The World of Data Analysts I've Experienced (feat. Practical Tips, Mindset)

When you first start data analysis, you'll find yourself pondering questions like these:

• I saw the metrics, but what decision should I make with this?

  
  

• How do you determine whether B looks better in an A/B test because it's a real effect or just a coincidence?

  
  

• Where should I even start when they tell me to find insights?

  
  

• I analyzed it, but everyone is having trouble understanding my report

  
  

I share experiences and insights as a working data analyst.

• I structured data analysis into four types: decision-making, discovery, prediction, and diagnosis, and will share experiences about what problems were solved and how they were approached.

• Data analysis is a battle with oneself and a continuous process of trial and error. That's why mindset often shines more than skills and knowledge. I'll share the mindset that data analysts should keep in mind.

You'll learn this content

It's content you can listen to as casually as a YouTube video, so feel free to listen comfortably 🚀

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