We are hearing a lot about the data nowadays since the internet has become an ever-increasing knowledge plate form and nowadays a particular individual is generating TeraBytes of data in a single week due to his/her social network commitments and other internet usages. This is the best time to be a data scientist since through that particular data one can draw multiple insights from credit card sales to, mobile data sales to health predictions and weather forecasting and so on. Every application in the mobile or the internet we are using is all driven by the data. All the major companies are hugely investing in the field of data science to make themselves future-ready.
As everything around us is completely driven by the data which we are only generating, basically we are leaving a footprint of us in the form of data while we are browsing the internet or surfing around the mobile apps. So to capture and use the huge potential of the data one should learn about this field, as this is the future. Data science is not only a field which is bifurcated from the field of computer science its an amalgamation of various Fields such as below figure
Basically Data science is the intersection of 3 Fields that are:
1. statistics: This plays a vital role since mathematics is the crux of data science.
2. Data analysis: This is also very imported as the data needs to analyzed and plotted to identify the intricacies of it.
3. Machine learning: This comprises of the various algorithms involving statistics.
Also, the domain knowledge is very much important(for example one is working on credit card fraud detection then banking domain knowledge is must in this scenario)
There is the various application of data science such as:
A simple example of the data science application can be sales forecasting:
This is the basic use case of a data science project.
Before starting with this tutorial one should have a basic knowledge of coding preferably python and also should know how the python code is executed in a particular IDE or have a basic knowledge of a code editor
This tutorial is targeted towards the software professionals and software engineering graduates of any other individual who have a basic knowledge of programming and wants to learn and make a carrier for himself/herself in the field of data science