Updated Skills For Data Science Based On Experience In 2022

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[raph]

Good video! Why not split it this way.
Beginner(data analysis)----SQL, EXCEL, POWER BI, TABLEAU, and Python
Intermediate(Data science)---Machine Learning Algorithm and deep learning(sklearn, KERAS, Tensorflow, streamlit etc)
Advance(Machne Learnng OPS)----MLOPS, CLOUD, BIG DATA, Data Engineering

[sinha]

19:00 - "If you give around 6 month time, daily 3hrs, you will know the majority of Data Science".
True every bit of it.
Standing after 6 months, I can say every bit of this line is true. What I know of Data Science now is because of this channel.

[balive]

Hey Krish. I wanted to give you some feedback/ideas for the way you present these in the future. You obviously have an enormous knowledge of the data science sphere and provide a good roadmap to learning it. In practice, I haven't seen jobs which uses all of the data science skillset. From my experience you could divide DS jobs into several main categories with each of these needing a portion of the skills. For example:
1) In finance - they mostly use data scientists as analysts and focus on visualization skills. Almost no ML etc. needed.
2) In testing/research - the skill set needed is mostly based on the stats side, A/B testing etc.
3) In your "model building" roles - this is where the really cool parts of DS come in where you need ML, maybe CV, deep learning etc.
4) ML Dev side - More of a software developer who needs to know about building models in software, maybe towards deployment on the ML Engineer side too.
For new people looking to get into it and worried about learning all of this, maybe you can divide it by "what type of data scientist they want to be" rather than a road map to learning everything. It would seem less overwhelming and prepare them well for the job they'll get.
Thanks for another great video!

[arjun]

Your videos really helped to make notes concisely and the interviewer was impressed…got at job at EY so thanks a lot and keep bringing more videos for experienced as well

[paraspavasiya]

Thank you Krish. I have watched your last years DataScience roadmap video few days back and started to learning from your playlists and then today just saw your updated roadmap video.. Thank you.. Keep doing good work 👍..

[ramakrishnabendalam]

Tq very much sir
For your valuable contribution for youth of india

[nishudhanlunkad]

What a fabulous start for 2022..Thanks you sir for your continuous efforts.. We'll definitely make it up up to the mark

[sinagamlavanya]

Thankyou very much Krish🙂 your way of guiding towards data science is fantastic.

[akshaymondal]

Sir can u make a separate video on how to improve communication and story telling skills .. must needed ..
Plz like who agree ..

[imranroshan]

I love this video
i really need this

[rohitkhotpal]

Sir can u upload a video about how to make ppt from complete n to n project.

[sadiahshaikh]

Thankyou so much for such an informative video!

[ajayramteke]

Why we use logistic regression as a meta learner In stacking ensemble technique,
Can u answer this question plz..

[lungsdetoxification]

Love the content
Please declare a particular day for questions of beginners like me
It will help us alot 😍

[riyagupta]

Please make a playlist on how to deploy ML model with django

[gauravfamily]

Thank you. Pls explain also about projects.

[raghavanb]

Thank you very much sir . Your contribution to this community is really immense and appreciated. It would be much more beneficial if you put future videos dedicated to college students who are aspiring to get into this field. If you suggest some projects in data Analysis would also be useful. By the way love your contents.

[akshaychaurasiya]

all articles say data scientist are in demand etc etc but there are no jobs available, why is this happening?

[anandparanjape]

Krish, your videos are awesome and will by far motivate everyone who have a soft corner for data science, but for guys like me with non-technical background (I am a Chartered Accountant by profession) with around 8+ years of experience into Banking domain, can you please help in understanding how do we get there and what all skills are important for someone like me if I wish to transition into Data Science domain or apply data science technique into my current domain to get class apart output.

[zarakikenpachi]

What is the duration of the DS course at one neuron?