Hey Sundas I hope you're doing alright. I wanted to refer to the point that you brought up "You don't need to become a data analyst before becoming a data scientist". I know we don't necessarily NEED TO become a data analyst to become a data scientist but since the marathon for the junior data scientist job is much more competitive; and there are much less number of entry-level data scientist jobs as compared to data analytics, isn't data analyst a good entry level job to get into the data science world? I would love to hear your remarks on this take. :))
Sundas, the good thing about your vids is the sense of detecting “fooling yourself tendencies”- i loved the last part about tutorials trap. Your vids are so much compatible with the way everyone starts to compliment himself of fooling himself into figuring it all, seriously a big thank you. I haven’t yet watched a lot of your vids about Data science/ analysis career path but I hope to get to know about road maps from you.
For Data Science enthusiasts, this is one of the best reality check videos to ensure you take care of yourself while learning and becoming a Data Scientist.
Please explain me what is data science and. I am. From. Bba background no idea of. Coding i don't know how to operate computer I don't know what. To. Do
I'm not really sure if I can be successful in this career because I've never done any programming before. In the past 12 years, all I've done with my computer is play games. But now I realize that I need to start earning money.
@@anuragsinghakash are u a data scientist? May u solve my queries ? I am a creative person and I heard that in this field data is messy and you have to correct it What is the daily working timing ? Is company give holiday?
Mistakes 1) starting with coding 2) becoming a data analyst before data scientist 3) believe that data scientist as a job title is the only available role in the field 4) moving backward without a roadmap 5) searching for jobs before practicing 6) avoiding generative AI 7) moving beyond regression 8) Math is important but not really 9) falling into tutorial trap (watching courses without applying on projects and practicing)
THANK YOU SO MUCH FOR AMAZING GUIDANCE! I REALLY ADMIRE YOUR WAY OF EXPLAINING WHEN YOU REPEAT THINGS FOR EMPHASIS AND SUMMARISING, THAT'S A VERY PRO MOVE! THANKS A LOT!
1. data science = statistics + macchine learning, coding is just a tool 2. you can learn coding through data science 3. job roles: MACHINE LEARNING ENGINEER AI ENGINEER DATA ANALYST DATA ENGINEER AI Product Manager 4.3 areas of data science: CODING BEHAVIORAL QUESTIONS STATISTICS AND MACHINE LEARNING FUNDAMENTALS 5. work from the back: find the dream job first, then stalk linkedin, build projects
Being a data scientist myself, I can see the traditional role evolving the last year. And what I say depends a lot on the company you work for too. You need to have in depth knowledge in ML and maths (and it’s not just statistics, which is still top priority, but also linear algebra, a bit of geometry etc) and unfortunately you still need to do a lot of coding. Being a good programmer gives you super power to learn and implement anything old and new in ML with greater ease. Now, if you’re into a research role, you might just need to code experiments. And things might be different in a big company vs a start up. But I think the trend right now is having in depth knowledge in ML/maths along with really good coding skills.
Iam just completed class 12th Now iam confused to choose BE in cse or specialization like cse in AIML or cse in data science , Can you give any suggestions?
@athirab6183 Is it possible to get a job as a data scientist if you have a long career gap, n you are pursuing MS in Data science from a reputed University to enter a corporate? Or should I first apply for a data analysts role first then switch to data science Please guide me 🙏 Thank you in advance
This video is great and practical. You're a real data scientist who has been working at tech companies for many years. I'm glad you share the real experience. Keep up the great work! Thanks!
Have been a data analyst for 5+ years and always had aspirations to transition to data science but was always intimidated by the roadmap as it pertains to coding since I have minimal knowledge. I think I’m ready to take the step and this video is my launching point 🙏🏼🤞🏼
I can honestly say, there is no lie in this video. You literally shared all the traps that I was going to fall into (if I didn't watch this video). Thank you so much for warning us, the emerging data scientists. Biggest Takeaway from you - Take Action instead of watching others become data scientists!
