How To Learn Data Science Smartly?

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  • Опубликовано: 5 янв 2025

Комментарии • 1,2 тыс.

  • @krishnaik06
    @krishnaik06  3 года назад +41

    Please do subscribe my vlogging channel for motivational videos
    ruclips.net/channel/UCjWY5hREA6FFYrthD0rZNIw

    • @vikramadf
      @vikramadf 3 года назад +1

      Can i go through Mechanical engineering to a data science

    • @vikramadf
      @vikramadf 3 года назад

      Please help

    • @ajitharya4233
      @ajitharya4233 3 года назад

      Hello sir . I am experienced mechanical engineer . Can I do Data science program ? Please suggest

    • @saisravanirajtamarana2037
      @saisravanirajtamarana2037 3 года назад

      Hii i am looking for personal tutor..
      If u can provide me personal tutoring
      Please let me know or please tell me how to reach u

    • @shabinaa6407
      @shabinaa6407 3 года назад

      Sir is there any video on Supervised deep learning?

  • @kushmadhu4802
    @kushmadhu4802 5 лет назад +1280

    This guy is so amazing that he is sharing this valuable knowledge to all...I really appreciate his efforts to teach data science... India needs this kind of people more

  • @mounsifhanafi6988
    @mounsifhanafi6988 5 лет назад +18

    Hi everyone, i'm a datascientist and i can confirm what he talked about is what you need as dataScientist. You need to have in mind that in real world ( in company), collecting preparing cleaning data is what will consume 80% of your time, and dont be disppointed about it, it is part of the job, and all courses they will never talk about it. Applying machine learning algorithm is the fun part par in fact its only 20% of your job. as he said you need to be at ease web scrapping to collect data, but i will also add sql queries, spark ( you have the python version pyspark). In a fact, you will discover that you need both data engineering and Data Science skills to perform well. To finish, for beginners , at the beginning it will be hard, but it's worth it. Have fun doing Data science.

    • @Jagpal.S
      @Jagpal.S 5 месяцев назад

      Hi...I have some crucial work on AI-Native GPU Cloud Platform from an international clien whch requires end to end developing solution, Testing and deploying in one of the multionational Privatly owned bank. Would you be interested to connect..?

  • @hubertg7100
    @hubertg7100 5 лет назад +25

    Hands Down , the best data science intro that you tube has recommended.
    Luv the the presentation, adding the visualization elevate this to another dimension...Much appreciated.

  • @amitd9051
    @amitd9051 5 лет назад +2

    U great. Within 15 min you give all details regarding data science. Because of you people India leading in software and feel proud.Good works!!

  • @robertear101
    @robertear101 4 года назад +12

    I forgot to THANK you;you have a big heart to give/share so freely.

  • @rajk.mishra1793
    @rajk.mishra1793 5 лет назад +247

    I'm sure who gave thumps down would be either dumb or competitors. Simply superb articulation of journey to become data scientist.

    • @pythonanimalia
      @pythonanimalia 5 лет назад +3

      there are like 19 dislikes over 2000 likes. stfu.

    • @zeffali352
      @zeffali352 5 лет назад +7

      Somtimes people who dislike has litl higher amout of knwldg trust me bro..

    • @johnwig285
      @johnwig285 4 года назад +1

      @@zeffali352 i dont trust you 😂

    • @sasmitasahoo8663
      @sasmitasahoo8663 4 года назад

      Am jst 12th appeared...plss tell me which stream i will stydy for btech...in which clg..plss sir suggest mee plss😥😥😥

    • @shivamsrivastava3774
      @shivamsrivastava3774 4 года назад +1

      Why do you have so much of time to even comment and tell your opinion on something? Did anyone ask you? People might've searched for the first step they need to take towards data science of even data analytics and they may have landed on this video to know the general insights! If you know everything then apply it somewhere and keep your mouth shut! This guy has lots of knowledge but it ain't for beginners! So many jargons that can actually scare away the audience who is just thinking about this

  • @saikumarreddychalla1254
    @saikumarreddychalla1254 5 лет назад +10

    He is explaining so clearly so that everyone can understand it. Awesome :)

  • @MANOJKUMAR-cc8pu
    @MANOJKUMAR-cc8pu 3 года назад +1

    Totally I have become your big fan 👍 Real hero of Data Science 🔬 Industry 👍🙏💐

  • @bharathraj309
    @bharathraj309 5 лет назад +6

    Thank you, Krish, I am only halfway through the video, and as complex as the Data science is still I want to stress this point that you make it look so easy, to get an understanding the outline of the data science and machine learning. thank you..!!!

