The Skill Framework Every Data Professional Needs - Kelly's Bytes - 12/13/24 (#111)


KELLY'S BYTES

By Kelly J. Adams

Hey!

Thanks for subscribing and here’s this weeks edition lesson:

Main Lesson: T-Shaped Approach to Learning

One of the biggest improvements I’ve made in my career planning is by adopting the T-shaped approach to skill-building. Here’s why it’s worth considering:

  • What it is: A framework that balances deep expertise in one area (like data analytics) with broad knowledge across related areas (like business departments and industries).
  • How it helps: It keeps your learning focused while making your skills transferable, allowing you to stand out as both specialized and versatile.
  • Why it works: Combining depth and breadth creates a unique skill set, making you adaptable to new opportunities and more valuable to your team.

For a step-by-step guide, check out this week’s blog post where I dive deeper:


Bite-Sized Resources

📺 Video: [Machine Learning] Large Language Models explained briefly from 3Blue1Brown explains how large language models (LLM) work and is a great introduction for anyone who is interested in learning about LLMs.

🎧 Podcast: SDS 844: In Case You Missed It in November 2024 from the SuperDataScience Podcast that includes moments from his favorite interviews about a career in AI, AI in healthcare, and what make an AI expert.

📝 Post: [SQL] LinkedIn post from Dawn Choo with 5 hacks to level up your SQL skills and includes practice problems.


Courses & Resources

📚 ​Excel Course​: A free course that teaches you Excel from beginner concepts like formulas and functions to more advanced concepts like Power Query.

📚 ​SQL Course​: Learn basic SQL in 4 hours going over things like aggregation, common analysis techniques and more.

📚 ​Python Course​: Goes into not only using Python to analyze data but also visualize it as well with libraries like Matplotlib.

📊 How to Become a Data Analyst: Check out my blog post on how you can become a data analyst.

📊 Data Analytics Resources: View all the resources (e.g. podcasts, courses, etc.) I used to learn data analytics.

The links for my courses are affiliate links. If you decide to purchase the course through this link, I may receive a small commission at no extra cost to you. This support helps me continue to provide content. Thank you for your support!


Until next time,

- Kelly

Kelly's Bytes

Every other Friday, I share one practical lesson, highlight a blog post, and share 3 bite-sized resources to help you upskill and stay updated.

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