How Much Maths Do You Need To Know To Become A Data Scientist

33 thoughts on “How Much Maths Do You Need To Know To Become A Data Scientist”

1. As you said, I have been learning even after my college time. Always struggled but as i put so much time learning myself. I came to understand the key of learning anything is relating what you are learning to something you already know and always ask whats the real use case scenario of what you are learning.

2. finished watching

3. Can you tell me as beginner, whcih of the playlist of yours i shoud watch first,im so confuse,like first learn math then data scinece & then ml,and so on…
   Can you gudide me😅

4. Thanks

5. You really help fast track learning , Thanks

6. He ace the sentence "real world scenario"….😂🫠

7. Phd nahi krni pdegi itne sare topics krna phd hi to hai aur integration apne aap mai ek PhD hai

8. Cannot explain how necessary this video is before starting machine learning

9. You show me the right path till day I tried to learn math separately and it is a huge topics to cover I struggled lots with math now I got clear view how to approach the math thank you for your valuable advice

10. Is coordinate geometry required for DS?

11. Hi, I am a first year grad and did python maths and figured out my interest in Data Science and ML. Sir for calculus and algebra should I refer your deep learning playlist as it sounded like its for people who are at intermediate level as it has concept like NLP as you said in the video and shall I do complete the whole playlist for just do maths part for now and refer the playlist again when I'll be ready to start deep learning?

12. நன்றி தலைவா🎉❤

13. Sir I don't have a math background from school or even in intermediate studies. Now I want to pursue a career in Data Science but lack fundamental math skills. Is there any solution for this?

14. Is this statistics work for data analytics

15. 1] Linear Alegebra
    2]] Calculus
    3] Statics

16. Thanks Sir G❤

17. Hello Krish,

    I have a doubt as u suggested in the video we need to learn Data science as a case study & work our way backwards on how Python or R is used as a programming tool, And how statistics,calculus & linear programming is applied on a real life case study or how data visualization is done using tableau on a case study..But the problem is if ur not aware of these concepts beforehand wont Data science be difficult..As per my understanding we should have a solid foundation on the pre-requisites & then go for Data science am i right??

18. Which laptop is best for data scientist

19. Slow down the speaking pace

20. In my university, i have to choose one between natural language processing and foundation of data science. What should i choose

21. thank you

22. I used to think that math without application was inferior until I did discrete mathematics. I think that a rigorous approach starting from topics like trigonometry will make math seem more like someone is trying to prove something rather than using formulas which becomes very stale. I believe that applications drain the syllabus. When taking vector calculus our teacher skipped optimization. If we had spent time covering optimization, we would have less time working on really important concepts like Stokes Theorem which comes towards the end of the course, when optimization comes at the start. In my opinion, it's nice to mention applications in passing than to actually go through the work, and let people take courses in that particular coursr of application to learn more, for example mention optimization during vector calculus then the student goes on to take linear programming etc. A textbook example is Strang's Linear algebra and its applications. It is a second course in linear algebra focused on applying concepts. I also own a copy of Axler's linear algebra done right. The latter is a much better second course because it focuses on doing linear algebra. Strang's content on differential equations, Jacobians, linear programming etc can all be done in their respective courses. Axler ultimately covers much more material.

23. The video starts at 2:32. I couldn't understand you without subtitles.

24. I think non math won't do good there

25. My friend form bcom done
    Data Science

26. bro i'm arts student😢

27. thank you for such a good and informative video.

28. start 2:28

29. Hi Krish
    Please do respond to this , is getting into AI AND ML after 40 overambitious ?? It seems so vast and daunting with the maths and stats bit , is it achievable ?

30. Thanks

31. Only understand purpose then it's ok not go for formula and deeply , but sir you still taught deeply in math that much not needed

32. If i am weak in math i always stucks whenever i try to solve a problem, thats why the fear inside me for maths became huge😓, should i study data science?

33. Thanks Sir ✨

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