta I'm a data scientist at IBM and many clients don't have a clue about the difference. Many times I was asked to do stuff with excel (which I suck) and metrics of marketing stuff. I was like?? Why do you need me for exactly? "Aren't you a data scientist?" hahaha very common to happen.
@uranus to me, data engineering is more "technical". you get the data and you build an etl from scratch (you need to know about data architecture, big data, sql)...i totally get it what Sundas said about repetition, because it's basically the same what you do many times in many projects (very recommended for those who don't mind knowing about business), it's not so focused on the thinking of "what happened here", "why could be the reason of x thing happening", which i consider a data scientist role, the solution of problems where you can be creative about insights. as for my career choice, i actually didn't have a clue about any of these (i was working previously with hotelary, totally non related). hahaha i didn't even know how to work with excel. i got an internship at ibm, where they alocated me in the fullstack role, but i hated, i like to think about stuff, connect the dots, programming is just the tool for it, but i don't find it particularly fun. so they made me take data courses, i felt it wasn't for me cause i've always have been terrible at math, but...in data things just started to make sense somehow, so i kept studying and now i'm working with AI and i became and specialist in machine learning. :) any questions, feel free to ask.
Thanks for watching! What videos you would like to see next?
Put some light on an untapped topic : Data Science with Business Analytics, i cant see many youtubers doing this
I’m your big fan. I really love your videos. Please make a video explaining work or job of different data science job families.
NLP jobs,courses,roadmap,etc plzzz❤️ u r awesome ❤️
We need step by step method to learn data science in simple step .
Please make data science project video
Wow. Your story is inspiring. Thanks a lot for sharing. I’m also learning data science now. Lots of love from Nigeria 🇳🇬
Thanks for watching. All the best on your data science journey.
Where are you learning data science in Nigeria?
don't waste your time learning data science. that will be a job ai will replace very soon
The term 'self taught' wudnt be entirely true in your case, right? You were working with Amazon and you had some of the best mentors there who guided you on how to go about with things. This would mean you still had people to teach you concepts around the subject. Also one of the biggest advantages you had was you were in the US already where most tech companies still welcome ppl from non tech backgrounds to apply for tech jobs. Most tech companies located in 'Third world' countries wont even bother to look at your resumes upon knowing you dont even hold a Bachelor's degree in the relevant subject.
the demands of the world of work are changing... the portfolio is more important than the degree itself.. it's our challenge how to create it...
🧂
Love your journey....even though you didn't specifically learn data science through an advanced degree, you did a couple of open data courses, and you learnt a lot on the Job.
NOTE:Just start somewhere and learn effectively on the job, then you can transition if you want to, and possibly get an advanced degree if you want to.
Definitely the case that your business strengths have helped you throughout your career. Nothing lost there!
What a journey, thanks for the useful tips and congratulations on your promotion 👏🏻
Thank you so much! It's been a long journey indeed.
Very Inspiring. Thank you. Please make a video on your past work experience’s, how did you prepare for the job & it would be great if you could throw some light on the work culture challenges you overcomed also related to your projects.
Very inspiring! Your content is one of the main reasons I started my (still small) Tech CZcams channel myself. Keep doing what you do!
Very motivating. I also have had a 6 year gap inbetween HS & undergrad, so this has been re-assuring. Could you give any advice on how you would change your path in order to get into DS in a quicker pace?
First, congratulations to you. It takes a lot of positive qualities to take a self-motivated, self-organized journey into a whole career. That said, I'm a neurologist. One of my interests is human brain variations. A wonderful aspect of life is diversity - different brain developments, different backgrounds, different interests. So, to pursue data analysis one has to have certain types of interests and certain desires from a career. Maybe you could make a video on what the day to day life of a data scientist is like, and who might be a person to fit this career path.
i came here to not to learn python coding . But your word is inspiring me . It tell me that i am too not from technical background but you inspire me that I can too do it . Thank you 🙏
By the way your story is so inspiring. Thank you for this video ☺☺
You are clearly a _Naturally_ smart & self-motivated person.
I found this very enlightening / educational.
People can almost always "Self Start" if they are motivated truly
& you are a great example of being "The Real Thing"
Thanks for sharing your story on this video, Sundas. Really insightful and appreciated!. Keep going
Wow. Your story is inspiring. Thanks a lot for sharing. I’m also learning data science now
I create excel tools and perform metric analysis using raw data sets for my department. In every job I've had so far, from retail to QC lab, I've found myself trying to solve problems with the tools I had, usually a messy data query and excel.
