Interviewed by @mikedelgado, Social Media Director @Experian
She shared her insights on collecting data, choosing a database model and strategies for validating assumptions.
She stressed the importance of acknowledging any biases we might have when starting to work with the data.
She says, unfortunately, you can make data say whatever you want by manipulating it to tell your biased story. This is where data ethics comes into play.
She also gives great advice for anyone interested in wanting a career in data science -- and advice for data science leaders looking to hire the best talent.
#DataScience #BigData #MachineLearning #Data #Coding