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.
D3 by Observable | The JavaScript library for bespoke data visualizationGitHubTwitterMastodonSlackLinkedInYouTubeGitHubTwitterMastodonSlackLinkedInYouTube
d3js.org
Data-Informed Product Building
medium.com
Data Teams: Kill Your Service Desk
towardsdatascience.com
Introduction to Probability for Data Science
probability4datascience.comWeekly Metrics Review and our KPI Infrastructure At a company like Quora, metrics get used for a wide range of purposes. One of the most...
chris luhrsquoradata.quora.com
To 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.
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
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