If data science and data analytics both depend on the availability of data, what’s the real difference between the two?
In the simplest terms possible:
1) Data science is a subset of data analytics
In other words, Data Analytics is the broader term
2) When using ‘data science’ we often imply ‘some business oriented data analytics’
To better understand this, we’ve given an example in the lecture: ‘digital signal processing’.
We use data analysis to process digital signal, but that’s not really data science. Here’s the respective part of the video: https://www.udemy.com/the-data-science-course-complete-data-science-bootcamp/learn/v4/t/lecture/10762762?start=465
The 365 Team