While strengthening my theoretical foundation, I’ll start familiarising myself with the basic tools to run data science projects. The good news here is that most of these are open source, freely available on the internet and well used by the global data science community.
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Checkpoint Alfa: Theoretical foundation
Mathematics and statistics are the core foundations of data science theory, and I’ll start with a few key topics to build a strong theoretical base for my learning journey.
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Getting from here to there
Progress is made one step at a time, and the trick is to keep moving. This is my first stab at mapping out a data science learning journey. Ikimasho!
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Trip planning: Snow, sushi and onsens (Japan Winter 2021)
The last time we were in Hokkaido was in 2015. It was a group tour where we were bused around and didn’t get to spend much time at each stop. For our return visit, we’ve decided to go free-and-easy and add in a trip to Hakone and stay at a traditional ryokan.
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A taste of the Greek islands in Singapore
The first sight that greats you is an ice-filled tray of fish specially flown in from Greece. I leaned in subtly for a smell test, fully expecting a whiff of wet market fragrance, but got nothing instead. Fresh and not jet lagged, exactly how I like my fish.
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Begin with the end in mind
I’ve always been a firm believer of knowing where you want to end up before starting on any meaningful journey. One of the things I’d like to achieve is to be a practising data scientist. Here are some of the key skills I’ll need.
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Fire starts at 46
It’s the year 2020 and I’m 46 years old. Having completed my annual financial review for 2019 and double (and triple) checking the numbers, I’m officially joining the Fire Movement.
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