Upskilling Diaries Ep 2 | Navigating the realities of working as a data scientist + sharing tips

[@EndoAshura]

Keep it going! you've got this.

[@candidlyvivian]

thank you Endo

[@PokeRayTube]

really enjoy your day in the life vids! & your matcha latte looking delicious 😋

[@candidlyvivian]

hehe thanks it was so good

[@tamaryny]

Love your aesthetic, it's so nice to see what a day looks like for other people in data science. If you don't mind sharing, what's your motivation in upskilling? Are you aiming for a promotion or is it more of an internal drive to be the best?

[@candidlyvivian]

oops I missed this message!! thank you for the kind comment and I'm glad you enjoy the video :) my motivation is to remain employable + keeping up with new technologies for whenever I move roles!

[@sarahlund7363]

I was here for the Lion King interlude 🤣💯

[@candidlyvivian]

AHAHA i was debating whether or not to include it

[@sarahlund7363]

I'm v glad you did haha!

[@MKK-l1m]

Really like your videos. Quick question, Is the company the company that dictate you where to work remotely or you can work anywhere in the world ? Thanks for sharing

[@candidlyvivian]

thank you! in my remote role, I can work anywhere in the world but I'm still employed by an Australian company. I've yet to take advantage of working overseas though haha

[@JohnnyTranMan]

How often should we be upskilling in data science is one hour enough

[@Thebubzlife]

Is there a lot of coding knowledge required or not in data science?

[@samiksha4524]

Coding is a tool for DS. You need to have your core strong which is maths and stats. DS is all about collecting data, making analysis and presenting the analysis in a way that everyone understands. For that you need coding. Cause if you don't know the maths and stats behind each coding project, you will surely feel overwhelmed. Start thinking coding as a tool to make your analysis more easy.