data science

data science

Jilber Najem and

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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Johann Van Tonder

Ultimate Repo for Data Teams

notion.castordoc.com

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Introduction to Probability for Data Science

probability4datascience.com

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GitHub - public-apis/public-apis: A collective list of free APIs

public-apis github.com

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D3 by Observable | The JavaScript library for bespoke data visualizationGitHubTwitterMastodonSlackLinkedInYouTubeGitHubTwitterMastodonSlackLinkedInYouTube

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The Ultimate Guide to Cracking Business Case Interviews for Data Scientists (Part 2)

towardsdatascience.com

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Lavender - The #1 AI Sales Email Coach

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JJohann Van Tonder

“Your data is only relevant in so far as it matches your (research) question”
- Dr Laura Bronner

Why do Experiments Fail? 30 Learnings

Eugene Segal thegrowthloop.io

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