I hv seen your videos frm last year to learn or to follow up to gain some knowledge. but I lost the path as you talk talk talk .. I don’t understand on what topic you are discussing abt sometimes ..
Very pragmatic discussion. I thank you for bringing Real life hindrances a self taught might face. However, what I missed in your video is that as you are vast experienced could you pleaze what the basics or the fundamentals that every beginner should learn in common irrespective of which data scientist post/ position s/he might choose in future? Can you name a program/ training that could help achieve the basics/ fundamentals? Perhaps I missed out your earlier Vidz where you focused on this issues. I would again request you.
For being self taught one has to be very disciplined and take challengings tats only way to self evaluate during self teaching... Develop small projects n scale them up
I'm a self-taught Data Analyst and have been working in the field for over 2 years now. Yes, self teaching is hard, but it also has its benefits. As she mentioned in the beginning even after doing the courses sometimes I'll still struggle with the code. Will have to Google a lot in the 1st 6 months. Slowly the googling reduced, pace increased and I can write cleaner code (don't write fancy codes, write easy to understand code which can also be debugged easily if required) eg. I use temp tables in SQL in place of sub-queries. Learning method :- 1. Reading is faster than watching Videos. (Because I tend to zone out while watching courses. 😅) 2. Solve Hackerrank problems, it'll give you confidence on the topic. (Even if you successfully solve the problem in a certain way, still look at other solutions and learn from it) 3. Do few Capstone projects on every new language or tool you learn. I did 2 in SQL, 2 in Python, 1 in Power BI and 1 in Tableau. LASTLY REMEMBER THAT IT WILL TAKE TIME, IT'S SUPPOSED TO TAKE TIME, YOU'LL GET BETTER AT IT SLOWLY. KEEP GRINDING. ALL THE BEST 😊
I aspire to be a data analyst but have been trying to get a job as a analyst have completed the data analytucs certification,m constant at Hacker rank challenges and kaggle yet i m not finding my opportunity.
@@poojachougala6039 Hi. It's understandable. It's getting harder to get into Data Science space nowadays, specially if you don't have experience. Try for Internships then try to convert it into a Full time offer. I did the same way. Hope it helps. :)
@@nancyihechu900 That is something that varies from person to person. But I personally don't think that the Techical skills (SQL , Python, Power BI, Tableau) requires more than 300-400 hrs of effort. So probably 2 hrs/day for 6 months should be enough to get you to a good level. All the Best. :)
Hi Sundas, great video. You've identified a lot of issues with self-teaching but haven't offered any solutions on how to avoid any pitfalls. As a data scientist, you shouldn't just identify problems but also provide solutions based on your experience.
I think she said you just go over the chapters and chapters to understand basic things before jumping into the actual coding. I am also learning a Data science. I have realized quite a few times, I jump into some libraries but I don’t exactly know what is the case study or what is the interpretation part. I think I should go ahead and understand the basic and basic things behind the each topics of data science. Good luck!!
I feel this video is like showing light to a complete beginner who is lost among the shadows of the numerous online data science courses. I have been trying to make my own curriculum to learn data science and I am keeping this video in my private playlist. Thank you very much.
I wish every developer watch this video, is so important learn the bases, and how you told, we see the hype thing and jump for it, but when the problem come strong, the bases is the first thing that we need. Awesome video!!! Sharing with my friends.
I'm a self-taught data scientist and focus on NLP and recommendataion. Most of my learning map will be buying a book or an overview curriculum of some specific topic like ML. But sometimes it's really hard to find a curriculum which has a nice balance between theory and coding. Now I usually read research papers to find what is useful to solve the problem I have. Still learning!
Another good example is all the PhD graduates worldwide are self-taught. At the same time they are pioneer in their field as well. Therefore, self-taught is possible and successful. Just give it a try, everyone can, I believe.
Hey @Sundas, Amazing explanation, been in this field for such a long time, and feels same about it, specially the last part where you precisely explained the difference between doing data science as a job and then going for an interview are not the same thing. I can clearly see the intention behind it and the way you have explained is completely amazing! Kudos to that !!!
