Iโve spent the last 10 years working as a data analyst, data scientist, and data engineer for some pretty cool companies like ExxonMobil, MIT, the Utah Jazz, and others. And the last 4, Iโve spent them teaching others how to land their first data job. My students now work at Apple, Amazon, Rivian, Tesla, and other cool companies.
Let me share the 13 things I wish I knew when I was getting started.
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โ TIMESTAMPS
00:00 Introduction
00:28 - 1. Your Skills Aren't Holding You Back
01:56 - 2. You Will Get Paid to Learn on the Job
03:25 - 3. You Don't Have to Know Everything
04:27 - 4. Who You Know Matters More Than What You Do
07:08 - 5. Your Domain Expertise Matters
09:20 - 6. Don't Take Job Rejections Personally
12:07 - 7. Data Job Titles Are Confusing
13:29 - 8. Data Tools Matter Less Than You Think
14:38 - 9. The Bookends of Analysis Are Most Important
16:14 - 10. How You Present Your Digital Self Is Important
17:42 - 11. All Industries Experience Cycles
20:11 - 12. Mentorship is the Shortcut to Results
22:11 - 13. You'll Never Stop Learning
๐ CONNECT WITH AVERY
๐ฅ YouTube Channel: https://www.youtube.com/@averysmith
๐ค LinkedIn: https://www.linkedin.com/in/averyjsmith/
๐ธ Instagram: https://instagram.com/datacareerjumpstart
๐ต TikTok: https://www.tiktok.com/@verydata
๐ป Website: https://www.datacareerjumpstart.com/
Mentioned in this episode:
1:1 Coaching w/ Avery
I've opened 12 slots on my calendar to do 1:1 coaching calls. What we can do: fix your resume (it may suck), audit your LinkedIn (also may suck), mock interview you (prepare to sweat), or tell you exactly what to do next
This is a test. Never done it. Might never do it again. Limited spots. Book now.
https://landadatajob.com/coachingday
โจ Try Julius!
This episode is brought to you by Julius โ your AI data analyst companion. Connect to your database and/or business tools, pull insights in minutesโno coding required. Thanks, Julius, for sponsoring this episode. Try Julius at https://landadatajob.com/Julius-DCP
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