Learning Data Science - Speaker Deck

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Learning Data Science A thoughtful approach for building your Data Science Skills Amit & Bargava

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Data Science as a Craft

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Art - Craft - Science

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craft | krɑːft noun: An activity involving skill in making or doing things by hand

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How do you learn a craft?

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Seek Inspiration

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Start with Basics

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Do Repetitions

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Conduct Deliberate Practice

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Focus on Mastery

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Learning Data Science Ten guides for skill building

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Shailii Understand your learning style. Choose the right approach - Hacker v/s Structured. Online v/s Classroom. Self-driven v/s Mentor-driven.

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Sangha Find your own community. Most of our learning happens through peers. Find a set of data science peers that you can engage with.

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Gunas Understand the basics. Start with learning the math & statistics needed. Build an intuition on how the algorithms & the libraries work.

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Prakerana Learn the data science process Grok the approach to problem solving with data - Frame, Acquire, Reﬁne, Transform, Explore, Model & Insight.

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Abhyaas Practice, Practice, Practice. Repeat the data science process multiple times on different types of problems.

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Ruchi Do projects that interest you. Pick from work domain, sports, economics, public policy etc. You are more likely to stick through the arduous journey of doing it.

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Pradarshan Create a public proﬁle. Share what you do so people can connect with you. Create a public portfolio on Github or a blog or website.

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Pratikriya Get Feedback. Put your work out there. It could be a small analysis, visualisation, a mini-library. Nothing is too small to share.

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Rachit Create a Data Science Portfolio. Work on at least 6 - 8 different projects over the next 1 year to build a portfolio of projects across topics.

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Laaya Find your own rhythm. Build and do something every day, week or month. Find your own cadence and start creating.