Thank you for this realistic and meaningful video! I’m trying to decide between a data science masters and a data analytics masters. A lot of videos are overproduced, lack substance, and performative (trying to be a comedy skit for no reason) and don’t really provide a discerning view. Really appreciate your advice here!
I am diving in learning data science because i want to be an academic in the genetics field. I initially intended to do only wet work in a lab but the more i delve into data science the more i want to have this knowledge so i have more plasticity in my career. Unfortunately im coming from a 100% biology/chemistry background and zero informatics so its being tough, i hope i can be decent at it after a few years.
I’m doing the exact same thing. I studied biology and did my masters in biotechnology, no coding involved in those two, but I choose a master thesis which was very bioinformatics heavy. I now work as a bioinformatician for two years and now am trying to build a roadmap to learning data science so I can up my analyses I already work on. So if you are new in the field try doing some basic tutorials on NGS data to see if you like it and then look into some heavier data science stuff.
Thanks for sharing. I have a strong background in applied math, statistics and theoretical physics so that I had with me from start and built with lots of machince learning and deep learning. For that reason I might be biased towards learning to code. But I think that maybe you might need to know both skills at the start and build in parallel. For instance if you know computer science it might help you to desing algorithms when it comes to computing space and time. One nice thing with coding is that you can test machine learning algorithms from start and see the messiness of working with data. Tank you!
There's lot of theory...and when I say a lot I mean A LOT. In my country we're very used to study a lot of theory in any university field (and the issue is that it is usually too little practice) but in the case of D.Science it's very useful. Too many people on YT treat D.Science just like it's all about running some ML algorithms using R or Python... As a car mechanic knows how to use many tools, knowing many tools doesn't make you a mechanic 😉 The "Tutorial" chapter made me thing that in any subfield of D.Science there's smooth activities and difficult ones: tutorial are usually about "how to" concerning coding....but, you know what's one of the most time-wasting activity you have to be used to while coding (for anything) debugging, debugging, debugging and debugging. As designing algorithms (of any kind) can be challenging, you don't how much time you could waste if you lack the right mindset and calm to be used to "apparently ununderstandable" reasons that stop your projects.
make a video on different career paths in data science. Like you mentioned ai product manager and such, what others are there? what do these jobs do & and what skills are required for those roles.
Well yea. You’d want to learn the math first and then the tools for solving the problems. Doesn’t make much sense to learn tools without something to apply it to.
randomly this video popped in my recommendation list. I got my first job through a DS course I did. What nobody tells anybody is a core DS role in any huge scale org is not a dev job but more on the operations vertical in any MNC. I studied DS and ended working as a Splunk Admin and dev for 5 years and now working as a SSE for dynatrace on the observability domain. DS is just an umbrella term and there are so many job roles and responsibilities that you'll end up working as something else in the long run and that somehow worked for me as well lol...
@@Rinsha17 technically speaking you don't need any degree to be a data analyst because again its more about operations level where you will be making excel files on specific data and then onboard them into power bi or tableau and make beautiful dashboards for stake holders. You would need a bachelors degree tbh and the ones I know usually have a BE or a BTech degree in india.
@@JarlinJamesNDK13 Okay is it good to take BA after doing Btech because I personally don’t know much about business or it too much I mean not that necessary?
That was so helpful, thank you! 👍 I am near the end of a DS post grad course right now and I really enjoy it and I get what you are saying Re coding, and re tutorials, and doing your own projects etc It takes time to build confidence, and the best tutorials are those where you can do things yourself in parallel 👍😉
Well I am just going to finish my 12 in india PCM in india and stormed through various jobs and it picked my interest.So my maths is 80% strong.I want to work in a company and reach a okay position and learn business stuff and start up a company Please guide me and what to do
Thankyou for showing me a reliable path I will follow you and do things that you say sis and I actually watched this video like 3 times and i subscribed
Amazin advice! I agree! Im a Sr. Data analyst. I know sql and python but not a data scientist ready yet. I need to study more xD Please make more videos on how to get the first role as Data scientist.
so as a data anlyst its more about knowing how to code and program and do analytics. The difference between data scientist and data analyst is not having to know much math?
