I think the message in Data Science needs to be: Don't believe everything you read.
I'd like to thank Rafael Nicolas Fermin Cota for pointing me to this modified graphic from a recent Harvard Business Review article.
Here's my take. 🧵
#datascience #rstats
I'd like to thank Rafael Nicolas Fermin Cota for pointing me to this modified graphic from a recent Harvard Business Review article.
Here's my take. 🧵
#datascience #rstats
Harvard Business Review wrote an article on "Prioritizing Which Data Skills Your Company Needs".
This couldn't be further from the truth.
hbr.org
This couldn't be further from the truth.
hbr.org
You hear Harvard Business Review, & you think this must be legit.
Well, in this case, they dropped the ball.
If you're coming up with an educational plan for your org in 2022, here are 4 tips that helped me...
Well, in this case, they dropped the ball.
If you're coming up with an educational plan for your org in 2022, here are 4 tips that helped me...
1. Focus on #stats - This the precursor to everything & will help you tremendously
2. Learn how to work with #Data - #DataCleaning and manipulation is 90% of what you will do
3. Build skills in #DataVisualization - This is a cornerstone of understanding, yet many ML specialists can't do it
4. Skip over buzzwords until after you learn fundamentals - AI, Data Science, ML - You'll get to these after you learn stats, data manipulation / data cleaning, & data viz
And if you are learning data science and feel as lost as I did when I first started, then I can help.
I put together a free 40-minute webinar that is value-packed with the 10 most important secrets that would have saved me countless hours.
learn.business-science.io
I put together a free 40-minute webinar that is value-packed with the 10 most important secrets that would have saved me countless hours.
learn.business-science.io
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