2021-10-21 17:30:06
It took me 5-years to feel confident in data science. True story.
This is coming from a Matt Dancho, who has created two R packages that combine for 1.5 Million downloads. He trained elite data scientists at Apple, Walmart, Google. And has built a career teaching students how to become data scientists.
Why did it take so long?
Too many resources. I thought I had to learn everything. Deep learning. Machine learning. Algorithms. The toughest part was figuring out which tools to learn and which were “red herrings” (a waste of time). This cost me years going back and forth between R and Python, listening to too many people saying what they thought I needed to learn (and finding out they’ve never actually done half the things they are telling me to do).
Learning from bootcamps. I learned a ton of skills but I never used 90%. Worse, I didn’t know which 10% that were actually useful. Plus they didn’t teach some of the things that are absolutely critical.
I remember after my first bootcamp I struggled making a random forest because I didn’t know how work with features and format them right. This left me confused and unconfident. Set me back months.
Researching topics too in depth before getting started. I love learning, but there is a trade off with trying to master before applying. Masters become masters by making lots of mistakes and learning. Not reading about topics for weeks before applying.
9.5K viewsArtificial Intelligence, edited 14:30
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