My background is in data and AI. I'd like to specialize in data science, but I'm wondering if it wouldn't be better to do data engineering first. What are your thoughts on this ?
Hi Sundas, Thank you for creating interesting video all the time. My question is how would the so-called “Customer Insights” role be positioned relative to data scientist or data analyst etc in your role classification world? Just curious to know what you’d think.
*Hi Sundas. Glad to see the notification. I enjoy the video and hopefully it will be helpful to me. Thank you for sharing about 10 learning mistakes that we data scientist must avoid. Keep great topic up! 💻🥪🍵*
About not being a data analyst before data scientist: no is hiring young data scientist / junior data scientist. I have a lot of data scientist and ml coursework and some experience and I haven’t heard a single phone call in two years of applying :-(
don't agree with 2 and may be 1. Majority of roles titled Data Scientist roles are analytics + statistics roles. So, you need to be good in analytics to work in these roles.
I saw your first video 2 years ago and decided to learn Data Science along with my 9 to 5 job. I got 3 to 4 offers but i want to work as a remote or part time Data Scientist. I don't know where to practice my skills and work in the evening shift or remote job.... Still going slowly but....
im basically a software engineer, but undergraduate, i want to become a data scientist, i have a idea to do a bachlor degree in data science, waht is the good sources for self study?
I am a final-year student pursuing information technology at a Tier-3 college. My aim is to be a data scientist. After watching so many roadmap videos, I found yours explaining the core skills required. Python wasn't one of my subjects, and I didn't have anyone to guide me in learning coding languages apart from my syllabus. I am going to pursue my master's degree abroad; the class starts in the month of July. I am still lacking confidence in what to learn. Will I be able to stand out in the crowd? I request experts as well as the creator to help me learn the appropriate skills that are required to be learned before the class starts so that I can cope and also learn and be confident. Please comment.
Well sir I don't have any answers for you but I have a question.. I'm from India, just passed 12th standard and now going for my 1 St yr in college and I need a guidance on whether I persue Bsc(statistics) in Data Science or to go for the IT and then Data science..?? I will appreciate your explanation sir..
@@chiragprajapathi3442 If you are very sure that you want to work in data science field roles then take BSc Statistics and then do a master's in data science. (again, it depends on the curriculum) . If your course covers all aspects of data sci then please go for it else if it has a strong emphasis on stats only then do a master's degree in data science or any course that would cover them all, work on projects, and build a strong profile.
I don't have data science or computer science background. Can I still get a job as data scientist? I saw many companies put related degree as one of a requirement...
Ok first of all thank you for your video and all the information that you give us and the second thing that this is the first time that I felt that I didn't wasted my even once again while watching this video because whenever I watch other TH-cam videos I feel like I am wasting my time but in this video every second was about information thank you so much❤
thank you clarifying about data analytics and data scientist roles clearly Sundas Khilid.. I have learned data science i have learned ML.. and could you please explain what is data engineer role ?
Hello Mam, I hope you are doing good! I need your guidance in choosing my career. Actually, I am an international student at Deakin University Melbourne Australia. I am doing a bachelor of computer science here majoring in data science. I don't have a previous maths background as I did my 11th and 12th in Commerce. So I wanted to that what kind of maths is required to become or step into the field of data science. I am following your TH-cam channel and you posted the video for the same topic. But then I also I am bit confused. So can you please guide me with this.
...I hope you do respond to career questions: I am currently in Graphic Design. But I would like to implement ML in Graphic design. Especially on repetitive tasks. I nave a hunch ML can be implemented in Graphic Design. Your advice is greatly sought. And yes, I have watched a lot of videos too. And I am just not sure which course to pay for.
Hey Sundas ! Quick Question ? Not sure what you meant by looking at the Job Description for someone who works at Meta ? Can you please be a bit more clear. Thanks.
I'm 44 and want to switch from finance to data science, as a first step I think of getting a master degree in data science...do you think there is still place for people like me?