  • @kimberlyoldschool
    @kimberlyoldschool 4 года назад +14

    This is a wonderful channel and I appreciate you putting in the work on your videos. I have a PhD in a statistical field and since the world is changing, I am learning machine learning and new languages, as well as figuring out ways in which experienced data analysts can transition to data science work. Your videos are incredibly helpful for me in thinking about all of this in an organized way.

  • @MrSagar93
    @MrSagar93 4 года назад +4

    Thank you so much Krish, this is my 1st video that I watched on your channel. and believe me I got my concepts clear. Not All Super Heroes wear Capes !! Thanks man

  • @lindadelalifiasam5878
    @lindadelalifiasam5878 4 года назад +2

    Hello Sir greetings from Ghana 🇬🇭. Thanks for this though I am very very new to data science and I was very confused of where to start but with this head start I will try it. Thank you

  • @diazsuar
    @diazsuar 5 лет назад +5

    Let me congratulate you for such an amazing an methodic summary of the (nothing more and nothing less) BIG DATA area. Regards from argentina.

  • @itsCakoushal
    @itsCakoushal 2 года назад

    This video upload three year ago, but I was not aware of such channel which is explaining in full detail with very conveniently. Thanks a lot sir 💐🎉

  • @rehanbaig71
    @rehanbaig71 5 лет назад +9

    Sir, you guided in a very effective way, now a days I am also focusing on Data Science. Some of the requirements I have fulfilled but now I am a little bit confused about to start practice on Data Science. Kindly make a video for beginners to start practical training on Data Science. Or guide the beginners , how to start working on projects for getting practical exposure before applying for a job. Thanks.

  • @ajithkumar0219
    @ajithkumar0219 5 лет назад +1

    You wondering About DS. Every Beginner must follow you. A good guide for DS. Teaching way are so intractable sir. Seriously U r Rocking ☝👓

  • @priyadarsinirajan1248
    @priyadarsinirajan1248 5 лет назад +6

    Clear explanation..and explaining in well understandable manner..good knowledge..clear idea about the subject..good language skills..keep going on..

  • @abhayavinayak
    @abhayavinayak Год назад

    THANK YOU SO MUCH. I, as a beginner, always wished to learn about data science. Your explanation was easy to undertsand 🙏🙏🙏🙏🙏

  • @Sowjimansulomatalu
    @Sowjimansulomatalu 5 лет назад +695

    Karma is like this when u hate maths but it folllows us even we select computer science as main subject...ufffffff

    • @bharathkrishna7518
      @bharathkrishna7518 5 лет назад +8

      Absolutely even I too hate mathematics

    • @Bearcat0240
      @Bearcat0240 5 лет назад +70

      Computer science is maths !

    • @Bearcat0240
      @Bearcat0240 5 лет назад +16

      Idiot

    • @Bearcat0240
      @Bearcat0240 5 лет назад +15

      @mohammad yousaf people with commerce background are also into web dev and Android/iOS dev these days .
      So what's the point of doing cse

    • @laylarahman11
      @laylarahman11 5 лет назад +19

      Dude, what can I tell you. Maths followed me even when I chose Economics smh

  • @joxzgamingyt7864
    @joxzgamingyt7864 4 года назад

    It doesn't matter how many data scientist's are there here in India, And How many are there more skillful than you, You really are special!!

  • @johnnyscott7153
    @johnnyscott7153 5 лет назад +18

    This was the best summarization of what to focus on for data science that I have seen. Great job! You have earned a new subscriber.

  • @manishachavan5731
    @manishachavan5731 4 года назад +8

    He is amazing to sharing this valuable knowledge to all...I really appreciate his efforts to teach data science... India needs this kind of people more

  • @JohnnyG196
    @JohnnyG196 4 года назад +9

    Wow, this was actually very helpful. I never heard such honest and useful advise. Thank you for showing me the idea of what to do and how to think of data science very differently!

  • @kavithapriyacj4868
    @kavithapriyacj4868 2 года назад

    oh my..when u finally numbered those topics it was like a sharp flash of light in forest for me..Got a Spark in my mind..eyes filled with tears and released a big breath...thanks alot guruji..u just rocking...please upload more on this fr helping infants like me

  • @CrazyBlueMood
    @CrazyBlueMood 5 лет назад +9

    A good summarized view of how to move into DS. Aur Krish, Iris data kay saath cricket bhi khela tha.. v. good :P!!

