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What is the difference between Data Science and Analytics?

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Data Science is all about dealing with unstructured and structured data, Data Science is a domain that covers everything related to data cleansing, preparation, and analysis. As you all know that DS roams around statistics, mathematics, programming, problem-solving, obtaining data in inventive ways, the ability to look at things differently, and the activity of cleansing, preparing, and aligning the data.

Whereas Data Analytics is all about the science of examining raw data to conclude that information. It involves implementing an algorithmic or mechanical process to determine insights. For example, going through various datasets to look for meaningful correlations between each other. It is used in various industries to allow corporations and companies to make better judgments as well as verify and disprove existing data or models.

If you want to know more about the difference then do refer the following video tutorial: 

If you want to know more about Data Science then do check out Intellipaat’s online course which will help you in learning Data Science from scratch and also provides one-to-one mentorship::

https://intellipaat.com/data-scientist-course-training/

To know more about data analytics, enroll in this Data Analytics Training and learn from the experts!

And if you are more into videos then you can check out this video tutorial which will help you in learning Data Science from the beginning:

And if you are beginner and more into reading blogs then you can check out this blog which will provide you a brief introduction to Data Science:

https://intellipaat.com/blog/what-is-data-science/

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