Think Like a Data Analyst - Create a Standout Project Write-Up | Data Analyst Insights

👉 MENTORSHIP – Applications for the next cohort are open! Apply here → https://theanalyticsaccelerator.com/ ABOUT THIS VIDEO The GitHub ReadME of your portfolio projects is one of the most critical ways to make your work stand out to a hiring manager. In this video we talk about the overall structure, format, and language you should use in your ReadMEs to represent the work of an experienced data analyst, based on the write-up template that helps students in my mentorship program land their first data job. Stay tuned till the end for some practical tips on how to immediately improve your GitHub! 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 the ReadME template here - https://bit.ly/3XGTrX9 - Get more tips in my newsletter - https://analyticsaccelerator.kit.com/join - Apply to the next cohort - https://theanalyticsaccelerator.com/ - Follow on LinkedIn - https://linkedin.com/in/christine-jiang Timestamps: 0:00 - Introduction 0:21 - In Today's Video 1:13 - Hiring Manager POV 1:52 - Key Principles 2:44 - ReadME Structure 3:35 - Background and Overview 5:12 - Data Structure Overview 6:10 - Executive Summary 8:25 - Insights Deep Dive 9:19 - Recommendations 10:29 - "So What" One Click Away 11:06 - More Ways to Stand Out Video URL: https://youtu.be/vgZuTpOj9fE