4 common mistakes of junior data scientists and how to fix them
Providing too much details/over-explaining is so underrated it’s almost a career crime.
The more senior your audience, the fewer words you should use.
It’s as if the air gets thinner the higher you climb the corporate ladder: words are oxygen, so we should not waste them.
That’s a great analogy! Going to steal it next time :)
Glad for inspiring you 🙂
You nailed all the mistakes I did in the past, and when I wasn't so junior.
Being concise, having strong opinions, communicating clearly the why, etc. All of this is not easy but can be learned.
Thanks for the great post, Tessa!
Providing too much details/over-explaining is so underrated it’s almost a career crime.
The more senior your audience, the fewer words you should use.
It’s as if the air gets thinner the higher you climb the corporate ladder: words are oxygen, so we should not waste them.
That’s a great analogy! Going to steal it next time :)
Glad for inspiring you 🙂
You nailed all the mistakes I did in the past, and when I wasn't so junior.
Being concise, having strong opinions, communicating clearly the why, etc. All of this is not easy but can be learned.
Thanks for the great post, Tessa!