How to think like a Data Scientist (Secret to a data-driven mindset)
7 Steps to master your thoughts to become a data-driven person.
Photo by Mika Brandt on Unsplash
If you have read my previous article “Becoming a Data Scientist (Zero to Hero)”, Consider this as the second part of it. (Click below to read it in case if you have missed it)
Becoming a Data Scientist (Zero to hero checklist)
10 Steps for people who want to pursue a career in Data Science on Jayasekara.blog by Dilan jayasekara
In addition to the concrete steps I listed in my first article above, to develop the skill set of a data scientist, I include seven challenges below so you can learn to think like a data scientist and develop the right attitude to become one.
1. Satisfy your curiosity through data
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As a data scientist, you write your own questions and answers. Data scientists are naturally curious about the data that they’re looking at, and are creative with ways to approach and solve whatever problem needs to be solved.
Here are two great examples:
Challenge: Think of a problem or topic you’re interested in and answer it with data!
For instance, I was using Google BigQuery for a data warehousing project a few months back and I was curious about the process of the whole data migration thing and I researched for days and finally wrote this article:
What happens to Data on the fly when migrating from SQL to BigQuery using StitchData
If you happen to come across my previous article about creating a data warehouse in BigQuery, you came to know about..jayasekara.blog by Dilan Jayasekara…
Read the Full Article Here
