A few practical tips on how to keep on learning during your daily job
11 hours ago
While I know it might sound like a cliché, being a data scientist often involves having the mentality of a lifelong learner. The field is developing so quickly that it takes time and lots of effort to stay up to date with the latest developments, whether it’s the state-of-the-art ML model, a new data manipulation library, or a just-released arXiv paper you’d love to implement. No wonder so many of us (myself included) suffer from imposter syndrome.
And while nowadays there are many opportunities to learn, our most precious resource is time. We can’t (or at least shouldn’t) spend most of our waking hours working and learning, as we would risk burning out quite quickly. So that’s why in this article, I would like to focus on the development possibilities during your 9 to 5 (or any other time range that applies to you).
I know that each company is different, and there is a high chance that you might already employ some of the things I mentioned here. And that’s great! From my side, I’d consider this a success if you find at least one new idea on how to keep learning.