Eight basic data structures every data scientist should know

Eight data structures for elegant and clean code

Photo by Alina Grubnyak on Unsplash

Data Science is an interdisciplinary field that targets to find unseen patterns, extract meaningful information from a vast amount of structured or unstructured data, and much more, using techniques and methods from fields like computer science, mathematics, information science, and domain knowledge. The technological advances of the last decades in combination with the wide use of the internet have led to a vast amount of available data, increasing the need for data scientists.

Because of its interdisciplinary nature, there are data scientists from different domains (computer science, physics, economics, mathematics, etc). To become a data scientist, someone needs a strong background in a couple of areas like statistics, linear algebra, programming skills, etc. Today, we are going to talk about 8 basic data structures that every data scientist should know.

First of all, what does mean the term data structure? A data structure is a way with which a programmer organizes the data in the memory of a computer so that it can be used effectively. According to the problem and the nature of the data, we must select the right data structure. The use of the appropriate data structure has a great impact on the time and…