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If you are working with data, often you might have come across terms like “tests”, “scores”, “values”, etc. preceded by alphabets like ‘F’, ‘P’, ‘R’, ‘T’, ‘Z’, etc. This article is about a layman-explanation of a few of such statistical terms/concepts, often encountered in the world of Data Science.

Disclaimer: What this article is not about?


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Every now and then, I see a new Medium article saying “7 must-have skills”, “10 important skills”, “top 3 skills”, etc. for a data scientist. All such posts acknowledge SQL as a must-know skillset for data scientists. Coming from a computational physics background, SQL was foreign to me until I…

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This article is about lists. They are the most versatile and resourceful, in-built data structure in Python. They can simultaneously hold heterogeneous data i.e., integers, floats, strings, NaN, Booleans, functions, etc. within the same list. They are an ordered sequence of items that means the order of the elements is…

Ankit Gupta

Data Scientist | Computational Materials Scientist (PhD) | Tech Writer | Stack Overflow Contributor for Python and Matplotlib

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