The difference Between Data Analytics and Data Science

If you are a newbie to understanding the big data technology , then i am sure you will be get confused of these two terms. (i.e)Data science and data analytics. These two terms are slightly similar to each other, but there are huge variations between them. here we are going to discuss in detail about the topic, for the novice people to get understand the difference between data science and data analytics..

The Similarity Between Data Science and Data Analytics

These two fields are totally focused on data alone. This is the primary similarity between both data science, and data analytics(business analytics). But, inside the cycle of data engineering, this two process starts to vary between each of them.

Data Analytics :

It is a systematic process, to extract valuable information’s various structured and unstructured data source. Getting the past, present and future business performance through collected business information's. Determining and explaining the best statistical &data driven business model to the concern business owner

In simple terms :

Collecting, extracting, visualizing the business insights from various structured and unstructured business data, and helping business owners to take timely, data driven, and logical business decisions.

Data science :

Designing, developing, and deploying logical, automated, machine learning algorithms that should support any business intelligence tools inorder to analyze a huge volume of data. it is the foundation for data analysis, through which an applied business problem can be solved.

Reference : What is the difference between data science and data analytics