data science
Jilber Najem and
data science
Introduction to Probability for Data Science
probability4datascience.comLavender - The #1 AI Sales Email Coach
lavender.ai
D3 by Observable | The JavaScript library for bespoke data visualizationGitHubTwitterMastodonSlackLinkedInYouTubeGitHubTwitterMastodonSlackLinkedInYouTube
d3js.org
A/B Testing Metrics: What You Need to Know About Success, Driver, and Guardrail Metrics!
youtube.comEmma Ding
youtube.com
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 moreWhenever 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.
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.