Reality Of Data Science Work- What We Learn Vs What We Work In Industries

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In reality, data science work often involves more data cleaning, preprocessing, and feature engineering than the more glamorous tasks like model building and deployment. The difference between what is learned in academia and what is practiced in industry is often due to the emphasis placed on different aspects of the work, with academia emphasizing the theory and industry emphasizing practical applications and problem-solving. Additionally, data privacy and ethical considerations are often not addressed in detail in academic settings, but are crucial in industry.
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30 янв 2023

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Комментарии : 61

@superdeveloper Год назад

True. Platform difference will always create new learning curves. Same idea but different patterns with the tools.

@afshanmanikpethe5469 Год назад

Absolutely Right sir 👍 very nice initiative to understand the real time projects

@moidamer281 Год назад

I worked at Quantiphi as ML Engineer. There they exclusively use GCP and google tools for the pipeline. Then i switched and in my current organization we use AWS and other tools without any vendor lock-ins.

@datascience4336 Год назад

Bhaiya mera job laga digye n

@mohit_hada Год назад

Hey Amer, I am a big data engineer right now, can you please help me with roadmap that how I can be an ML engineer? I mean I should work on open source or start with ML basics and then learn cloud platform tools. That will be really helpful if you can guide

@moidamer281 Год назад

@@mohit_hada Python is a must. For MLE You should learn the whole lifecycle of data science projects starting from getting the data. (good if you know data cleaning and wrangling etc but usually there will be a data engineer or DE team to do so). And you should also know deployment. Good if you know flask or steamlit etc. (Steamlit is used only in POCs .) On cloud front your should know how to do deployment etc

@jamesang8735 Год назад

Thank you krish. Your videos are really helpful. Appreciate it.

@saikamireddi2323 Год назад

Your explanation was amazing. Now iam realised. Thank u very much krish

@abhijeetjain2098 Год назад

That's we need .. thank you sir

@nipunshetty9640 Год назад

Realistics Great work Sir

@imdeepu7855 Год назад

Thank You Krish for really informative videos like this. keep go.

@itsMohak Год назад

You are always excellent.

@ayambasumailaimoro2082 Год назад

Thank you so much for wonderful advice.

@TheMISBlog Год назад

Very useful Video, totally agree with you sir

@iwasmadetoworship3129 Год назад

Thank you for the Video love you krish naik

@mohit_hada Год назад

Hello Kris, I am a big data engineer but want to pivot too ML engineering rules, so what should be my roadmap? I should go with ML basics first and then some cloud platform, or should learn opensource only.

@ahmedhamza3939 Год назад

thank you for your information , in your opinion and commentators opinion also how long does it takes to learn model deployment and cloud ,because i spent one to two years to learn basics like math probability ,stats, and machine learning deep learning unsupervised learning ...etc with heavy details from both ,probabilistic and normal approach , i deployed one or two projects only but i don't know how to deploy in for example AWS , in your opinion how does it take to learn such tool to be able to get a job ,

@aloo_explains Год назад

Hello sir, can you share some resources that we can use to learn CI/CD pipeline tools, or AWS tool indepth.

@tanzeelmohammed9157 Год назад

SIr, I will be making a transition from mechanical to Data science this year. I want to will I be provided any training sort of thing as fresher in this field? Or am I on my own?

@jamespaz4333 Год назад

Hi Krish. Once again, thanks for sharing your savvy with us. I have one question, I want to start learning one cloud platform to how to deploy ML Models. Which one would you recommend in terms of costs? Thank you.

@alexaaron9600 7 месяцев назад

I feel AWS would be perfect for initial stages of deploying ML models

@rahul2506 Год назад

Sir ji, tech neuron pls content kb la rhe hai 🙏

@laxminarayangaidhane7116 Год назад

Sir are you going to launch new industry ready project class?

@mahikhan5716 Год назад

Krish we have seen everything like the common things but we would like to have a course following the industrial basis

@Vintagetube310 Год назад

What is ci/cd pipeline and deployment? Please explain thank you

@shilpabhola8622 Год назад

Hi Krish , i viewed that vedio , just please guide that i wanted to start my carrier into in data science but i had worked since 4 years in HR but i was from Btch (cse) background and now i take a long gap due to some reson but if i again join the market than i want to go into in IT that's why i have selected data science so let me know how i can start that.

@aakashpal0777 Год назад

👍

@AKASH-th8gl Год назад

Sir do you teach in skill development program by physics wallah? Because i have seen you in one of the YT shorts advertising that🙄

@ruzkazayka Год назад

sir I'm fresher, can you please tell me .As a fresher in which tools I have to focus more on it, So that i got selected in the interview.

@AbhishekTiwari-rg9hq Год назад

sir main fresher hu abhi mujhe data analyst ke domain pe kam karne ke loye it sector mein frasher ko hire hi nahi kar rahe hai kuch aisa bataye ki frasher bhi data nalyst ke domain pe kam kar sake

@nagrajwellness9720 Год назад

Sir im currently into devops sir can you please tell me how to create ci cd and kubernetes in data science project sir it will be helpful for me after 2 years to shift to data science

@lokesh7682 Год назад

Sir what is the starting Things to learn in data science

@sunilmothukuri Год назад

As i saw, it's already started on 28th Jan, will i be able to access the video past 3 days.

@krishnaikhindi Год назад

yes

@memesearch5361 Год назад

Hello sir, there is not available any lecture on pw Impact batch. What's the problem?

@krishnaik06 Год назад

The videos will be uploaded in scheduled wise daily...currently till Tom live class is going on

@rishukumar1782 Год назад

Bro is lectures available on you impact batch

@memesearch5361 Год назад

@@rishukumar1782 if there have any wp group, please join me.

@minhazshaikh4668 Год назад

What's the difference between data warehousing and data science?

@Sairam-we5wl 11 месяцев назад

Hi ,I am working on projects as I am statistics student , for project I want real time data from any company like Novartis,. Bajaj , Ipsos, Sutherland, sas , so that I can use ML techniques to boost models and I can update model time to time when I get updated data from any company ,So can I get data from company , please tell the method to get it....

@adityajadhav2325 Год назад

Sir I am a B.E Final Year Student I want to do master's In Data science but I am confuse that should I do it from abroad (Uk/AUS) or while doing a job I should go with UpGrade Masters Program ..., what you will suggest me to do

@abhishek.p8744 Год назад

I recomend not to go with upgrad it's not that worth

@JoEl-jx7dm Год назад

Also someone please explain this scenario 'Is it possible to do master and work on a data sceince field as your part time job' so you could gain experience whole you learn?

@schrodinger4422 Год назад

Sir, how to look for Data Science jobs and apply on our own, without placements???

@shabink7363 Год назад

Why is there a tech hiring freeze?

@VaidicVasundhara Год назад

Sir I'm 2022 passout batch student a Preparing for gate but I think this year I can't get rank So I'm thinking to learn data science so Should I give 6months to data science will 1 year career gap will matter alot in placement? Help me please

@devendramarale3758 Год назад

Sir are you data scientist or data analyst ?

@sngamingultra136 Год назад

Sir I want to learn ML from you is it possible?

@sunnyahmed5935 Год назад

Will AI replace data science jobs?

@radhikakataria1823 Год назад

I have learnt c,c++,dsa using c++.my ques. Is--- will i get job in IT industry as a fresher??if no,then what i should learn ,next??? Please reply. @Krish Naik sir