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Start Your Data Portfolio Project RIGHT (Hiring Manager Explains)

Christine Jiang 11,872 lượt xem 1 week ago
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MENTORSHIP
Applications are now open for the Spring 2025 cohort of my mentorship program! Group info sessions with me are starting in the next few weeks - apply at https://theanalyticsaccelerator.com/. Excited to meet you soon!

ABOUT THIS VIDEO
Most data portfolios fail before they even get started—because they use the wrong data.

If you’re relying on Airbnb, Superstore, or bike-sharing datasets, your portfolio isn’t proving you can do real-world analytics work. Hiring managers see these projects all the time—and they don’t stand out.

In this episode, I’ll show you how to:

- Find business-relevant datasets that reflect real analyst work
- Avoid the #1 mistake that makes portfolios look amateur
- Define a clear project scope so your analysis is structured and impactful

A strong portfolio starts with the right data and the right focus—let’s get it right from the start. Watch now and follow along in the series!

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://bit.ly/3LodfYs
- Apply to the next cohort - https://theanalyticsaccelerator.com/
- Follow on LinkedIn - https://linkedin.com/in/christine-jiang
- Instagram - https://instagram.com/cjiaang (my photography, because why not)

Timestamps:
0:00 - Introduction
1:05 - Step 1: Find Business-Relevant Data
7:26 - Step 2: Define the Scope
10:32 - Step 3: Connecting the Technical Tools

Video URL: https://youtu.be/HfPPuSGkRK0

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