I think practicing real problems gives the best insight, otherwise it can really get to a somehow dangerous point, where you think you know everything. Then you go to an interview, and when they give you the technical test you realise you cannot solve it!
Key concepts; 1. Lack of an Ideal Curriculum 2. Presence of tutorial trap 3. Lack of practical knowledge 4. Skipping of fundamentals 5. Inadequate preparation of interviews
I should have seen this video before. I think there's still time I have no resources so I am forced to be self-taught, therefore, I must plan as correctly as possible and fix the errors along the way TY \o/
Self taught data scientists are those who are trying hard to be data scientist by doing basic research on google etc. But if they enroll on decent and reputable online Data Science certification courses program, those are not considered "SELF TAUGHT" because the have the right curriculum and right foundation of knowledge. Hope this helps.
I am self teaching as well as enrolled in IIT-madras. The problem is that it's a slow proces and i want to learn at my own pace and IIT Madras is giving me a platform to test my knowledge and it will also provide a diploma/degree.
There are so many courses out there and so many different tools which can be used for one thing (which could be analysing,visualizing,cleaning).Please share a specific path about how to grab data science fundamentals and gain practical knowledge which helps in atleast getting shortlisted for not only interviews but internships also.What would you do step-by-step if you had to start over ??
Hi , is the Google data analytics certificate a best starting point for someone who wants to shift career into data analytics ? I mean to take the course and then build my entire path on it ( definitely beside practicing through self made projects ) ?
Hey Sundas ! This video is very useful and eye-opening. It'd be of real help if you can also tell where and how to get the practical knowledge. What resources and steps must be followed to gain the practical knowledge?
It's werid some of the stuff that is not sexy, is the stuff that is interesting to me lol. My problem is obtaining domain knowledge, knowing if i need a master's or not.
My biggest issue is that I am currently doing bioinformatics but I want to work in big pharma companies in research. But the roles are extremely competitive and hard to even get a reply back. I want to know how you dealt with getting your foot in.and how can I do the same.
MAM PLS REPLY 🙏🙏🙏🙏🙏 Mam i am first year engineering undergrad and want to be a DATA ANALYST. And i am preparing for it (self study) Are there jobs for freshers as a DATA ANALYST in INDIA and as well as ABROAD
Why don’t you find this info online? If you can’t research this information on your own then you lack basic research skills which are key to any analytics role!
Hi ma'am, i had done a data science certification and now most things are self taught. After watching your videos, i learned so much about the do's and dont's in self teaching.Thank you so much for you great videos. Could you please do a video of using API s for collecting data.
This video is confusing as hell, and the title is a clickbait. In a nutshell, there's a learning curve. But you can overcome it if you are passionate enough.
I don't agree at all. First, you are not a surgeon or machinist, the only thing you need for work is a computer. Second, your only argument is a lack of practice. But you can make your own practice projects, just find/scalp/generate data. If you need someone to give you a task and can't come yourself with something, you will be a bad professional. I did my PhD thesis in mechanical engineering 5 years ago and 90% of all useful and smart things I learned myself from books and articles. Other 10% I could had learned in 6 months without wasting 2 years for master. University degree gives you time (you spend your free time as you wish and not learning something else) and network. Self-teaching gives you flexibility. 1st is definitely good. 2nd is definitely good also.
Create A series of videos where you Demonstrate A project And Create A new Analysis project like Capstone project so we Will get a path how to Create project and what its process and how to demonstrate it and even give a presentation also what you found and teacch us how present
I am totally lost whether I am doing right or not.. non tech background and no mentor making me feel more nervous and future seems dark... Well I have 30000 hours till that time I will try or keep myself alive... It's good to quit if you feel magot in career.
most useful Channel 👍🔥🔥 i advice here ,i m currently studying mechanical engineering and i wanna do data science (i m sheep in maths) so should i go to university or go to bootcamp
I went down the Udemy tutorial trap for 3 years (because their courses go on sale all the time). Do I regret it? Not really. I have books full of notes and several GitHub repositories of code I can use as models and templates for my future projects. Now that I landed a job as a data scientist, though, I find myself with very limited time for those projects.
