Data Science

What is Data Science?

In understanding Data Science it is important to know that data science is a process, not an event where it is used to have a clear understanding of different events in the world. 


Data Science is used for validating a model or hypothesis for a problem with data where it uncovers the data’s insights and trends. It is also used for having a clear understanding of the form of the data and if they are structured or unstructured.   


As the name suggests, Data science is the study of data, as physical science is the study of physical science and biological sciences is the study of biology.


Properties of data are real, meaning that they will be worked and studied on to get answers for questions that are being explored. The relevancy of data science is in today’s world of the large amount of data being available for use. 

The Path

The data science path is very much dependant on the desired destination which requires knowlege and passion as well as long term dedication.  

Data Science is the process of using data to understand the world. It is the art of uncovering the insights and trends that are hiding behind data. It is a field about processes and systems to extract data in different forms that could be structured or unstructured. 

As its names says Data science is the study of data, like many other sciences like biological sciences is a study of biology, and physical sciences is the study of physical reactions. 

Data is used when a model or hypothesis of  a problem is being validated, when data is translated into a story. 

The basis of Data Science is believing in data; believing in it being real and having real properties that need to be studied and worked on. Its relevancy today is the availability of the data in many shapes and forms.