Dear Sundas I have been watching you for a long time, I research a lot and now decided to become a data scientist. But I don't have a tech background so is that suitable for me and Do I have to get a degree in it? By the way enjoy your videos.
Hey! I am thinking about getting into this field as I enjoy learning. But the problem is, that I want to secure a job that won't "demand" continuous learning at a higher rate. Will it be a bad decision for me to get into the data field?
Are Data Structure Leetcode questions asked in Coding(Python) for data Science roles? Or should we focus only on data manipulation i.e. numpy, pandas etc.
Well I am fit to ans this que since I myself work as a Data Analyst. Data structures are not very relevant for fresher level jobs but some companies do put up a machine round of DSA to cut competition. But if you are a beginner...I would suggest you to focus mainly on numpy, pandas and matplotlib.
Hi Sundas, I can see you didn't replied to most comments still asking. I work as Business Analyst in software firm & looking for opportunity with Google. Do you have any suggestions in it.
Already am in my final year in a degree of statistics. Am interested in field data science They thought us R as statistical software. I also took a short certificate on advanced excel, spss and stata. Currently am taking python for data analysis from coursera also I do watch different TH-cam videos. Sometimes I learnt many things and I don't when and we're to apply😂 Plz any advice
I generally follow a roadmap on a project leveraging generative ai. I dont want the whole project to be done of course but I mostly use its codes while the funcitonality of the project is set on my brain and only I know the steps. do you think this is harmful?
My bachelor's degree is in Statistics. So, I am basically a statistician. I wonder what is the difference between a statistician and a data scientist. Because I am on the point of shifting my career (Only did reporting so far) but not sure if I should go with data science, data analysis or statistics.... I am aware it should be based on my interests but advice would be appreciated as well :) Thank you for the video!
Thanks for watching! What else would you add to the list? 👀
Can someone pursue data analytics as an UG degree in colleges ?
Hey Sundas I hope you're doing alright. I wanted to refer to the point that you brought up "You don't need to become a data analyst before becoming a data scientist". I know we don't necessarily NEED TO become a data analyst to become a data scientist but since the marathon for the junior data scientist job is much more competitive; and there are much less number of entry-level data scientist jobs as compared to data analytics, isn't data analyst a good entry level job to get into the data science world?
I would love to hear your remarks on this take. :))
Can you please elaborate various roles under data science and how to study on one of them particularly?
Sundas, the good thing about your vids is the sense of detecting “fooling yourself tendencies”- i loved the last part about tutorials trap. Your vids are so much compatible with the way everyone starts to compliment himself of fooling himself into figuring it all, seriously a big thank you. I haven’t yet watched a lot of your vids about Data science/ analysis career path but I hope to get to know about road maps from you.
Amazing video
For Data Science enthusiasts, this is one of the best reality check videos to ensure you take care of yourself while learning and becoming a Data Scientist.
Please explain me what is data science and. I am. From. Bba background no idea of. Coding i don't know how to operate computer I don't know what. To. Do
I just graduated from. Clg I am. Very. Confused about. Master.
I'm not really sure if I can be successful in this career because I've never done any programming before. In the past 12 years, all I've done with my computer is play games. But now I realize that I need to start earning money.
Its so painful man😅 I am experiencing that while working as a data scientist.. expected to do everything...like a magician 😄
@@anuragsinghakash are u a data scientist? May u solve my queries ?
I am a creative person and I heard that in this field data is messy and you have to correct it
What is the daily working timing ?
Is company give holiday?
Mistakes
1) starting with coding
2) becoming a data analyst before data scientist
3) believe that data scientist as a job title is the only available role in the field
4) moving backward without a roadmap
5) searching for jobs before practicing
6) avoiding generative AI
7) moving beyond regression
8) Math is important but not really
9) falling into tutorial trap (watching courses without applying on projects and practicing)
can you give a roadmap
thanks
@@rxynmp4 check out Video from code basics
That 2 nd one thats really true ??
Where is 10?)
