Why are we ignoring the boring stuff

📰 Medium · Data Science

Learn why fundamentals in data science are being ignored in favor of trendy tools and how to refocus on building a strong foundation

intermediate Published 18 Jun 2026
Action Steps
  1. Reflect on your current workflow to identify areas where you're relying too heavily on tools
  2. Revisit the fundamentals of data science, such as statistics and data visualization
  3. Practice applying fundamental concepts to real-world problems
  4. Evaluate job posts and content to see how they prioritize tools over fundamentals
  5. Develop a plan to balance tool proficiency with fundamental knowledge
Who Needs to Know This

Data analysts and scientists can benefit from understanding the importance of fundamentals in their work, and team leaders can use this insight to refocus their hiring and training efforts

Key Insight

💡 Fundamentals in data science are being overlooked in favor of tool proficiency, but a strong foundation is crucial for long-term success

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💡 Don't forget the fundamentals in data science! Amidst the buzz around trendy tools, remember to build a strong foundation in stats, data viz, and more

Key Takeaways

Learn why fundamentals in data science are being ignored in favor of trendy tools and how to refocus on building a strong foundation

Full Article

Title: Why are we ignoring the boring stuff

URL Source: https://medium.com/@thatomaphoto/why-are-we-ignoring-the-boring-stuff-49dd2ea1c4eb?source=rss------data_science-5

Published Time: 2026-06-18T23:20:41Z

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# Why are we ignoring the boring stuff | by Thato Maphoto | Jun, 2026 | Medium

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# Why are we ignoring the boring stuff

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Whenever I get online to read or watch videos about working in data there is one thing that is very apparent, and that is: no one cares about the boring stuff. This is not only visible in content published by influencers but you also see it when going through job posts.

The role of a data analyst or similar has been overtaken by what tools can you use. Companies seem to care more about the list of tools you are proficient in whilst those creating “How to become a data analyst/scientist” content are focusing more on the tools you should be learning to land a job. What happened to the fundamentals of d
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