This article wasoriginally publishedon .cult by Nate Rosidi..cultis a Berlin-based community platform for developers.
This article might just be the thing that can help clarify some of the key differences in these roles.
Well be focusing on the differences between a data analyst and a data scientist.
It’s free, every week, in your inbox.
A data analyst can be expected to be heavily involved in A/B testing too.
At times, data analysts must be creative in answering business problems that lack direct forms of data.
On the analysis front, the data analyst role is significantly more consulting-focused than that of a data scientist.
This is often necessary for the data analyst to generate meaningful insights that make sense to different stakeholders.
SQL skills and database management skills are particularly crucial for data analysts as part of the insight generation process.
However, unlike data scientists, data analysts are not primarily focused on advanced data modelling techniques.
As a result, a key difference is the extent of coding employed in data scientist roles.
Story by.cult
.cult by Honeypot is a Berlin-based community platform for developers.
