
Christine Jiang
チャンネル登録者数 2.92万人
4506 回視聴 ・ 282いいね ・ 2025/08/14
MENTORSHIP - Applications for the Winter 2025 mentorship cohort are now open!
Apply here → theanalyticsaccelerator.com/
🎬 We’re looking for a video editor! → 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
Feeling less confident the more you learn data analytics? You’re not alone – and it’s actually a good sign!
In this video, we’ll cover:
• Why the “Valley of Oh Crap” happens to every aspiring analyst
• How to connect your skills to real business problems
• Practical ways to climb out of the dip and build lasting confidence
Watch now to turn uncertainty into your biggest growth stage.
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 - bit.ly/3LodfYs
Apply to the next cohort - theanalyticsaccelerator.com/
Follow on LinkedIn - linkedin.com/in/christine-jiang
Instagram - instagram.com/cjiaang (my photography, because why not)
Timestamps:
0:00 - Introduction
1:19 - The Ignorant Peak
2:39 - The Valley of "Oh Crap!"
4:43 - Building Real Confidence (3 Steps!)
5:30 - Step 1
5:53 - Step 2
6:35 - Step 3
7:15 - Climbing Out of the Valley & Action Item 1
8:27 - Action Item 2
9:39 - Action Item 3
Video URL: • The Obstacle EVERY Aspiring Data Analyst F...…
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