On one hand, where the video was very informative. However, one thing that I am struggling especially on this topic is what if someone wants to get a remote job? What if some one is from let's say the Indian subcontinent and they have no prior work experience but do possess the skills. How do they actually get an interview, let alone a job. I am a 3rd semester student of CS and I have been learning and working on data science projs for about a year now. Any useful advice would be appreciated?
i am from india if i do mba in data science or data analytics from germany can i become a data scientist ? its okay to me if i start my career with data analyst role ?
@@SundasKhalid my actually question is can i become a data scientist after mba in data science or data analytics i am doing bachelors in commerce in india
@@tushr1128 Yes you can become a Data Scientist by doing Masters in Data Science, the main courses will be Statistics, Machine Learning and Tools and Techniques with Python.
Hi hru Madam ! Previously i argued with you on data analyst and you proved me wrong hands up .can madam u guide me so confused what field we should choose data science or data analyst
Mam I am in 10 th actually I am very much Intrested in data science...can u pls guide which field should i choose after 10 th for best job opportunities?
My goodness,Linear regression can be solved by three methods,Analytical method,gradient descent method,and by maximum likelihood method.And you also need to check matrix is tall or fat.To do these tasks by hand for practice it may take extra time.But it is bad if you are not getting job straight after you BS degree,it hurts little bit more.You put some serious effort without even getting any pennies.
I dont think so MLE is the method to solve linear regrssion thts the one interpretation of cost function we use MSE for Linear regression...Please correct me if i am wrong. Thanks
@@SundasKhalid I get that, staying away from home country or US sitcoms can do this to people. But please choose one. Both accents sound good but switching kind of sways away listener's attention. It's just an advice, you may or may not take this seriously but please don't take it as an insult, your content is great.
Are you a self-taught? What are some of your learnings?
Just do one certification. Most of the things are self taught.
I hv seen your videos frm last year to learn or to follow up to gain some knowledge. but I lost the path as you talk talk talk .. I don’t understand on what topic you are discussing abt sometimes ..
Very pragmatic discussion. I thank you for bringing Real life hindrances a self taught might face. However, what I missed in your video is that as you are vast experienced could you pleaze what the basics or the fundamentals that every beginner should learn in common irrespective of which data scientist post/ position s/he might choose in future? Can you name a program/ training that could help achieve the basics/ fundamentals? Perhaps I missed out your earlier Vidz where you focused on this issues. I would again request you.
@@pretylooks5085 you need a tutor. Check Preply, for a data science tutor.
For being self taught one has to be very disciplined and take challengings tats only way to self evaluate during self teaching... Develop small projects n scale them up
I'm a self-taught Data Analyst and have been working in the field for over 2 years now.
Yes, self teaching is hard, but it also has its benefits.
As she mentioned in the beginning even after doing the courses sometimes I'll still struggle with the code. Will have to Google a lot in the 1st 6 months. Slowly the googling reduced, pace increased and I can write cleaner code (don't write fancy codes, write easy to understand code which can also be debugged easily if required) eg. I use temp tables in SQL in place of sub-queries.
Learning method :-
1. Reading is faster than watching Videos. (Because I tend to zone out while watching courses. 😅)
2. Solve Hackerrank problems, it'll give you confidence on the topic. (Even if you successfully solve the problem in a certain way, still look at other solutions and learn from it)
3. Do few Capstone projects on every new language or tool you learn. I did 2 in SQL, 2 in Python, 1 in Power BI and 1 in Tableau.
LASTLY REMEMBER THAT IT WILL TAKE TIME, IT'S SUPPOSED TO TAKE TIME, YOU'LL GET BETTER AT IT SLOWLY.
KEEP GRINDING.
ALL THE BEST 😊
I aspire to be a data analyst but have been trying to get a job as a analyst have completed the data analytucs certification,m constant at Hacker rank challenges and kaggle yet i m not finding my opportunity.
Thank you so much, please how many hours a day do you recommend we put in for studying
Hey, should a first year student go for the same course?
@@poojachougala6039 Hi.
