What are the key functions used in Data Science?

Question

What are the key functions commonly used in Data Science? Could you explain the important ones or how they contribute to the field?

Answer 1

Sanjeet Singh ,

your question covers a very wide range of information. so i took chatGPT and pasted your question as it is.

you can try it by yourself. the results are well-structured explanations that will give you a good overview for further researching. this is the final summery:

... different stages of the data science workflow: data acquisition, cleaning, exploration, modeling, and communication.

Answer 2

Sanjeet Singh as Lothar has mentioned. In addition to that you can do thorough research using websites like medium, towards data science and geeksforgeeks for further in detail about some data science key functions and their uses. You can even checkout kaggle for the datasets, models and many more for enhancing the data science field. Every function has its own pros and cons we can't say this is good that is good. It completely depends upon your interest. So choose it wisely. Happy coding!!