  • @akshaypatil8155
    @akshaypatil8155 2 года назад

    Your attitude is pure gold. ur teaching technique is a very hard recipe to master. thank u

  • @theworldasits1457
    @theworldasits1457 5 лет назад +74

    I watched lot of videos about DS but this one is the best one.

  • @rendiakbar
    @rendiakbar 5 лет назад

    This video is very good for people who want to learn more about Data Science like me. Thank you very much from Indonesia.

  • @mudhitkumar
    @mudhitkumar 4 года назад +3

    I am gonna rock this and I am confident about it, all credit goes to this man. Thank you so much.

  • @prettylilnerdy6802
    @prettylilnerdy6802 3 года назад +1

    Best roadmap for ML/DS on utube I have seen till now

  • @anjumshayk9232
    @anjumshayk9232 5 лет назад +3

    Deep Learning is not the subset of the Machine Learning instead it is one step ahead called Advance learning. And Classification, Regression, Reinforcement etc are Different Types of TASK one can perform based on use case either using Machine or Deep Learning. And Random Forest, SVM or Neural Network are the Machine Learning Algorithm which can be used to predict the outcome.

  • @SiegelBantuBear
    @SiegelBantuBear 9 месяцев назад

    Just bumped into this channel today. Krish bless you back. 9 yrs since i last interacted with tableau.😊🙏🏼

  • @tanvikanhere5701
    @tanvikanhere5701 4 года назад +7

    U rock man! Thanks for simplifying my confusion as m a starter in DS field! No fancy stuff ideally authentic scenario! Great work!

    • @theamithsingh
      @theamithsingh 4 года назад

      I love how he's not pretentious one bit.

    • @sasmitasahoo8663
      @sasmitasahoo8663 4 года назад

      Mam...pls help me to find out what to study..i had jst appeared 12th now.....i want to do btech...what should i do...plsss advise me..plssss😥😥😥😥😥😥

  • @BatahJulietNabatanzi
    @BatahJulietNabatanzi Год назад

    i think this introduction to data science should be included on these online platforms because its thorough. i have been doing this data science course online but i never understood what i was learning till i met this video. thank you bro

  • @mathiass9338
    @mathiass9338 5 лет назад +29

    I'm inspired. That was really good. I've done about 50 hours of DS work and haven't had a perspective on what being a Data Scientist truly meant until now. The thought of the amount of frustrating work needed to become competent through reverse engineering, and having the diligence to see it through. That's honestly terrifying.

    • @fazlfaz6102
      @fazlfaz6102 4 года назад

      Mathias S man I’m a beginner can you help me out???

  • @Sriparna33
    @Sriparna33 4 года назад

    Man...U rock..!! Both inside ur brain n outside world.....

  • @sid5424
    @sid5424 5 лет назад +4

    very few ppl are on you tube who is sharing such practical information otherwise all are teaching just from books..
    thnx for giving us so mch powerful content and boosting us 👍👍👍.. keep doing this 😅😅

    • @ayushthakur7857
      @ayushthakur7857 7 месяцев назад

      So you became data science engineer at this time?

  • @sinagamlavanya5241
    @sinagamlavanya5241 3 года назад

    I am starting my learning in data science after watching your video...ur words are really amazing and inspired me a lot

  • @ayush51379
    @ayush51379 5 лет назад +26

    Thanks a lot for making this video!!
    What I learnt here:
    Try to Collectively learn all the steps of Data Science instead of only learning them separately. This will enable us to learn application along with theory, and will be less boring as well :D.
    Try to do reverse engineering of the Data Science solutions to problems, and try to think on your own on how did this happen and why was this method choosen.
    Also, keep learning and applying the knowledge you learnt on other projects.
    Keep an open mind, actively search for data sets to work on, learn new things by working on them.
    All the best!
    Have an amazing day! :) :) :)
    Looking forward to learning more on Data Science! :)

    • @abhishekpanwar1455
      @abhishekpanwar1455 3 года назад

      Hello, but how to understand all these things when you are a beginner with no programming background and machine learning, and seeing a data set for the first time?

    • @tahleelabusidu798
      @tahleelabusidu798 3 года назад

      What is the meaning of reverse engineering here?

