Exploratory Data Analysis Done RIGHT | Playbook Ep. 5

👉 MENTORSHIP – Applications for the next cohort are open! Apply here → https://theanalyticsaccelerator.com/ 🎬 We’re looking for a video editor! → https://bit.ly/46gfaJP If you (or someone you know) loves editing long-form educational YouTube content and want to work with me on videos that make a real impact, I’d love to hear from you! ABOUT THIS VIDEO In this episode of the Portfolio Playbook, we move beyond basic EDA and into the phase that actually shows hiring managers you’re ready: real insight. • Avoid analysis paralysis with clear project “North Stars” • Go from “what happened” to “why it matters” • Watch a live Tableau demo to uncover what’s driving change • Learn how to turn findings into clear, team-ready recommendations If you’re building a portfolio project that reflects real analyst thinking, this one’s essential. → Download the Gamezone dataset here: https://analyticsaccelerator.kit.com/... ABOUT ME If we haven’t met yet - hi! I’m Christine, a former data director and hiring manager helping ambitious career transitioners and recent grads land their first job as a data analyst. I'll be sharing the insights and strategies that empowered over 70% of job-hunting students in the first cohort of my mentorship program landed their first data job within 6 months, in today's super-competitive job market. If you want to become a standout data analyst through applied business skills, soft skills, and strategies for every part of the job hunt process - so that you can have confidence, professional leverage, and bring real impact to work - connect below for more insights and future workshops! LINKS Get more tips in my newsletter - https://analyticsaccelerator.kit.com/... Apply to the next cohort - https://theanalyticsaccelerator.com/ Follow on LinkedIn -   / christine-jiang   Timestamps: 0:00 - Introduction 1:43 - Business Context 4:07 - Exploratory Demo 5:27 - Sales Trends Over Time 6:33 - North Star Dimensions 9:00 - Investigating Sales 12:46 - Top Three Products 15:03 - Figuring Out the Why 18:12 - Documenting Insights 21:05 - Stakeholder Recommendations 23:04 - Caveats & Next Steps Video URL:    • Exploratory Data Analysis Done RIGHT | Pla...