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. :)
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.
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 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!
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.
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.
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.
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!
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
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?
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.
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 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/
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.
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.
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.
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 !!!
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'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!
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 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.
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
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 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.
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
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.
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.
