data science

Jilber Najem and

Why do Experiments Fail? 30 Learnings

Eugene Segal thegrowthloop.io

Jilber Najem

Emma Ding

youtube.com

Jilber Najem

Be Good-Argument-Driven, Not Data-Driven

twitchard.github.io twitchard.github.io

Jilber Najem

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

towardsdatascience.com

Jilber Najem

D3 by Observable | The JavaScript library for bespoke data visualizationGitHubTwitterMastodonSlackLinkedInYouTubeGitHubTwitterMastodonSlackLinkedInYouTube

d3js.org

Thumbnail of D3 by Observable | The JavaScript library for bespoke data visualizationGitHubTwitterMastodonSlackLinkedInYouTubeGitHubTwitterMastodonSlackLinkedInYouTube

c4ss1us [l1f3]

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

public-apis github.com

Jilber Najem

A/B Testing Metrics: What You Need to Know About Success, Driver, and Guardrail Metrics!

youtube.com

Jilber Najem

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

Johann Van Tonder

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

Johann Van Tonder