Data Scientist vs Data Analyst: know the difference!
It’s been a long time since I wrote on Data world. In this post, I am going to clear many of the doubts of these two job descriptions: Data Scientist and Data Analyst.
While I was in my university initially, I didn't have the idea and the exact difference between these two job descriptions. For me, these job roles were similar. But as I went through the semesters and learned more about data and the industry revolving around it, I got to know the real deal.
In this post, I would pen out these two popular job descriptions and would also shed light on the skillset that is required to perform your job properly and excel in the respective path.
Let’s start with Data Analyst!
Who is a Data Analyst?
Putting in simple words, A data analyst collects, cleans, and interprets data sets in order to answer a question or solve a problem. They can work in many industries, including business, finance, criminal justice, science, medicine, and government.
In short, his major part of the day revolves around the task of data analysis.
Data analysis is the process of gleaning insights from data to help inform better business decisions. The process of analyzing data typically moves through 5 common phases:
