In this episode, I talk with Avery Smith, a data analytics expert and educator who gives practical strategies for breaking into the data analytics field, leveraging AI for learning and career development. Avery shares his journey into data and teaching, and insights on helping others transition into data careers through his Data Analytics Accelerator program, emphasizing the importance of practical projects and how he leverages AI in enhancing learning and job preparation processes (and he shares tips to help you do that too!).

References:

►Avery Smith: https://www.linkedin.com/in/averyjsmith/

►Data Career Jumpstart: https://www.datacareerjumpstart.com/

►Podcast: https://podcasters.spotify.com/pod/show/datacareerpodcast

►AveryGPT: https://www.datacareerjumpstart.com/averygpt

►AI Interview Simulator: https://www.datacareerjumpstart.com/interviewsimulator

►Twitter: https://twitter.com/Whats_AI

►My Newsletter (My AI updates and news clearly explained): https://louisbouchard.substack.com/

►Support me on Patreon: https://www.patreon.com/whatsai

►Join Our AI Discord: https://discord.gg/learnaitogether

How to start in AI/ML - A Complete Guide:

Timestamps:

00:00 Coming up in the conversation

01:45 Avery shares about his background

03:00 Making people land data job in 90 days!

07:02 Theory vs Practical knowledge

08:34 Importance of Explainability in Models

10:28 The Future of Traditional and Online Education

12:00 Networking while studying remotely

14:09 Maintaining consistency in value in LinkedIn posts.

16:20 Is greater studies still relevant in the era of ChatGPT?

17:45 Becoming freelancing ready in data analytics

20:53 Keeping course content up to date 

23:56 This is how Avery utilizes AI

29:16 Discussion on AI Avatars

38:01 Does Avery provide lessons on how to better use ChatGPT?

40:08 Avery shares his learning resources

43:12 Book recommendations

44:52 Is the field of data field too saturated to join right now?

46:58 Discussion on the current reality of freelancing