Description
This is the episode where we are going to risk our career, our wellbeing, and all the professional reputations we have built over the years to talk about this ultra-sensitive taboo topic: office politics in data science
Seriously though, we have seen many data scientists who don't want to hear or learn about politics. And as result, they often hit invisible walls in their careers and become very frustrated. That's why we are sharing some mental models we use to think about and deal with politics so that you won't go down that path.
Meanwhile, if you are not a data scientist yet, but want to become one, you should really attend our webinar. We will demystify the transition into data science. We will show you the most effective way to build your skills. And we will advise you on the four possible options you can take to go from where you are to landing a data science job in as little as 9 months. Find out more here.
We are trying out a different format in this episode. Nima gave me a topic, which is Central Limit Theorem. I spent an hour learning about it. And then we have a little chat. You will hear why we are doing this in the episode.
And if you like this format, please send us an email at hello [at]...
Published 06/20/22
When we talk to people who want to transition into data science, we hear this question popping up more and more: what is the difference between a data scientist and a machine learning engineer, and which one should I choose?
In this episode, we talk about why the separation between these two...
Published 07/02/21