THANK YOU SO MUCH FOR AMAZING GUIDANCE! I REALLY ADMIRE YOUR WAY OF EXPLAINING WHEN YOU REPEAT THINGS FOR EMPHASIS AND SUMMARISING, THAT'S A VERY PRO MOVE! THANKS A LOT!
You helped me get over my fear of coding. The way you speak enthusiastically about it 😅
1. data science = statistics + macchine learning, coding is just a tool
2. you can learn coding through data science
3. job roles: MACHINE LEARNING ENGINEER
AI ENGINEER
DATA ANALYST
DATA ENGINEER
AI Product Manager
4.3 areas of data science:
CODING
BEHAVIORAL QUESTIONS
STATISTICS AND MACHINE
LEARNING FUNDAMENTALS
5. work from the back: find the dream job first, then stalk linkedin, build projects
Being a data scientist myself, I can see the traditional role evolving the last year. And what I say depends a lot on the company you work for too. You need to have in depth knowledge in ML and maths (and it’s not just statistics, which is still top priority, but also linear algebra, a bit of geometry etc) and unfortunately you still need to do a lot of coding. Being a good programmer gives you super power to learn and implement anything old and new in ML with greater ease. Now, if you’re into a research role, you might just need to code experiments. And things might be different in a big company vs a start up. But I think the trend right now is having in depth knowledge in ML/maths along with really good coding skills.
Iam just completed class 12th
Now iam confused to choose BE in cse or specialization like cse in AIML or cse in data science , Can you give any suggestions?
How would you suggest learning these math skills and machine learning skills?
@athirab6183
Is it possible to get a job as a data scientist if you have a long career gap, n you are pursuing MS in Data science from a reputed University to enter a corporate?
Or should I first apply for a data analysts role first then switch to data science
Please guide me 🙏
Thank you in advance
This video is great and practical. You're a real data scientist who has been working at tech companies for many years. I'm glad you share the real experience. Keep up the great work! Thanks!
Have been a data analyst for 5+ years and always had aspirations to transition to data science but was always intimidated by the roadmap as it pertains to coding since I have minimal knowledge. I think I’m ready to take the step and this video is my launching point 🙏🏼🤞🏼
I can honestly say, there is no lie in this video. You literally shared all the traps that I was going to fall into (if I didn't watch this video). Thank you so much for warning us, the emerging data scientists. Biggest Takeaway from you - Take Action instead of watching others become data scientists!
Thank you for this realistic and meaningful video! I’m trying to decide between a data science masters and a data analytics masters. A lot of videos are overproduced, lack substance, and performative (trying to be a comedy skit for no reason) and don’t really provide a discerning view. Really appreciate your advice here!
yes, it's so easy to lose the skillsets. which is why employers prefer employed folks.
I am diving in learning data science because i want to be an academic in the genetics field. I initially intended to do only wet work in a lab but the more i delve into data science the more i want to have this knowledge so i have more plasticity in my career. Unfortunately im coming from a 100% biology/chemistry background and zero informatics so its being tough, i hope i can be decent at it after a few years.
I’m doing the exact same thing. I studied biology and did my masters in biotechnology, no coding involved in those two, but I choose a master thesis which was very bioinformatics heavy. I now work as a bioinformatician for two years and now am trying to build a roadmap to learning data science so I can up my analyses I already work on. So if you are new in the field try doing some basic tutorials on NGS data to see if you like it and then look into some heavier data science stuff.
Thanks for sharing. I have a strong background in applied math, statistics and theoretical physics so that I had with me from start and built with lots of machince learning and deep learning. For that reason I might be biased towards learning to code. But I think that maybe you might need to know both skills at the start and build in parallel. For instance if you know computer science it might help you to desing algorithms when it comes to computing space and time. One nice thing with coding is that you can test machine learning algorithms from start and see the messiness of working with data. Tank you!
There's lot of theory...and when I say a lot I mean A LOT.
In my country we're very used to study a lot of theory in any university field (and the issue is that it is usually too little practice) but in the case of D.Science it's very useful.