  • @ashwinkumar8328
    @ashwinkumar8328 4 года назад

    man, what a brief explanation of data science touching all the key features ..... gave me a really good sight of ds..... keep up the great work!

  • @vittorioa4252
    @vittorioa4252 5 лет назад +6

    Really good. Answered so many questions in a nutshell without any fancy graphics or overproduced bs.

  • @akskumar4934
    @akskumar4934 4 года назад +1

    I saw first time your video ... From today I follow your lecture hope this will help me

  • @Oliviaf176
    @Oliviaf176 5 лет назад +7

    Finally somebody! I've needed this video for such a long time, thank you :)

  • @osamamustafa6884
    @osamamustafa6884 4 года назад

    Brother lemme tell you, you are doing a Great Job Keep up the Spirit..Your approach is 99% practical

  • @mitchellegan4658
    @mitchellegan4658 5 лет назад +13

    Thank you so much for sharing your knowledge/skills. Many people with this much knowledge don't share it with others. Thank you for sharing it with us!

  • @mohammedjawadahmed1112
    @mohammedjawadahmed1112 Год назад

    Got a suggestion... very helpful information. Describes in very simple way and gives a pathway to approach

  • @boubeniamohamed236
    @boubeniamohamed236 5 лет назад +24

    Man...I finally find you.
    The best introduction ever !
    GG

  • @asheeshkchopra
    @asheeshkchopra 4 года назад +1

    Thanks Krish ...very crisp.

  • @ankitnautiyal1195
    @ankitnautiyal1195 5 лет назад +3

    You are doing wonderful job. Can't thank enough. Keep up the good work brother.

  • @rajubollimuntha
    @rajubollimuntha 4 года назад +2

    Really great explanation. It has cleared my million dollars question where to start or how to start learning Data Science.
    Thanks a lot

  • @theotherside7504
    @theotherside7504 5 лет назад +6

    A very practical advice to start with solving a particular problem, choosing an algorithm for that and going through the steps in detail.

  • @namansharmacsb1063
    @namansharmacsb1063 3 года назад +1

    keep it up sir
    you are sharing your knowledge to us thanku sir

  • @mediniamani548
    @mediniamani548 4 года назад +14

    This is like the best explanation I have ever had about data science, so simple yet so convincing and helpful, thank you soo much for your efforts

  • @omarabubakarosman2791
    @omarabubakarosman2791 2 года назад

    Nice and Powerful. The classification of Data Science is clear enough.
    The question I want to ask is, WHAT IS BIG DATA?

  • @manikandhar
    @manikandhar 5 лет назад +4

    Thanks a lot Krish, you've cleared my vision for transitioning to data science...

    • @suhanisultana27
      @suhanisultana27 4 года назад

      Hey everyone
      Ever wondered what a live data science project experience would be like ??
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  • @kazimrahman7499
    @kazimrahman7499 3 года назад

    You are a SUPER Data Scientist MAN...Thanks..!!

  • @bimalkumarsingh1653
    @bimalkumarsingh1653 3 года назад +4

    Today I found a GEM!! on youtube, feeling blessed

  • @baqirhusain5652
    @baqirhusain5652 5 лет назад

    Thank you sir.... I will stop complaining that i dont know things before hand how can i do it... But now i will know whilw i do it

  • @amitabhgautam8503
    @amitabhgautam8503 5 лет назад +10

    Extremely helpful, i will recommend your channel to my students.

    • @Jagpal.S
      @Jagpal.S 5 месяцев назад

      Hi...I have some crucial work on AI-Native GPU Cloud Platform from an international clien whch requires end to end developing solution, Testing and deploying in one of the multionational Privatly owned bank. Would you be interested to connect..?

  • @constanza3537
    @constanza3537 Год назад +1

    Thank you! Great advise!

  • @Ashishkumar-nd8et
    @Ashishkumar-nd8et 5 лет назад +7

    Brother., I request you to make few videos on your reverse engineering technics... I think there would be many of yours followers wanted to see how its done.. Thank you

  • @emekaanolue219
    @emekaanolue219 5 лет назад +1

    Welldone Krish...thanks for sharing this. Am sharing it right away.

  • @SasidharKhambhampati
    @SasidharKhambhampati 5 лет назад +4

    Great Video, Thank you Krishna .

