Basic Introduction of Data Science

 

Data : Data is very important for any organization to continue its organization. The data may be related to employees in the organization.

Data plays an important role in our lives for example a chain of hospitals contain data related to medical reports and prescription of their patients. A bank contains thousands of customers’ transaction details share market data representing minute-to-minute changes in the values of the shares. In this way, the entire world is roaming around huge data.

Data may come from various sources. For example in business organizations, we may get data from the sales department purchase department, production department, etc. Such data is stored in a system called ‘Data warehouse’.

We can imagine data warehouse as a central repository of integrated data from different sources.

Once the data is stored. We should be able to retrive it based on some pre-requistics. A business company want to how about how much amount they had spent in the last 6 month on purchasing the raw material or how many items had been found defective in their production unit.

We have to retrieve the data as per the needs of the business organization this is called data analysis or data analytics.

Where the data that is retrieved will be organized to answer the questions raised by the management of the organization. A person who does data analysis is called ‘Data Analyst’.

Once the data is analyzed, it is the duty of the IT professional to present the results in the form of pictures or graphs so that the management will be able to understand it easily.

Such graphs will also help them forecast the future of their company. This is called data visualization.

The primary goal of data visualization is to communicate information clearly and efficiency using statistical graphs, plots and diagrams.