Too many people on YT treat D.Science just like it's all about running some ML algorithms using R or Python...
As a car mechanic knows how to use many tools, knowing many tools doesn't make you a mechanic 😉
The "Tutorial" chapter made me thing that in any subfield of D.Science there's smooth activities and difficult ones: tutorial are usually about "how to" concerning coding....but, you know what's one of the most time-wasting activity you have to be used to while coding (for anything) debugging, debugging, debugging and debugging. As designing algorithms (of any kind) can be challenging, you don't how much time you could waste if you lack the right mindset and calm to be used to "apparently ununderstandable" reasons that stop your projects.
Maths - Statics & probability
Machine learning
Programming
make a video on different career paths in data science. Like you mentioned ai product manager and such, what others are there? what do these jobs do & and what skills are required for those roles.
In the courses I’ve taken we learned probability and statistics before python. I’d like to hear more from you!
Well yea. You’d want to learn the math first and then the tools for solving the problems. Doesn’t make much sense to learn tools without something to apply it to.
I started with coding just for the reason you mentioned: it was completely new to me
I felt super called out by the tutorial trap tip haha! I'm going to challenge myself to build a few projects on Python before the end of this year!
randomly this video popped in my recommendation list. I got my first job through a DS course I did. What nobody tells anybody is a core DS role in any huge scale org is not a dev job but more on the operations vertical in any MNC. I studied DS and ended working as a Splunk Admin and dev for 5 years and now working as a SSE for dynatrace on the observability domain. DS is just an umbrella term and there are so many job roles and responsibilities that you'll end up working as something else in the long run and that somehow worked for me as well lol...
Hey what degree should I take if I want to be a data analyst
@@Rinsha17 technically speaking you don't need any degree to be a data analyst because again its more about operations level where you will be making excel files on specific data and then onboard them into power bi or tableau and make beautiful dashboards for stake holders. You would need a bachelors degree tbh and the ones I know usually have a BE or a BTech degree in india.
@@JarlinJamesNDK13 Okay is it good to take BA after doing Btech because I personally don’t know much about business or it too much I mean not that necessary?
@@Rinsha17 BA ? business analyst ?
Thanks for the wonderful tips which is definitely an eye opener for people who are aspiring to become data scientists.
Really great video--subscribed! Thank you for making this path so much clearer.
Hi Sundas,
Congratulations for presenting this useful video.
The suggestions are practical based on experience.
That was quite informative and enjoyable. I already work in the field, and this is the first time I have encountered your site. New subscriber!
That was so helpful, thank you! 👍 I am near the end of a DS post grad course right now and I really enjoy it and I get what you are saying Re coding, and re tutorials, and doing your own projects etc It takes time to build confidence, and the best tutorials are those where you can do things yourself in parallel 👍😉
Well I am just going to finish my 12 in india PCM in india and stormed through various jobs and it picked my interest.So my maths is 80% strong.I want to work in a company and reach a okay position and learn business stuff and start up a company
Please guide me and what to do
Thankyou for showing me a reliable path I will follow you and do things that you say sis and I actually watched this video like 3 times and i subscribed
Amazin advice! I agree! Im a Sr. Data analyst. I know sql and python but not a data scientist ready yet. I need to study more xD Please make more videos on how to get the first role as Data scientist.
so as a data anlyst its more about knowing how to code and program and do analytics. The difference between data scientist and data analyst is not having to know much math?
My background is in data and AI. I'd like to specialize in data science, but I'm wondering if it wouldn't be better to do data engineering first. What are your thoughts on this ?
Thanks for this info! I found it very useful 😊
Very nice analysis of current data science profile and helpful insights keep going.
Easy route is following the Google courses in order.
Thank you!! Great explanations that were useful for me.
Thank you
I will remember this
i will fight for you
Very valuable insights. Thank you.
Hi Sundas, Thank you for creating interesting video all the time. My question is how would the so-called “Customer Insights” role be positioned relative to data scientist or data analyst etc in your role classification world? Just curious to know what you’d think.
this explation is better than other..