  • @youcefyassef5672
    @youcefyassef5672 4 года назад +1

    Very Informative video, thank you

  • @anikbarua4834
    @anikbarua4834 5 лет назад +12

    Thanks for the clear concept and explaining the learning path nicely. It will be great for us if you can discuss a real life data science project and explain the steps one by one. It will help us to understand the workflow as this video did for DS. Thanks again.

  • @school_boy14
    @school_boy14 5 лет назад +1

    The reverse engineering techniques was a genius idea u got 😄 thnk u very much for sharing your knowledge, its an easy way for many programmers to follow your Guidelines.

  • @crazyayhan7533
    @crazyayhan7533 5 лет назад +7

    Such a splendid video, my chum just explains it very stupendously. I feel very gayly to found this content in RUclips. Much obliged my chum.

  • @yogeshvishnole1264
    @yogeshvishnole1264 4 года назад

    Great video Krishna sir , I started lerning data science and it helped me very much

  • @the_imposter_analyst
    @the_imposter_analyst 5 лет назад +5

    This was so helpful. I've been stuck for a while now. Thanks so much.

  • @VaibhavPatil-rx7pc
    @VaibhavPatil-rx7pc 5 лет назад +2

    You are hero of knowladge !! Great job of knowloadge sharing !! good job!

  • @tera6245
    @tera6245 5 лет назад +3

    absolutely awesome mai friend, im on the right path..

  • @EnglishGeekWahoo
    @EnglishGeekWahoo 4 года назад

    This is the best explanation you ever can get about data science and its different skills and components thumbs up Krish!!!

  • @jamespaz4333
    @jamespaz4333 5 лет назад +8

    What a valuable knowledge... 100 points sr.

  • @shakeershaik2497
    @shakeershaik2497 5 лет назад +1

    Krish Naik, you are doing an amazing job educating people through your videos. Thank you for your efforts.

  • @sravanmunigala7882
    @sravanmunigala7882 5 лет назад +7

    It's an amazing technique to start with the data science... Appreciate your efforts to share the knowledge👏👏👏

  • @Ram-oj4gn
    @Ram-oj4gn 2 года назад +1

    Great guidance.. thank you

  • @akhilaravind3741
    @akhilaravind3741 4 года назад +6

    Hi Krish, thanks a lot.. Really helpful and easily got a nice view on DS at a glance. Keep doing this kind of genuine "service" to society and to those who wish to learn. If you have chance, would you please help with another video on Bigdata and related things?

  • @medozarkah8354
    @medozarkah8354 5 лет назад +1

    I have to say that through all the videos I tried to know more through them on DA this videos is the best - shortest - more valuable & educating . I have to say .. Thanks.

  • @rizki3105
    @rizki3105 5 лет назад +4

    Nice video. It explains the field where I'm lacking at. And please make the Data Analysis Playlist sir

  • @nikhilgupta4859
    @nikhilgupta4859 2 года назад

    Heyy Krish, I am your subscriber from past 1.5 year and I feel honoured to tell you, after following you I finally got a job transition as a senior data scientist at an MNC 6 month back. Now I have understood the datascience project ecosystem in my company. You are one of the contributors for my success.
    Thanks a Ton!!!!!
    Also I would like to open my hands for helping learners. So learners you can tag me asking any doubts. I would be more than happy helping you.

    • @Pratikology
      @Pratikology 2 года назад

      Hey bro can I get your insta? I'm also trying to switch

  • @kalyanganne5861
    @kalyanganne5861 5 лет назад +5

    Great video, I am starter of Data Science, please upload videos in Maths Learning

  • @villagefitnessjogi4192
    @villagefitnessjogi4192 3 года назад

    Good morning sir, first time I heard Data science , I am so interesting. To learn Data science, basically I am physical education faculty , I don't have any idea regarding programs and languages, I want to learn from basics through Your channel... Kindly share basics, which is most essential for learn Data science... Because I have zero knowledge in Data science...
    Thank you...
    Jogi

  • @jamesma2091
    @jamesma2091 5 лет назад +4

    Thank you. Very helpful video.

  • @vipulwarthe
    @vipulwarthe Год назад +1

    Hi Krish, you will give perfect knowledge on machine learning and i really like to watch your all videos because your teaching skills are so perfect and understandable....If possible can you teach How to learn MLOps ? related tools and components, roles and responsibilities and one end to end project with real world production use case for mlops which includes all pipeline steps (from data preparation to deployment on aws using mlflow)so it will help me to crack the MLOps engineer interview. its very wonderful channel to learn ML and I appreciate you putting in the work on your videos.

