Data science is not a one-step process such that you will get to learn it in a short time and call ourselves a Data Scientist. It’s passes from many stages and every element is important. One should always follow the proper steps to reach the ladder. Every step has its value and it counts in your model. Buckle up in your seats and get ready to learn about those steps.

No work start without motivation, Data science is no exception though. It’s really important to declare or formulate your problem statement very clearly and precisely. Your whole model and it’s working depend on your statement. Many scientist considers this as the main and much important step of Data Science. So make sure what’s your problem statement and how well can it add value to business or any other organization.

After defining the problem statement, the next obvious step is to go in search of data that you might require for your model. You must do good research, find all that you need. Data can be in any form i.e unstructured or structured. It might be in various forms like videos, spreadsheets, coded forms, etc. You must collect all these kinds of sources.

Data is a word we hear everywhere nowadays. In general, data is a collection of facts, information, and statistics and this can be in various forms such as numbers, text, sound, images, or any other format.

In this article, we will learn about What is Data, the Types of Data, Importance of Data, and the features of data.