Could you make a video for prompt engineer? How it’s related to data science?
Finally got the right one 👍👍👍
Thanks to you, i was about to jump in Data analyst before data science. 😢😅😊❤
*Hi Sundas. Glad to see the notification. I enjoy the video and hopefully it will be helpful to me. Thank you for sharing about 10 learning mistakes that we data scientist must avoid. Keep great topic up! 💻🥪🍵*
this was really helpful, thank you so much
Excellent video 👍
About not being a data analyst before data scientist: no is hiring young data scientist / junior data scientist. I have a lot of data scientist and ml coursework and some experience and I haven’t heard a single phone call in two years of applying :-(
Moving beyond regression? could be misleading no? might lead to shallow learning?
Love your videos! Thank you! ❤😊
Happy to see this topic.
Love your videos! I would like to ask do I need to study a degree in data science to get into this field?
That Neon gitlab sign is bangin.
don't agree with 2 and may be 1. Majority of roles titled Data Scientist roles are analytics + statistics roles. So, you need to be good in analytics to work in these roles.
Thanks of this valueable video! But number 8 mistake is missing - so edit the title 10 to 9 as numerical correct ;)
Thanks a lot! This is so helpful.
When you said running into issues is not bad, that gave me a different perspective to problems with a sense that problems can be handles effectively
I saw your first video 2 years ago and decided to learn Data Science along with my 9 to 5 job.
I got 3 to 4 offers but i want to work as a remote or part time Data Scientist.
I don't know where to practice my skills and work in the evening shift or remote job.... Still going slowly but....
What stream did u choosed to become data scientist?
your awesome your recommendations are valid!
im basically a software engineer, but undergraduate, i want to become a data scientist, i have a idea to do a bachlor degree in data science, waht is the good sources for self study?
hello , you gain a new regular viewer .
Welcome!
I am a final-year student pursuing information technology at a Tier-3 college. My aim is to be a data scientist. After watching so many roadmap videos, I found yours explaining the core skills required. Python wasn't one of my subjects, and I didn't have anyone to guide me in learning coding languages apart from my syllabus. I am going to pursue my master's degree abroad; the class starts in the month of July. I am still lacking confidence in what to learn. Will I be able to stand out in the crowd? I request experts as well as the creator to help me learn the appropriate skills that are required to be learned before the class starts so that I can cope and also learn and be confident. Please comment.
Well sir I don't have any answers for you but I have a question..
I'm from India, just passed 12th standard and now going for my 1 St yr in college and I need a guidance on whether I persue Bsc(statistics) in Data Science or to go for the IT and then Data science..?? I will appreciate your explanation sir..
@@chiragprajapathi3442 If you are very sure that you want to work in data science field roles then take BSc Statistics and then do a master's in data science. (again, it depends on the curriculum) . If your course covers all aspects of data sci then please go for it else if it has a strong emphasis on stats only then do a master's degree in data science or any course that would cover them all, work on projects, and build a strong profile.
I don't have data science or computer science background. Can I still get a job as data scientist? I saw many companies put related degree as one of a requirement...
same question
I don't think so.
Learn data science.
It's 6 to 8 months
Ok first of all thank you for your video and all the information that you give us and the second thing that this is the first time that I felt that I didn't wasted my even once again while watching this video because whenever I watch other TH-cam videos I feel like I am wasting my time but in this video every second was about information thank you so much❤
thank you clarifying about data analytics and data scientist roles clearly Sundas Khilid.. I have learned data science i have learned ML.. and could you please explain what is data engineer role ?
Thanks. You're the best
Thanks for the video.
I like those several options
Machine learning engineer
AI engineer
Data Analyst
Data engineer
AI product manager
thank you for nice ideas for data scienctist
Coding is to Data science as Calculator is to maths. You can do math and data science without the tools, but that would need a lot of manual effort
Hello Mam, I hope you are doing good! I need your guidance in choosing my career. Actually, I am an international student at Deakin University Melbourne Australia. I am doing a bachelor of computer science here majoring in data science. I don't have a previous maths background as I did my 11th and 12th in Commerce. So I wanted to that what kind of maths is required to become or step into the field of data science. I am following your TH-cam channel and you posted the video for the same topic. But then I also I am bit confused. So can you please guide me with this.
