How do you choose between overlapping data areas?

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For instance, I love creating end-to-end data solutions that starts by creating ingestion pipelines to modelling and reporting/BI? I started out working on Nokia core performance metrics with Airtel, then creating inhouse data solution based of NIAM and have enjoyed every aspect of the process, then how do you choose one. Because I wouldn't want to be "jack of all trades, master of none"

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Vivek C. asked a question to Steve T.

Category: Internal career mobility

Date asked: Wednesday, February 1, 2023

Last reviewed: Wednesday, February 1, 2023

Steve T.

Data Science & Analytics Specialist

Interesting question because if find myself doing the same. One month I'm all in on PBI. The next month I try to code in Python. I would say that if you expose yourself to different platforms and technologies perhaps 1 area will resonate with you. 5 years ago I was really into data visualization. Then it changed. Data projects often require a blend of skills and not all need to be expert-level. Choose the area you enjoy BUT the full quote is "A jack of all trades is a master of none, but oftentimes better than a master of one" so choose and keep choosing.

Wednesday, February 1, 2023

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