It's understandable. It's getting harder to get into Data Science space nowadays, specially if you don't have experience.
Try for Internships then try to convert it into a Full time offer. I did the same way.
Hope it helps. :)
@@nancyihechu900 That is something that varies from person to person.
But I personally don't think that the Techical skills (SQL , Python, Power BI, Tableau) requires more than 300-400 hrs of effort.
So probably 2 hrs/day for 6 months should be enough to get you to a good level.
All the Best. :)
Hi Sundas, great video. You've identified a lot of issues with self-teaching but haven't offered any solutions on how to avoid any pitfalls. As a data scientist, you shouldn't just identify problems but also provide solutions based on your experience.
Exactly
yes
I think she said you just go over the chapters and chapters to understand basic things before jumping into the actual coding. I am also learning a Data science. I have realized quite a few times, I jump into some libraries but I don’t exactly know what is the case study or what is the interpretation part. I think I should go ahead and understand the basic and basic things behind the each topics of data science. Good luck!!
If she will tell you everything then what you gonna do?
Check her video here czcams.com/video/65yXoFc5stI/video.html
I feel this video is like showing light to a complete beginner who is lost among the shadows of the numerous online data science courses. I have been trying to make my own curriculum to learn data science and I am keeping this video in my private playlist. Thank you very much.
That’s awesome! I’m so glad it’s helpful
I wish every developer watch this video, is so important learn the bases, and how you told, we see the hype thing and jump for it, but when the problem come strong, the bases is the first thing that we need. Awesome video!!! Sharing with my friends.
I feel blessed having watched this video.
You gave words to my all experience.
Thanks a lot Sundas
I'm a self-taught data scientist and focus on NLP and recommendataion.
Most of my learning map will be buying a book or an overview curriculum of some specific topic like ML. But sometimes it's really hard to find a curriculum which has a nice balance between theory and coding. Now I usually read research papers to find what is useful to solve the problem I have. Still learning!
Very good. Lot off Worth in yours Guidelines.
Another good example is all the PhD graduates worldwide are self-taught. At the same time they are pioneer in their field as well. Therefore, self-taught is possible and successful. Just give it a try, everyone can, I believe.
Hey @Sundas,
Amazing explanation, been in this field for such a long time, and feels same about it, specially the last part where you precisely explained the difference between doing data science as a job and then going for an interview are not the same thing. I can clearly see the intention behind it and the way you have explained is completely amazing! Kudos to that !!!
Yeah, It's the same when I have done with my self taught and jump into a real life problem it's like I forget everything
I think practicing real problems gives the best insight, otherwise it can really get to a somehow dangerous point, where you think you know everything. Then you go to an interview, and when they give you the technical test you realise you cannot solve it!
Key concepts;
1. Lack of an Ideal Curriculum
2. Presence of tutorial trap
3. Lack of practical knowledge
4. Skipping of fundamentals
5. Inadequate preparation of interviews
I should have seen this video before. I think there's still time
I have no resources so I am forced to be self-taught, therefore, I must plan as correctly as possible and fix the errors along the way
TY \o/
Self taught data scientists are those who are trying hard to be data scientist by doing basic research on google etc. But if they enroll on decent and reputable online Data Science certification courses program, those are not considered "SELF TAUGHT" because the have the right curriculum and right foundation of knowledge. Hope this helps.
Thank you very much for the guidence.
Best learning advice I did watch today u can appli these to all it field during learning thank you sounds for your advice.
I am self teaching as well as enrolled in IIT-madras. The problem is that it's a slow proces and i want to learn at my own pace and IIT Madras is giving me a platform to test my knowledge and it will also provide a diploma/degree.
Hi, can we connect on LinkedIn??
Bro!!! Can we connect via linkedin?
I heared your success story really inspired good luck for future
Mam please make detail skills need for data science to do practicle with sources.
I really like ur lecture 🙏👍.
There are so many courses out there and so many different tools which can be used for one thing (which could be analysing,visualizing,cleaning).Please share a specific path about how to grab data science fundamentals and gain practical knowledge which helps in atleast getting shortlisted for not only interviews but internships also.What would you do step-by-step if you had to start over ??
