Don't be a .fit() Data Scientist

We've put togther a list of our learning from over a decade of industry experience. If we were starting out again this is what we would do differently. We've choosen these resources because they have more of a slant towards being useful in industry instead of just therortical

Lists and more lists

Add copy for lists. We've choosen these resources because they have more of a slant towards being useful in industry instead of just therortical

Most Common Mistakes Data Scientists face when presenting results to business stakeholders

In this section you'll learn about some of the common traps which I used to make or saw other DS making when presenting to non-techy stakeholders.

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