A thoughtful approach for building your Data Science skills and portfolio.
Learning Data ScienceA thoughtful approach for building your DataScience SkillsAmit & Bargava
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Data Science as a Craft
Art - Craft - Science
craft | krɑːftnoun: An activity involving skill in makingor doing things by hand
How do you learn a craft?
Seek Inspiration
Start with Basics
Do Repetitions
Conduct DeliberatePractice
Focus on Mastery
Learning Data ScienceTen guides for skill building
ShailiiUnderstand your learning style.Choose the right approach - Hacker v/s Structured. Online v/sClassroom. Self-driven v/s Mentor-driven.
SanghaFind your own community.Most of our learning happens through peers. Find a set of datascience peers that you can engage with.
GunasUnderstand the basics.Start with learning the math & statistics needed. Build anintuition on how the algorithms & the libraries work.
PrakeranaLearn the data science processGrok the approach to problem solving with data - Frame,Acquire, Refine, Transform, Explore, Model & Insight.
AbhyaasPractice, Practice, Practice.Repeat the data science process multiple times on differenttypes of problems.
RuchiDo projects that interest you.Pick from work domain, sports, economics, public policy etc. Youare more likely to stick through the arduous journey of doing it.
PradarshanCreate a public profile.Share what you do so people can connect with you. Create apublic portfolio on Github or a blog or website.
PratikriyaGet Feedback.Put your work out there. It could be a small analysis,visualisation, a mini-library. Nothing is too small to share.
RachitCreate a Data Science Portfolio.Work on at least 6 - 8 different projects over the next 1 year tobuild a portfolio of projects across topics.
LaayaFind your own rhythm.Build and do something every day, week or month. Find yourown cadence and start creating.
Advice for Beginners
Amit Kapoor@amitkapsamitkaps.comBargava Subramanian@bargava