I think they're pretty basic excel skills I learned myself while independently trying to analyze and organize the data. All my projects are self driven and outside of my role/responsibilities, essentially delivering these metrics and tools for "free" because I find it fun to do.
I've recently considered moving into a data/informatics focused field, but I have no coding knowledge.
My current job pays decently well and it's hard to walk away from. I think for now I'll expand my skill set within my current role basically be the "excel" expert of whatever department I'm in while making connections to people within the company that are in roles I am interested in.
Maybe I'll try to also apply for mid level roles, it's just hard since I'm essentially entry level skilled, but don't want to give up my current mid to high tier salary (in my field at least).
Love this. Thanks for sharing your journey, Sundas ☺️.
You are an inspiration to a lot of us, thank you for sharing your amazing journey.
Great manager indeed, congratulations 🎊 👏
Awesome video very good insight on the different paths we can take
Video starts after 2:19
Thanks for sharing it with us. Really helpful tips. 😊😊 love from India 🇮🇳
I am currently in IT but working towards the data side of things. Thank you for sharing your journey.
This video is so helpful. I have been on the fence about taking a bootcamp to get into DS for the last year. I feel like I should’ve just took the chance at this point because now so much time has passed. I would love to hear your opinion about these boot camps because so many on Reddit and online post how you cannot find work unless you have a degree. But your video is making me feel more confident to take the plunge.
It’s a long time, I was waiting for your video
Great video as usual Sundas, Great Tips, Wish you all the best
Most of things you said are true but somehow aren't useful for some to look for advices. For example, retention rate is low that's mostly caused low efficient learning strategies and bad learning habits. you learn stuff one day and you get it, you have to schedule to review them until those knowledge were committed to the long-term memory. in terms of practical things, it'd be different from the learning and working for sure. But I still think it's style and way of working.
This was great...thank you🌺🌺🌺
Hello Mam, Finding a job after a break is really hard without any referral or any bootcamp. So how did you get your 1st job as a fresher?? Any help how to get into the industry without the help of referral as a fresher.
Plz make a video of your 8 year journey from first job to Microsoft
You work v hard huge fan of you great inspiration for everyone
Your journey is so fascinating my case is quite similar like you. And I am on the journey to learn data science thanks a lot for you from Pakistan 🇵🇰
Explained each part so wonderfully 👍🏻
Mam can you name few competitive platforms for data science/data analyst beginners
Would love to hear your inputs on how to finish and keep working on big lengthy projects, creative projects and personal projects.
Really inspiring & motivating mam🙌🙌🙌
Hello mam u r true inspiration for me... I'm also from non tech background really interested in Data science.
That's good to know! I hope the video was helpful.
Thank u so much for your help Mam, ❤️
It is awesome. really!!!! Bravo!
New subscriber here! Like your ds journey!
Excellent work
Thank you so much :)
great video
@Sundas Khalid I am just finishing my master's in tech and I have a Data Science internship but the companies I've applied prefer "people with more experience in industry". How can I stand out for a Data Science role with almost no experience?
Really Nice and Really Beautiful "How I Became a Self-Taught Data Scientist with Non-Tech Background " . Stay Connected!😍😍😍🤗🤗🤗
Inspiring. I am too self taught but lacking the guidance. Need help too
so beautifull discussion...
Please make data science project videos
You were a data scientist specialized on experimentation according to your linkedin. What other specializations are for data scientists?
Mam I wants to become data scientist I come to 11 class from india can you please guide me .
madam,which has more scope data scientist or management accountants?
Inspiring❤️
@Sundas Khalid wat to choose between power BI and Tableau, according to market needs now days
Honestly, in the biggest schema it doesn't matter which tool. One way to narrow down is look at your target role/company and learn tools based on their toolkit.
Please, share any website links or any collection of General Data Science projects for beginners if you have any. As a noob, I am not sure which one to pick for starting. If possible, make a video on that also.
I'd do a video on this. Thanks for the suggestion!
