data science
Jilber Najem and
data science
Whenever you’re learning a new tool, for a long time, you’re going to suck… But the good news is that is typical; that’s something that happens to everyone, and it’s only temporary.
“Your data is only relevant in so far as it matches your (research) question”
- Dr Laura Bronner
Where data teams go deeper, faster | Observable
observablehq.com
Writing is a critical skill — perhaps the most important — of all the skills required to analyze data. The only way to get better at writing is to write, ideally every day.
Rohan Alexander, Telling Stories with Data
Lavender - The #1 AI Sales Email Coach
lavender.ai
D3 by Observable | The JavaScript library for bespoke data visualizationGitHubTwitterMastodonSlackLinkedInYouTubeGitHubTwitterMastodonSlackLinkedInYouTube
d3js.org
The Ultimate Guide to Cracking Business Case Interviews for Data Scientists (Part 2)
towardsdatascience.comPatterns 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
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