How to Switch Careers | Becoming a Data Analyst

What this episode covers

Learn all about how a MLOps & AI Engineer uses data to solve the world's problems, one GenAI tool at a time. Two things to learn about the data field if you are new in your career: the details always matter and people are more impressed with your grit than your grind. In this episode, Mikiko shares with us her story on how she transitioned into data analytics from her job working at a hair salon! Highlights 🔦 - How to transition into data from a completely different industry - The importance of applying what you learn in courses by building projects - How to use generative AI tools to help you save tons of hours Tune in to hear Mikiko share a whole lotta resources to help you along your career journey! Where to find Mikiko LinkedIn - Twitter - TikTok - Instagram - GitHub Just look for 'Mikiko Bazeley MLops Engineer' to find her Other Resources WellfoundDataCampCourseraO'Reilly subscriptionEducativeMavenLinkedIn Learning Books Ultralearning by Scott H. YoungThe Art and Business of Online Writing by Nicolas ColeThe Consulting Bible by Alan Weiss ****** Data Career Coaching ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Book a call⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to learn more MERCH!! Grab your ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠nerdnourishment swag⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Support If you like what you see, consider ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠buying me a broccoli⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ (it fuels my creativity)

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Frequently Asked Questions

How long is this episode of Data Podcast for Nerds!?

This episode is 47 minutes long.

When was this Data Podcast for Nerds! episode published?

This episode was published on May 16, 2024.

What is this episode about?

Learn all about how a MLOps & AI Engineer uses data to solve the world's problems, one GenAI tool at a time. Two things to learn about the data field if you are new in your career: the details always matter and people are more impressed with your...

Can I download this Data Podcast for Nerds! episode?

Yes, you can download this episode by clicking the download button on the episode player, or subscribe to the podcast in your preferred podcast app for automatic downloads.