Interview Question: What are the important Python skills to have with regard to data analysis?

I use Python in my data science work because it is so versatile and has several libraries that I can use to complete complex tasks. In fact, Python is one of the two programming languages preferred by data scientists, the other one being R.

Data analysis is one of the skills the data scientist needs to be proficient at, and it is important to know a programming language to carry out data analysis. I personally use Python to carry out data analysis, so this blog will cover what Python skills are necessary to be good at data analysis.

Some important Python skills that are necessary when it comes to data analysis:-

1. A good understanding of built-in data types, to include lists, dictionaries, tuples and sets.
2. Mastery of N-dimensional numpy arrays.
3. Mastery of pandas dataframes.
4. The ability to perform element-wise vector and matrix operations on numpy arrays.
5. Familiarity with sklearn.
6. Ability to write efficient list comprehensions instead of traditional loops.
7. The ability to write functions.
8. Knowing how to optimise the performance of a Python script and how to…