Niket Kedia Profile picture
Jan 31 4 tweets 1 min read
There are 2 kind of skills needed in any job.
1. Hard skills
2. Soft skills

Data science is no different and require hard and soft skills as equal in any of the industry.

Few of the skills needed in Data Science.

Check it here 👇
⚙️ Hard Skills
💡 Programming and Specific tools skills (R, Python, SAS etc.)
💡 Algorithm, Mathematics, Statistics and Probability knowledge
💡 End to end data science project life cycle(Gathering, Cleaning, Preparing, Modelling and presenting)
💡 Upgrading to new technologies
🔣 Soft skills -
💡 Effective Communication
💡 Business acumen and knowledge
💡 Curiosity and Critical thinking
💡 Intuition
💡 Problem solving
💡 Presentation/storytelling
💡 Awareness/research
💡 Flexibility
💡 Time management
💡 Attention to detail
💡 Networking
Soft skills are hard to master. Need practice and takes longer than hard skills to learn.

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More from @niketkedia

Jan 30
Few amazing R experts and industry leaders to follow on Twitter and learn Data Science from them.

Twitter is free university. Do follow and learn from them.

👇Follow them
🌟Alastair Rushworth - @rushworth_a
🌟Alison Presmanes Hill - @apreshill
🌟Allison Horst - @allison_horst
🌟Amelia McNamara - @AmeliaMN
🌟Caitlin Hudon - @beeonaposy
🌟Cédric Scherer - @CedScherer
🌟Elaine McVey - @eamcvey
🌟Emily Riederer - @EmilyRiederer
🌟flotsam - @researchremora
🌟Georgios Karamanis - @geokaramanis
🌟Gina Reynolds - @EvaMaeRey
🌟Hadley Wickham - @hadleywickham
🌟Isabella Velásquez - @ivelasq3
🌟Jenny Bryan - @JennyBryan
🌟Keith McNulty - @dr_keithmcnulty
🌟Kelly Bodwin - @KellyBodwin
Read 7 tweets

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