How to become Data Scientist?

In this tutorial we will discuss about the skills and steps for Data Scientist. More important thing is we will discuss in this tutorial is whether Scientist should be added or not. If yes why? We will go step by step in making of Data Scientist.

Data scientist looks cool when someone says that he is scientist in Data. There are two type of data scientist.

Now come to the point why they referred as Scientists which is not correct and we should not call them as Scientists. They should not be called as Scientist, who does not have PhD degree in the field of Mathematics. 

So here we are clear that we should not call the as Data Scientist until and unless he does not have any PhD degree and published paper in that particular field. 

We will use Data Scientist term for this tutorial

There’s nothing much different in Data Scientist and Data Analyst both needs almost same skill set. One major difference is I am going to point out if you don’t like my difference please mention it in comments section. 

Data scientists are rare unicorn and they masters whole range of skill set. The unicorns who handle raw data and make them presentable to Data Analysts using different techniques like Python, R and so on…

Data scientists Role is Cleans the Data. Data may Unstructured. Unstructured means Data can be in any format. 

Skills and talents for Data Scientist are Machine learning, Statistics, Modelling and techniques to visualizing data.

While on other hand Data Analysts are those who analyse and visualize the data using stats and math. And make it presentable.

Data Analysts role is Process clean data which is provided by Data scientist using statistical data analysis methods.

Skills and talents for Data Analysts are Excel spreadsheet, Database system(e.g. SQL MySQL), visulaization tools (e.g. Tableau, clickview, etc), and Stats.

Before decade ago they were no where on the radar, but suddenly popularity arises of Data Scientist in those company’s who only deals with data and make something presentable from raw data. They are data wizard wrangler, they are the unattachable part of businesses who now think about data. They are the key people who boost the revenue of company with their modelling techniques.

The data scientist role has been described as “part analyst, part artist .“A data scientist is somebody who is inquisitive, who can stare at data and spot trends. It’s almost like a Renaissance individual who really wants to learn and bring change to an organization.”

Whereas a traditional data analyst may look only at data from a single source – a CRM system, for example – a data scientist will most likely explore and examine data from multiple disparate sources. The data scientist will sift through all incoming data with the goal of discovering a previously hidden insight, which in turn can provide a competitive advantage or address a pressing business problem. A data scientist does not simply collect and report on data, but also looks at it from many angles, determines what it means, then recommends ways to apply the data

There are lot of skills to learn to become data scientist and you should be excel in those skills.

You should have PhD degree.

Mathematics subject in which you should be excel are below:

Statistics modelling you can learn from here there is whole series of tutorials on statistical modelling.

Time Series tutorials series fully described from scratch check it out here

There are two most important library for data scientist enthusiast, he/she should know Pandas and Numpy. 

I am not giving explanation or any source for these libraries.

There are several responsibilties of data scientist which i am going to present in list view for better understanding:-