Hi , is the Google data analytics certificate a best starting point for someone who wants to shift career into data analytics ? I mean to take the course and then build my entire path on it ( definitely beside practicing through self made projects ) ?
She has a video on it.
It's taught in R instead of python.
Hey Sundas ! This video is very useful and eye-opening. It'd be of real help if you can also tell where and how to get the practical knowledge. What resources and steps must be followed to gain the practical knowledge?
Same question
How can we gain practical knowledge before jumping into search for a job?
Apply for paid internships
Do projects on open source datasets, use kaggle, cleverly.
It's werid some of the stuff that is not sexy, is the stuff that is interesting to me lol. My problem is obtaining domain knowledge, knowing if i need a master's or not.
Insightful!
Hey Sundas, I have learned Python basics. What should I learn next. DSA or SQL or Numpy? Which one first among these 3?
Thank you Deedee ❤️❤️❤️
Happy Holi 🖌️🎨🌈
yes, exactly same problem i am facing right now, m not from any technical background and still struggling with stats...
My biggest issue is that I am currently doing bioinformatics but I want to work in big pharma companies in research. But the roles are extremely competitive and hard to even get a reply back. I want to know how you dealt with getting your foot in.and how can I do the same.
MAM PLS REPLY 🙏🙏🙏🙏🙏
Mam i am first year engineering undergrad and want to be a DATA ANALYST.
And i am preparing for it (self study)
Are there jobs for freshers as a DATA ANALYST in INDIA and as well as ABROAD
Why don’t you find this info online? If you can’t research this information on your own then you lack basic research skills which are key to any analytics role!
Thank you Sundas
Can you please make road map video of Data analytics
Yeah it would be good if you make one
Hi ma'am, i had done a data science certification and now most things are self taught. After watching your videos, i learned so much about the do's and dont's in self teaching.Thank you so much for you great videos. Could you please do a video of using API s for collecting data.
I can't figure what I enjoyed more in this video, the actual discussion or that peach puffy blouse.
The puffy sweater wins any day 😅
This video is confusing as hell, and the title is a clickbait.
In a nutshell, there's a learning curve. But you can overcome it if you are passionate enough.
She's right first learn statistics then proceed
I don't agree at all. First, you are not a surgeon or machinist, the only thing you need for work is a computer. Second, your only argument is a lack of practice. But you can make your own practice projects, just find/scalp/generate data. If you need someone to give you a task and can't come yourself with something, you will be a bad professional.
I did my PhD thesis in mechanical engineering 5 years ago and 90% of all useful and smart things I learned myself from books and articles. Other 10% I could had learned in 6 months without wasting 2 years for master.
University degree gives you time (you spend your free time as you wish and not learning something else) and network. Self-teaching gives you flexibility.
1st is definitely good. 2nd is definitely good also.
I learned excel, and when I became a financial analyst... Oh boy. It was from the ground up! I was lucky that my employer walked with me!
Hi Sundas, Please make a video about interview prep as a Data Scientist
Thank you Mam, I am a young student who aspires to be a data scientist thank you for putting out this side too
Create A series of videos where you Demonstrate A project
And Create A new Analysis project like Capstone project so we Will get a path how to Create project and what its process and how to demonstrate it and even give a presentation also what you found and teacch us how present
I am totally lost whether I am doing right or not.. non tech background and no mentor making me feel more nervous and future seems dark... Well I have 30000 hours till that time I will try or keep myself alive... It's good to quit if you feel magot in career.
most useful Channel 👍🔥🔥
i advice here ,i m currently studying mechanical engineering and i wanna do data science (i m sheep in maths) so should i go to university or go to bootcamp
I went down the Udemy tutorial trap for 3 years (because their courses go on sale all the time). Do I regret it? Not really. I have books full of notes and several GitHub repositories of code I can use as models and templates for my future projects. Now that I landed a job as a data scientist, though, I find myself with very limited time for those projects.
Mam could you please tell that which MASTERS DEGREE PROGRAM CAN help me to become data scientist.. as I am pursuing bsc.MATHEMATICS. Right now.