  • @chinedumjoseph9875
    @chinedumjoseph9875 5 лет назад +8

    Thank you for your detailed summary of Data Science. It is helpful and has sparked my interest to kick off

  • @bhanothshivaganga7484
    @bhanothshivaganga7484 5 лет назад +2

    Thanks a lot for the video.....keep rocking👍👍

  • @ramraheem938
    @ramraheem938 5 лет назад +3

    Loved the content!
    Thanks for sharing

  • @flyingsalmon
    @flyingsalmon 4 года назад

    This is actually a very valuable high-level overview of what's needed to learn...often, the brains are there, confusions even more so, and a little direction elevates the efficiency for the tech world.

  • @ravim49
    @ravim49 5 лет назад +3

    Excellent my dear keep it up

  • @woahhhydrr
    @woahhhydrr 4 года назад

    very nice information....No one could ever describe like this person explained. Hats off sir!!!

  • @vemulaakash8212
    @vemulaakash8212 5 лет назад +7

    Thank you sir , whole heartedly.

  • @phanikiranbodavula5523
    @phanikiranbodavula5523 5 лет назад +1

    Thank you. This cleared many doubts that I have for last few years. Subscribed

  • @chanman201
    @chanman201 5 лет назад +4

    Great overview/chart. I subscribed.

  • @robertear101
    @robertear101 4 года назад +2

    The best overall DataScience introduction I've seen!

    • @suhanisultana27
      @suhanisultana27 4 года назад

      Do you have what it takes to become a world class data scientist ? Find out - How
      Join a 10 hours total / 5 day certified live data science course learn and experience a data science project from start to finish all this at just 599/- OR if not go ahead and eat order your Pizza !! Whats app 8927136169

  • @ashutoshmallick6342
    @ashutoshmallick6342 5 лет назад +5

    One word - Informative !

  • @ChandanKumar-oz8te
    @ChandanKumar-oz8te 4 года назад +2

    You are a superman for mee. I am pursuing M.Tech in Data Science now. This video completely changed my life today. Today is turning point of my life. THank you very much sir . You are awesome.

    • @RS-im3co
      @RS-im3co 4 года назад

      How did it change ur life??

    • @hardy2175
      @hardy2175 4 года назад

      Man you must be in a wrong course. Even Krish would suggest you change your line. This is basic , first day stuff.

  • @swarnimapandey7297
    @swarnimapandey7297 5 лет назад +5

    I am addicted to your knowledge in data science field, man!! you are really helping me in many ways to complete my masters in data science and AI and just bcz of your videos I am confident enough to land a good data scientist job this year!! keep going!! You are an inspiration for many like us!!

    • @fury1920
      @fury1920 2 года назад

      Hello what are you doing now?

  • @mfamntonoba2189
    @mfamntonoba2189 4 года назад

    Good approach,short video with bullet points,Please more videos on various areas not above 45 mins.Cheers

  • @rajjupudi
    @rajjupudi 5 лет назад +16

    Thanks for the video to become Data scientist in addition to your video do we need to know/learn AWS-cloud, Hadoop-scala spark NoSQL and Hive

    • @jayadithyanalajala9604
      @jayadithyanalajala9604 5 лет назад

      Do we even need to learn pandas in Python....

    • @hulkai3436
      @hulkai3436 5 лет назад +2

      @@jayadithyanalajala9604 yes, libraries like pandas and numpy are important

    • @jayadithyanalajala9604
      @jayadithyanalajala9604 5 лет назад

      @@hulkai3436 sir I am currently studying 1st year of my btech so can u please suggest how to kickstart learning data science...please

    • @BiancaAguglia
      @BiancaAguglia 5 лет назад +3

      ​@@hulkai3436 Agreed. It's important to learn those libraries. They make your work much faster and much easier. One analogy is throwing a party. You could cook everything from scratch, create party decorations from scratch, etc, *or* you can order the food, buy party supplies, etc and put everything together to make a great party. 😊 That's what the libraries do: they have fast data cleaning and visualization tools, have all sorts of algorithms, and so on that you don't have to code from scratch. Very handy.

    • @username-notfound9841
      @username-notfound9841 5 лет назад +3

      Go with Spark, as it is quickly replacing other traditional systems - it now comes with Dataframe approach and is quite easy to integrate with python. AWS, Azure, IBM Watson etc serve as managed web services that can be used - both as an alternative to code driven ML models and also for helping with compute power.