- ๐๐จ, ๐ฒ๐จ๐ฎ ๐ฐ๐๐ง๐ญ ๐ญ๐จ ๐๐ ๐ ๐๐๐ญ๐-๐ฌ๐๐ข๐๐ง๐ญ๐ข๐ฌ๐ญ? ๐๐๐๐ซ๐ง๐ข๐ง๐ ๐๐ค๐ข๐ฅ๐ฅ๐ฌ ๐ญ๐ก๐๐ญ ๐ฒ๐จ๐ฎ ๐๐๐ง๐ง๐จ๐ญ ๐๐ ๐ญ๐ซ๐๐ข๐ง๐๐ ๐๐จ๐ซ ๐ข๐ฌ ๐ฐ๐ก๐๐ญ ๐ฆ๐๐ค๐๐ฌ ๐ฒ๐จ๐ฎ ๐ข๐ง๐๐ข๐ฌ๐ฉ๐๐ง๐ฌ๐๐๐ฅ๐
There is an abundance of online content/MOOC’s that talk about technical skills that need to be picked up around Math, Programming and ML
They are good skill-sets – Absolutely.
But picking up skills that cannot be trained for is what makes you irreplaceable.
How do you build that knowledge?
I put together 7 fundamental questions you can ask yourself that makes you unique for today’s #2MinExplainer series
[That rarely is 2 mins long]
#datasciences
#SkillsThatCantBeTrainedFor
#reviewswithranjani
TL:DR :
- Why choose Data sciences โ Why does it matter to you?
- โNot all Data scientists are the sameโ – How do identifying areas that align to your strengths
- Did you know? – Day in the life of a data scientist
- Be an artist, not a painter
- Create a portfolio
- Making a transition or a break into the space as a beginner
- Solve Problems
โYou get paid in direct proportion to the difficulty of problems you solveโ
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