On one hand, where the video was very informative. However, one thing that I am struggling especially on this topic is what if someone wants to get a remote job? What if some one is from let's say the Indian subcontinent and they have no prior work experience but do possess the skills. How do they actually get an interview, let alone a job. I am a 3rd semester student of CS and I have been learning and working on data science projs for about a year now. Any useful advice would be appreciated?
Indeed, this happens !!!
Thank You So Much...
what level of DSA Questions we can Expect in DS Interview process
mam you helped me a lot thank you
Wow!
I think learning from books instead of videos.
This one for everyone
Please make a video on preparations for interview in data science
Great suggestion! I’m actually posting that video this Monday. It’s already scheduled :)
Hey ...I am planning to do data scientist course from great learning ,is it worth doing course from great learning????
Aoa sundas I have a question can index and match superseed the vlookup, plz reply regarding
It was useful.
Do you guys think that getting a Masters in Data Science is necessary to get into Data Science?
Of course not.
i am from india if i do mba in data science or data analytics from germany can i become a data scientist ? its okay to me if i start my career with data analyst role ?
Great question. I actually recorded a video on this topic on transitioning from data analyst to data scientist. Stay tuned!
@@SundasKhalid my actually question is can i become a data scientist after mba in data science or data analytics i am doing bachelors in commerce in india
@@tushr1128 Yes you can become a Data Scientist by doing Masters in Data Science, the main courses will be Statistics, Machine Learning and Tools and Techniques with Python.
@@MrUmar1204 thankyou btw what you doing now are you in data science field
@@tushr1128 I did Bachelor's in Computer Science and now I am recently enrolled in MS Data Science.
@Sundus, A quiet career directed video.
Keep it up
Am a b.com can i self learn data science course and try a job of data science field? Do companies accept such self learnt candidate?
Hi hru Madam ! Previously i argued with you on data analyst and you proved me wrong hands up .can madam u guide me so confused what field we should choose data science or data analyst
Can you share questions that are asked in interviews ?
It's true, because of pandemic I took online course and started to study but when I got problems their is no one to guide.
Is data scientist a good job or not Mam..In terms of work load and leaves and happiness ...
You need high amount of passion and data driven probelms more than just coding
@@karanshingde is there money?
Just asking
@Berenice G go on good and check money, longetivity and scope
@@karanshingde hey is it possible for me to do my masters in data science after my masters in physics?
Mam I am in 10 th actually I am very much Intrested in data science...can u pls guide which field should i choose after 10 th for best job opportunities?
Btech CS if not then Bsc CS.
Should I take science PCM ? For 11 and 12 ?
Best example of click bait 😂 or miss interpretation of "self taught"
Thanks mam
brilliant
She speaks really nice but there is a pinch of desi accent in her voice XD
TUTORIAL TRAPS HAPPENED A LOT !!
just another click bait ..
Everyone said that data scientists do not have the best careers compared to engineers.do you agree with mam?
my friend is a maths genius, he is teaching me maths for ML and rest i can do by myself.
any everything is self taught.
Is it strictly necessary to know NLP and Computer Vision to get a job in Data science?
Data Analyst
Aunt may
clickbait title
My goodness,Linear regression can be solved by three methods,Analytical method,gradient descent method,and by maximum likelihood method.And you also need to check matrix is tall or fat.To do these tasks by hand for practice it may take extra time.But it is bad if you are not getting job straight after you BS degree,it hurts little bit more.You put some serious effort without even getting any pennies.
I dont think so MLE is the method to solve linear regrssion thts the one interpretation of cost function we use MSE for Linear regression...Please correct me if i am wrong.
Thanks
Mam I really like the content but hearing you switch between American and Indian accent kind of feels wierd.
I am not doing it on purpose. I’m not sure what you want me to do about my accent
@@SundasKhalid I get that, staying away from home country or US sitcoms can do this to people. But please choose one. Both accents sound good but switching kind of sways away listener's attention.
It's just an advice, you may or may not take this seriously but please don't take it as an insult, your content is great.
@@SundasKhalid Another great content! I really appreciate your efforts👏.