Data Scientist vs Data Analyst-A common question for every beginner.

Often we see that the boom in data industry with the immense creation of data everyday from different sources, so the topic of data science become interesting. I have seen many people asking a question about the different fields, that is what is the difference between data scientist and data analyst.

Before discuss about the differences let us discuss about data, what is data?, data is an information or knowledge,for example this article itself is some data. Now we should have question that who generates data, the data is mainly creating by three sources they are humans, industries and machines.

Humans are creating data by their different action in social media and in many more things, next one is an organisation and finally the data is created by machines.

So now time comes to talk about data scientist and data analyst, first we will discuss about data analyst, if you observe from the below picture the data analyst is pointing to something 

representation, so he use to break the large problem to small pieces for better understand-ability, so data analyst the use to give the solutions through a representation using different kind of visualizations like bar charts, pie charts etc based on what happened so far. Whereas being a data scientist who will see the problem in business point of view, will do the predictive analysis to find what going to be happen in future, that is what a data scientist will do.

Let us see the skills set and team structure of a data scientist, if we see the following picture we can find that a data scientist have a team of data analyst, software engineer and a domain skill experts like

 a java, R, or Scala programmer. whereas data analyst have a team of software engineer and a data warehousing. A data analyst and a data scientist have a different roles under them as you see in the following picture.

When it comes to technical skills of a data scientist and a data analyst they are follow as like given below.

So we have discussed the major difference between a data scientist and a data analyst, skill sets of the each field.