Data Science vs Data Analytics

In this article, we will discuss the differences between the two most demanded fields in Artificial intelligence that is data science, and data analytics.

What is Data Science 

Data Science is a field that deals with extracting meaningful information and insights by applying various algorithms preprocessing and scientific methods on structured and unstructured data. This field is related to Artificial Intelligence and is currently one of the most demanded skills. Data science comprises mathematics, computations, statistics, programming, etc to gain meaningful insights from the large amount of data provided in various formats. 

What is Data Analytics

Data Analytics is used to get conclusions by processing the raw data. It is

in various businesses as it helps the company to make decisions based on the conclusions from the data. Basically, data analytics helps to convert a Large number of figures in the form of data into Plain English i.e., conclusions which are further helpful in making in-depth decisions. Below is a table of differences between Data Science and Data Analytics: 

Difference Between Data Science and Data Analytics 

There is a significant difference between Data Science and Data Analytics. We will see them one by one for each feature.