Data Science VS Data
Analytics VS Data
September 25, 2020 by Akshay Tondak 4 Comments
One of the common questions that are asked to us in our Free Training on
Microsoft Azure Data Scientist Certification [DP-100] is that what is
the difference in Data Science vs Data Analytics vs Data Engineer. So
in this blog, we will give you a broad overview of the difference between
Data Science vs Data Analytics vs Data Engineer and how ML and AI
are included in these fields and also guide you to choose the right career.
A Data scientist takes an average salary of around $117,000 every year,
and a Data analyst takes around $67,000 per year, whereas a Data
Engineer takes $90,839/ year and Azure Data Engineer takes $148,333/
Do Read : Our Blog Post On Hyperparameter.
What Is Data?
Data is the collection of lots of facts and figures.
Whether you understand it or not there is no denying that data is the
foundation of any successful company and the business entrepreneurs that
are leading the way are aware that looking deeper into data is what will
make them tower above the competition.
Let’s look at the data science team or big data team. We want to solve a
business problem then We’ll do a significant amount of work on data that is
available first based on the data analytics and we will provide an insight
dashboard after the dashboard is ready.
We as a data scientist will use some machine learning and artificial
intelligence tools to develop models that could predict future outcomes.
Note : Do Read our Blog on Convolution Neural Network.
What Is Data Science?
(Business Analytics vs Data
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It is a discipline relying on data availability, while business analytics does not
completely rely on data.
Data Science covers part of data analytics, particularly that part which uses
programming, complex mathematical, and statistical. it is not completely
overlapping Data Ana