Hello Guys, this is a very important for whom who are looking data science for jobs and want to understand the skillset required for Data Scientist in 2020. Please do watch the complete video. Happy Learning!!
Asome sir Am happy to say that am following you from past one year and I got interested about data science from you... I'll become Data scientist one day for sure... Thank you for the knowledge
Hello sir video is really helpful sir I m not working since long 5 years now I want to push forward an restart my career with data sceince can I go for this what should I do..
Hello sir, I'm fresher and looking for data science jobs, I followed your path from some month's and assume you as my mentor. I'm always curious and interested to see your videos. Thanks for your contribution towards us.
Sir, Could you please refer us that from where we can learn hadoop, AWS/Azure cloud services. Like you refer us Corry Shaffer you tube channel. Because it is going to be more helpful for us.
Summary - 1. Programming language 2. Maths and Stats 3. Database Management system 4. ML and DL knowledge 5. Basic knowledge on big data 6. Natural Language Processing (NLP) 7. Git Repositories(with bitbucket,etc) 8. Create reports with Business Analytics tool(Reporting tools) 9. Various deployment mechanism (azure,AWS..etc) 10. Cloud computing services 11. DevOps Basics (Kubernetes, docker, etc)
Summary of this video: Skill set: 1 Python or R 2 Statistics and maths 3 Database 4 ML and DL 5 Creating Pipeline 6 Bigdata and Hadoop 7 NLP 8 git 9 Reporting tools 10 Deployment 11 Cloud Computing for training on GPU AWS and Azure 12 Docker
Very good advice, as usual. 😊 One skill that I would add is first-principles-based-thinking (i.e. understanding the fundamental principles and fundamental building blocks for your project.) That will help you avoid unnecessary dependencies and keep your project as small and as efficient as possible while still making it scalable.
Thanks a lot for sharing.. I am a graphic designer strong with design visual skills frm media background 10 years.. What job profile would be best for me then here to learn????. Also Many industries have age criteria after certain age then dont hire u. How does age factors work here when a old 45 age fresher works under 25 age experienced person???
Programming knowledge (python or R) Statistics and maths Database knowledge(SQL and NoSQL) basic understanding of big data Machine Learning and deep learning NLP or Computer Vision BI tools (tableau , powerbi etc) Thanks me later
Krish sir, I would like to make a request to you that as you are a lead data scientist I would like to request you to make a video regarding the whole procedure of how a data scientist works because as a common student we can not visualize how a real organization works with the data science. So I request you to please think about it. I have also seen that in most of your comments you didn't reply anyone, so if you reply I will think that you are gonna work over this plan. Thank you. Akash.
Skill Sets: Programming Language- Python and R Maths and Statistics Cloud Computing Services- Azure or AWS My SQL ML and DL and AI Big Data-Hadoop GITHUB Repositories Model Deployment Techniques Devops Basics- kubernets, dockers
Sir, can you please do a simple project where everything is included like dB , data Science etc., or provide me the link for this type of working code that’s already there..., I’ll be pleased. Thanks a ton in advance! Stay blessed and keep the good work up!
Hey Krish, u r just amazing bro, ur honest advice on the job mrk n their expectations n required skill sets will help millions of job aspires globally, that is a gr8 service to mankind, keep up the spirit, thank you.
Sir, I'm going to be honest with you. I'm eighteen and I've just joined a Data science course. This video terrified me, suddenly it seems very overwhelming. Do you have and pro tips to people just starting out in the field? Im learrning to program for the first time right now, I dont know how I'm ever going to learn sooooo much.
I'm 3rd year engineering student. Actually I had a year drop in btw which means l'l complete my engineering in 5yrs. Ive completed certified Data Science Course. I know ML very well. Ive created projects on ML. Im working on my Competitive Programming. I want to know, Can I get job as a Data Scientist as a Fresher. Would love to hear back from you. Thanks ❤️
Hi Krish, Thanks for the wonderful video. Though many of the viewers would have appreciated your videos and lectures, so I would just like to add that your explanation is different as you make to the point description, neither more nor less, only relevant content with a simple language.
Could you sir tell us from starting level... A to Z... All in one... Data Science course... Which portal which course I would enroll for ? Could u tell us... Please
I totally agree but everyone doesn't get a chance to work on all these stuff. One can learn on his own but what about corporate experience. How can one get that. Someone has to give chance.
Hi Krish... Great video as always! Just 1 question.. for someone working in the stock markets and is exploring/learning Alog-based trading and investing, is learning Deep Learning necessary/advisable? Or is data science and the rest of Machine learning(excluding deep learning) sufficient? Thank you!
im planing to buy a laptop with 1660ti but im bit confused because 1660 ti has no tenser core should i buy it or not....... which is better for deep and michine learning... plz replay....😭😭😭😭
Which one i should join to become a data scientist. From last 8 years i m working as an instrumentation engineer in oil and gas.. Can i join you..?? Will it be an intelligent decision for me to switch my carrier. Because more i cant work in my own field. Data science compelling me to join .
On a scale of 1 - 10, one being not so significant (basic understanding needed) and ten being absolutely mandatory (complete knowledge). How would you rate the following skills: 1. Git Repositories 2. Cloud computing services 3. DevOPS. Would be really helpful if you replied. Thanks.