Thank you!
Thank you Sister ❤
What should I do first, I will like to be a data scientist
As a beginner (literal beginner), I’m so lost on where to start.
learn python and sql
...I hope you do respond to career questions: I am currently in Graphic Design. But I would like to implement ML in Graphic design. Especially on repetitive tasks. I nave a hunch ML can be implemented in Graphic Design. Your advice is greatly sought. And yes, I have watched a lot of videos too. And I am just not sure which course to pay for.
Try front-end soft engineering
can re-explain the types of projects we have to do?
Excellent.
Hey Sundas ! Quick Question ? Not sure what you meant by looking at the Job Description for someone who works at Meta ? Can you please be a bit more clear. Thanks.
I'm 44 and want to switch from finance to data science, as a first step I think of getting a master degree in data science...do you think there is still place for people like me?
Hey may I know the reason of switching bcoz I am data science student right now and want to switch the finance side after the graduation
@@pranavmittal9619 hi! I want a remote job, the data science seems quite a good option
@@pranavmittal9619 hi! I want a remote job and live where I want
i spent 15 to 20 mins finding mistake 8. 🙂 haha btw great video keep making the DS content. 💯
Thank you miss
thanks for the tips!!!
Thankyou for the valuable information!
thank you
thank you!
Can you talk about data analytics and how it is relevant or not relevant for accountants.
Dear Sundas I have been watching you for a long time, I research a lot and now decided to become a data scientist. But I don't have a tech background so is that suitable for me and Do I have to get a degree in it? By the way enjoy your videos.
"if you got to this video probably means youve watched alot of them"...... literally my first one :(
Thanku mam it will help a lot
Brilliant! Thanks❤
Hey! I am thinking about getting into this field as I enjoy learning. But the problem is, that I want to secure a job that won't "demand" continuous learning at a higher rate. Will it be a bad decision for me to get into the data field?
Are Data Structure Leetcode questions asked in Coding(Python) for data Science roles? Or should we focus only on data manipulation i.e. numpy, pandas etc.
Well I am fit to ans this que since I myself work as a Data Analyst. Data structures are not very relevant for fresher level jobs but some companies do put up a machine round of DSA to cut competition. But if you are a beginner...I would suggest you to focus mainly on numpy, pandas and matplotlib.
Hi Sundas, I can see you didn't replied to most comments still asking. I work as Business Analyst in software firm & looking for opportunity with Google. Do you have any suggestions in it.
lovely teacher thanks
Nope got to this video cause I enjoy your content.
Glad you got to this video!
Already am in my final year in a degree of statistics.
Am interested in field data science
They thought us R as statistical software. I also took a short certificate on advanced excel, spss and stata. Currently am taking python for data analysis from coursera also I do watch different TH-cam videos. Sometimes I learnt many things and I don't when and we're to apply😂
Plz any advice
what do you mean by 'learning the basics of Maths and Machine Learning' ??
I generally follow a roadmap on a project leveraging generative ai. I dont want the whole project to be done of course but I mostly use its codes while the funcitonality of the project is set on my brain and only I know the steps. do you think this is harmful?
I need to know the job descriptions with the demand on it. And get a road its really hard to differ between titles and no Road map is clear.
I am here after watching Codanics channel.
My bachelor's degree is in Statistics. So, I am basically a statistician. I wonder what is the difference between a statistician and a data scientist. Because I am on the point of shifting my career (Only did reporting so far) but not sure if I should go with data science, data analysis or statistics.... I am aware it should be based on my interests but advice would be appreciated as well :) Thank you for the video!
Bro. Data science domain is a meeting point of statistics, business (niche), and coding/databases.
Which is better in usa, data scientist or AI?