I have said it before and I will say it again, “Data Science in itself is not one particular field”. It’s just not possible for all the “Data Scientists” on the planet to be “on the same level” in terms of their skillset and expertise and I will tell you why I say that in a second

We all know a Data Scientist needs to be good with mathematics, Python, SQL and needs to have exceptional communication skills.

All of these skills are a must to make the “Perfect Data Scientist” but no matter how good you get at the mentioned skills, The one thing that will separate you from the rest of the lot is Domain Knowledge.

Yes, Domain Knowledge is something that differentiates a Data Scientist working in retail from a Data Scientist working in the telecom industry. Regardless of how experienced a particular individual is, If he/she lacks the know-how of the business he/she is trying to work for, It won’t be possible for that individual to add massive value to that firm.

So in this article, I will be going over some very important terms which I learned on my very first **Real Life Retail **Data Science project and believe can add value to anyone trying to gain domain knowledge in the retail domain for Data Science.

#artificial-intelligence #machine-learning #retail #data-science #economics