DeepSummary
The podcast episode features an interview with Avery Smith, the founder of the Data Career Jumpstart platform, where he discusses his journey into data analytics and teaching. He shares insights on helping people transition into data careers through his Data Analytics Accelerator program, emphasizing the importance of practical projects and leveraging AI for learning and career development.
Smith talks about the key skills required for data analytics roles, such as SQL, Excel, Power BI or Tableau, and Python. He advocates for a project-based approach to learning and highlights the significance of explainability in models to build trust with humans who make the final decisions. Smith also discusses the role of online education and the future of traditional education in the age of AI tools like ChatGPT.
The conversation delves into how Smith utilizes AI in his platform, including an AI-powered chatbot, an interview simulator, and leveraging AI for content creation and troubleshooting. He shares insights on continuous learning, maintaining a consistent online presence, and the potential saturation of the data analytics job market.
Key Episodes Takeaways
- Avery Smith's Data Career Jumpstart platform aims to help people transition into data analytics careers through practical projects and leveraging AI tools.
- Key skills for data analytics roles include SQL, Excel, Power BI or Tableau, and Python.
- Explainability in AI models is crucial for building trust with humans who make the final decisions.
- Online education and platforms like Smith's can provide flexibility and accessibility compared to traditional education.
- Smith leverages AI for various aspects of his platform, including chatbots, interview simulators, and content creation.
- Continuous learning and maintaining an engaging online presence are essential for success in the data analytics field.
- The demand for data-related roles is expected to rise in the coming decade due to the high return on investment associated with data.
- Opportunities for data jobs exist not only in the tech industry but also in various other sectors.
Top Episodes Quotes
- “I see data scientists, data engineer, data analyst roles continuing to rise over the next decade.“ by Avery Smith
- “If you can explain what's going on, or if you can have explainability in your model, that helps the human kind of, oh, this is why it's suggesting this, that can be really big, because if you have a model, but at the end of the day, the human's making the decision and they're ignoring your model, your model is not very useful.“ by Avery Smith
- “There's so many companies who are still so far behind in their data maturity, and data has such a high ROI that I see data scientists, data engineer, data analyst roles continuing to rise over the next decade.“ by Avery Smith
- “I try to tell people to not look at those necessarily as the shining examples of where the industry is at, because there's still lots of data jobs in companies that aren't tech at all.“ by Avery Smith
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Episode Information
What's AI Podcast by Louis-François Bouchard
Louis-François Bouchard
2/12/24
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: ►https://www.louisbouchard.ai/learnai/
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