“Hey, can you help me with this?”

Week two felt far easier than week one of Metis. The first week is understandably overwhelming. They say it’s like drinking from a fire hose. And I spent most of my energy trying not to drown — trying to make headway on a group project with an unreasonably tight deadline, attempting to absorb all the new information being thrown at me left and right in lecture, and working to complete my individual challenges. Add in navigating a new commute, meeting new people, and communicating in what is essentially a new language. Needless to say, it was a lot.

Why did week two feel easier? I didn’t automatically become a sponge or python guru overnight nor did I learn how to add hours to my day.

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Why data science?

I’ve recently left my research job to pursue a full time data science bootcamp at Metis. Some people have commented to me that this seems like a shift as I’ve worked in international development research the last five years. And they’re right that I’ve been reading and writing, not coding in Python. But that doesn’t mean data science is an entirely separate undertaking. To me, data science continues many of the threads that have been present in my work and life for years.

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