Hi Krish, for freshers your contents are okay, but if you restrict yourselves to repeat so many time Data Science is too tough... lot of competition is there... This pathetic condition is everywhere, so being a technocrat your motivational statements work more... Regards. Data Science-Consultant
I HAVE COMPLETED MY MASTERS IN MATHEMATICS AND I M PLANNING TO SWITCH TO DATA SCIENCE , WHAT WILL BE BETTER , MTECH IN DATA SCIENCE AFTER GATE OR SOME PROFESSIONAL COURSE ?
Im a biomedical engineering degree holder, so I decided to do a master in data science related to image processing or biostatistics. Do you think this will be a good idea ?
Hi sir i am from b.sc cs in that maths is not more to learn data science more maths is needed how can i start the data science after learning maths or after finishing some concept of data science
I want to change the job domain and come to this data science domain. I learning this but I am facing to get project related to deep learning and computer vision. I need some sample project to understand the programming. Where I can get this sir?
@@krishnaik06 sir i checked but no sequences are there i mean m new to this। So which play list should i watch first ,,, numbering karke upload karna chahiye sir
Thanks a lot for sharing.. I am a graphic designer strong with design visual skills frm media background 10 years.. What job profile would be best for me then here to learn????. Also Many industries have age criteria after certain age then dont hire u. How does age factors work here when a old 45 age fresher works under 25 age experienced person???
How is the new online BSc in Data Science & Computer Programming from IIT Madras? Please can you review this course w.r.t content and the market requirement today. Thanks 🙏
Sir, how long u have been working in this field did you start ur career as a data scientist or u came in this after.doing something, i mean what is your total work experience the hole experience.
Dear Krish Naik Sir i got a task to do some work in (WEKA) but unfortunately i watch alot video but i could not sort out my issue by watching these videos kindly help me
Something is scalable if it works on large datasets or on large systems just as well as it works on small datasets or small systems. Let's start with an example that's not related to code: your personal attention. You can give personal attention and be a good friend to only a small number of people. If you try to "scale it up" to a lot of people, you can't do a good job at it. You just don't have the time for it. So true personal attention and true friendship are not scalable. 😊 When it comes to data science, you can have a project that works well on a small dataset, a small pipeline, or for a small number of users. If the project fails when it's used for large datasets, large pipelines, or large amounts of users, then, most likely, either: 1. it wasn't scalable 2. it needs to be redesigned to be scalable. I hope that helps a bit. 😊
HI ...! sir, This is Sundeep . I'm looking to start data science . As my career .. i completed learning as python full stack developer at present im working in bpo @Banglore can u help me to start data science to make a change in my career
Sundeep Troy there is an institute in marathalli called DVS technologies . They teach data science in an awesome way. I have learnt there . For more details u can visit and get the details
Start with the fundamentals: 1. data sampling 2. statistical distributions (eg. normal, binomial, Poisson, etc) 3. EDA (exploratory data analysis) 4. hypothesis testing 5. regression, prediction, classification then move on to advanced topics like Bayesian statistics, statistics for machine learning, etc. There are many free textbooks online. Here are some examples: 1. Introduction to Statistics, by David Lane. (onlinestatbook.com/2/index.html) 2. Introductory Statistics by Barbara Illowsky and Susan Dean (openstax.org/details/books/introductory-statistics) 3. An Introduction to Statistical Learning by by Gareth James, Daniela Witten, Trevor Hastie and Rob Tibshirani (faculty.marshall.usc.edu/gareth-james/ISL/) 4. The Elements of Statistical Learning by Trevor Hastie, Robert Tibshirani, and Jerome Friedman (web.stanford.edu/~hastie/ElemStatLearn//) Books 1 and 2 are beginner level. Books 3 and 4 are advanced (plus the examples are implemented using R not Python), but it's definitely worth taking the time to read and understand them. My advice is to start with some problem from Kaggle, and use the datasets for that problem to apply what you're learning in statistics. (Of course, do the exercises from the textbooks too). Also, don't get discouraged by how much you have to learn. It will be slow going at first but, if you take the time to truly understand what you're learning, things will get faster and easier soon enough. 😊Best wishes to you.
Keeping it simple. I have written in sequential form that tells what we are gonna learn from them. 1. Conditional Probability > Bayes Theorem > Naive Bayes Classifier 2. Gradient Descend > to get optimal m&c value from y=mx+c > used in regression 3. Mean,Meadian,Mode > Variance,Standard Deviation > Optimal Least Square, R2 4. Variance > Covariance > Correlation,Multi-collinearity,Auto-Correlation 5. Variance > Homoskedesticity, Heteroskedesticity 6. Normal distribution > Standardized Distribution 7. P-value,Confidence level > Z-test(standardized score), T-test, F-test(aka, ANOVA) 8. Linear Regression > logistic regression(sigmoid func.) 9. Matrix > Eigen vector > Eigen values 10. Quantiles Just google these topics, I prefer analyticsvidya.com or towardsdatascience.com for beginners.
Hi sir could u pls tell me the AI course u are going to start on Feb 22nd for that we have to want some programming knowledge kindly pls request my query sir I'm from a non cs/it background
Any best online classes to learn data science.. or are u giving training. I am with zero knowledge in data science. I am java developer with 5 years experience..
