data science
Jilber Najem and
data science
Patterns when telling stories with data: - What is the dataset? Who generated the dataset and why? - What is the process that underpins the dataset? Given that process, what is missing from the dataset or has been poorly measured? Could other datasets have been generated, and if so, how different could they have been to the one that we have? - What
... See moreTo a certain extent we are wasting our time. We have a perfect model of the world—it is the world! But it is too complicated.
The Ultimate Guide to Cracking Business Case Interviews for Data Scientists (Part 2)
towardsdatascience.com
“Your data is only relevant in so far as it matches your (research) question”
- Dr Laura Bronner
IE Data Science Bootcamp – Leverage Data Science to Overcome Challenges
An overview of the IE Data Science Bootcamp, including the curriculum, participant profile, industry visits, capstone project, and testimonials.
docs.ie.eduConsidering this bootcamp
Where data teams go deeper, faster | Observable
observablehq.com
