Description
The 100th celebration episode of the Data Career Podcast features a special panel interview conducted by Avery Smith with prominent data content creators, including Ken Jee, Monica Kay Royal, Richad Nieves-Becker, and Elijah Butler.
Recorded in Charleston, South Carolina, this milestone episode dives into personal experiences in the data field, the relationship with AI, favorite data learning resources, and interview tips.
The discussion provides a unique mix of backgrounds, offering perspectives on succeeding in data careers, the impact of AI, and the importance of continuous learning.
Connect with the panels on LinkedIn:
π€ Connect with Ken Jee
π€ Connect with Monica Kay Royal
π€ Connect with Richad Nieves-Becker
π€ Connect with Elijah Butler
βοΈ Discover what we wish we knew about landing the dream job
π€ Data Analytics Answers At Your Finger Tips
π€ Ace your data analyst interview with the interview simulator
π© Get my weekly email with helpful data career tips
π Come to my next free βHow to Land Your First Data Jobβ training
π« Check out my 10-week data analytics bootcamp
Timestamps:
(06:05) - Diving into the Panel: Introductions and Insights
(09:33) - Exploring Favorite Data Tools and Facing AI Threats
(16:58) - Learning Resources and Books for Aspiring Data Professionals
(23:26) - Interview Tips: From Connection to Confidence
Connect with Avery:
πΊ Subscribe on YouTube
πListen to My Podcast
π Connect with me on LinkedIn
πΈ Instagram
π΅ TikTok
---
Send in a voice message: https://podcasters.spotify.com/pod/show/datacareerpodcast/message
BLACK FRIDAY SALE π https://landadatajob.com/bf-podcast
Why pay to learn data skills when you could get paid to learn instead? Letβs explore the options and find what works for you.
π Join 10k+ aspiring data analysts & get my tips in your inbox weekly π...
Published 11/26/24
BLACK FRIDAY SALE π https://landadatajob.com/bf-podcast
No fluff, no jargon; just the essentials to kick-start your data analyst career in 2025 with a strategy built for success.
π Join 10k+ aspiring data analysts & get my tips in your inbox weekly π...
Published 11/19/24