Good reads: A deeper dive into data science

Developers’ Roundup is a bi-weekly column on Tech in Asia on the best software development articles and resources across Tech in Asia.

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Last week, we shared a few tips and resources for those just starting to venture into data science. This week, we’ll be doing a deeper dive into the topic.

We start off with a concise breakdown of the key principles and and processes in data science, as summarised by Pradeep Menon, Cloud Solution Architect – Advanced Analytics and AI at Microsoft.

Pradeep has also contributed a series of articles on Tech in Asia that goes further into statistical learning, hypothesis testing, simple and multivariate regression models and more; do check it out!

These days, companies are increasingly reliant on data to make informed business decisions. We at Tech in Asia, for one, use data to deliver a good user experience across our conferences, apps and content. Our data engineer shares exactly how we’re building our data infrastructure.

However, this often comes at the expense of increased costs, volumes and processes. Suyash Katyayani’s team is solving just that, by creating a scalable, serverless data pipeline  at low operating costs that collects millions of data points each day. Here’s how they did it.

You might already be aware how useful data science is for businesses, but did you know it could even be used to learn a new language? That was is exactly what Tomi Mester used to learn Swedish – all with beginner-level data science. Try it out for yourself, his method works with every European language!

Being a data scientist might just be the sexiest profession you could land right now – just not so much in Southeast Asia. Due to the lack of opportunities here, data scientists are leaving the region to work overseas. Here’s how one data scientist is hoping to plug the gap.

With that, here are 2 opinion pieces to wrap things up.

Janani Sriram muses on how, as a data scientist, she learnt “to stop worrying and love the error”, while striving towards the ‘path of less wrongness’.

But with all that said and done, here’s why you might not even be a data scientist – at least not yet 😉

Looking for a job in data science? Search hundreds of data science jobs for free on Tech in Asia Jobs.