New to your channel and very inspiring!! But technically strictly speaking I wouldn't say you're really "non-tech" background. Traditionally the B school student/major is referring to more just business (accounting/ finance/ marketing..etc); if you've done any IT/ MIS/ SQL courses from school, even it's under b school, you did have your exposure already. I've met quite a few data scientists in person or listened to a lot of podcasts (one of my very favo is Me, Myself, and AI); the true "tech" background ppl are in fact minority. There are quite a lot Physics/ Applied Physics/ Applied Maths or even Engineering background turned DS out there. I do totally agree your message throughout a few videos though: the fundamental theory and basic is actually the most important, not the coding. There is no DS if there is no "Statistics", which is probably why you said it somewhere too a lot of the companies offer a job with DS title while the job content has nothing really to do with DS but really just about computer science/ data IT related. Also why not all CS background people can be a good DS, because it's really not just about cleaning data, ETL, DB or data engineering.
Business is the most relevant degree for DS in my view. You already take classes in technology as a business student including data analytics, MIS etc. Also there's a huge side of statistics in business. Specially those who specialize in finance, economics or MIS going into DS will be easy.
Great video
How tough is this course
Is INTP personality type is good for the data scientist jobs
can u share your biography
I launched 45 hours of python
Please help me how i learn data analytic
Mam , i am from non tech background and wanna learn data science . Could you please suggest me some of the online platforms from where i could do so .
Hi can you by chance post your resume you used to get your job?
Are HTML, CSS, and javascript required for Data Science?
Can you do a video on data science in healthcare
Any suggestions where to start data science?
One thing, MAGNA would be better than MANGA..
How did you managed the gap btw high school And experience? Was any question asked while hiring
I have questions how much time we need to be a data scientist?. Please reply dear.
Maam you are an inspiration 🙏
I need some of ur help.will you help me.?
Hi mam can you teach me coding. .please mam I cannot afford to learn from others , your teaching will be efficient and cheaper to me
great
Just subscribed ur channel. Just a simple question, are u from India???. Your first name seemed to be indian but last name from Arab. What was the whole thing???
Stop misleading that you have non-tech background.
Then what do I have. How about you tell me what I studied in school since you seem to know more
@@SundasKhalid I listened to your intro, and that clarifies it. Anyway best of luck
sorry for my curiosity..you work as a Data Analyst or a Data Scientist..I believe these are two different things..sounds similar but different..
Data analyst is more envolved with data itself, when you already have the numbers, the methods, or anything that you can to provide information without further research, so you use technical stuff such as excel, power bi, tableau, etc to present this data with nice design and analysis. Data scientist is a little deeper, you need a larger skillset of statistics, math, computer itself, because you will be using programming to solve your problems, the projects are bigger and they have a higher level of complexity (tools: python, jupyter notebook, matplotlib, pandas, sql, programming, etc) to build models of prediction, working with IA, NLP, computer vision, etc...you have more options in ds as well.
@@abz274 yes exactly my thoughts too..hence the question whether she is working as a Data Analyst or a Data Scientist..maybe in some organizations they are used interchangeably..
@@TheAnugupta I'm a data scientist at IBM and many clients don't have a clue about the difference. Many times I was asked to do stuff with excel (which I suck) and metrics of marketing stuff. I was like?? Why do you need me for exactly? "Aren't you a data scientist?" hahaha very common to happen.
@uranus to me, data engineering is more "technical". you get the data and you build an etl from scratch (you need to know about data architecture, big data, sql)...i totally get it what Sundas said about repetition, because it's basically the same what you do many times in many projects (very recommended for those who don't mind knowing about business), it's not so focused on the thinking of "what happened here", "why could be the reason of x thing happening", which i consider a data scientist role, the solution of problems where you can be creative about insights.
as for my career choice, i actually didn't have a clue about any of these (i was working previously with hotelary, totally non related). hahaha i didn't even know how to work with excel. i got an internship at ibm, where they alocated me in the fullstack role, but i hated, i like to think about stuff, connect the dots, programming is just the tool for it, but i don't find it particularly fun. so they made me take data courses, i felt it wasn't for me cause i've always have been terrible at math, but...in data things just started to make sense somehow, so i kept studying and now i'm working with AI and i became and specialist in machine learning. :) any questions, feel free to ask.
@@abz274 pls can we get to know each other better 🤗, an IBMer here😌
Non tech background…hmmm not really. You worked hard but all within the technology arena. Your title makes people think you were a history major 😂.
Hello sundas i am your friend salman from india ...we use to talk on vdo call via Facebook ...how are u dear ... I am very happy to see u 🤩
Are you Pakistani?
1st comment❤️ can i get a pin❤️
Thank you, the video was great. Do you read messages on insta?
Great video