I was asked recently, “What is the biggest challenge for fresh/green data analyst or data scientist?”
First thing that comes to mind is - Scoping of Project.
A lot of fresh data professionals, they have challenges scoping project or converting a business challenge to a mathematical modelling question. For instance, “How to increase loan portfolio without taking on more than necessary credit risk?”
Why they have such a challenge is
1) Lack of understanding where the business values are in the business challenge
2) Determining if there is a “data-problem fit” - whether the data is available and quality of data is at a level that can answer
But the buck does not stop there, the fresh professional also have to determine in the whole solution process:
1) what are the mathematical models to use
2）how to structure the whole solution with the chosen mathematical models
How to overcome it? I have two solutions:
1) Practice
2) Find an Experienced Mentor
Yes, so if you look at it a fresh data professionals actually have jump through a lot of hoops, before being able to put together a VALUABLE project. They will still need some assistance and guidance to help them achieve their potential.
I hope the information will be useful to you. I wish you all the best in your data career! :)
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