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How to Conduct Effective Data Analysis with Julius AI

Data Analysis
How to Conduct Effective Data Analysis with Julius AI

How to Conduct Effective Data Analysis with Julius AI

Hosted by Rahul Sonwalkar

How to Conduct Effective Data Analysis with Julius AI

Your current plan does not include access to this workshop.

Timestamps

[00:00] Kick off workshop, introduce Rahul and session goals
[01:20] Outline agenda: story, mission, and live demo
[02:32] Share Facebook/Uber data science inspiration
[03:04] Explain Julius’ mission: data science via plain English
[05:04] Walk through top use cases across industries
[06:02] Launch live demo with real cohort dataset
[07:21] Generate retention curves with one prompt
[08:28] Break down retention by plan tier
[10:01] Emphasize code reproducibility and auditability
[11:19] Demo real-time team collaboration features
[12:55] Analyze marketing data with instant charts
[14:23] Run clustering for customer segmentation
[15:38] Save and reuse analysis templates
[20:05] Enable point-and-click no-prompt insights
[48:09]

Your current plan does not include access to the rest of this workshop.