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Post
Created date
Jul 4, 2023 02:17 AM
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Data Science
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Decision Making
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English
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Online
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As a Data Analyst, our primary objective is to deliver recommendations, insights, and demonstrate the current state of affairs. Since incorporating ChatGPT into my work, I've started approaching my analysis more strategically.
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I lean more towards being an analyst than a coder.

Let's face it: Python is just one of the many tools we use, alongside Tableau, R, SQL, and Excel. While it's cool to spend time on Python, it's not the ultimate goal of our work.

As a Data Analyst, our primary objective is to deliver recommendations, insights, and demonstrate the current state of affairs. Since incorporating ChatGPT into my work, I've started approaching my analysis more strategically.

I now find myself asking questions like:

  • Why do we need this approach?
  • How can we obtain more accurate results?
  • What impact will this insight/recommendation have on our business?

Instead of getting caught up in questions like:

  • What does "error 1" mean?
  • How do I raise my label by 2 pixels?
  • Why isn't my for-loop working?

Honestly, I feel like my job has improved significantly.

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