What Is Data Science And Its Components?

Data Science Course in Chennai

What Is Data Science?

The field of study known as data science works with vast amounts of information using trying-to-cut tools and methods to uncover hidden patterns, extract valuable information, and make business decisions. Data science creates known models using machine learning algorithms. It is not the only application where data science is used. Join the  Data Science Course in Chennai at FITA Academy to learn more about data science.

The data used for analysis can be given in various formats and come from multiple sources.

What Are The Components Of Data Science?

The main components of data science are data extraction, modeling, testing, and deploying models.

1)Data Extraction:

The data extraction process involves sampling and data transformation, throughout which we analyze the observations (rows) and features (columns) and eliminate noise using statistical methods. This stage is also used to determine the relationship between different parts (columns) in the data collection, including whether any missing values exist and whether the characteristics are dependent or independent of one another. In essence, the data is processed and prepared for usage. As a result, this is one of the more time-consuming stages.

2)Data Modelling:

Here, the model fits the data. The data we have and the business requirement affect the chosen model. For instance, a model for recommending an article to a consumer will differ from selecting a model to forecast how many pieces will be sold on a specific day. We fit the data into the chosen model after making that decision. This is one of the advantages of data science. To know more about data modelling, join the Data Science Online Course .

3)Testing The Model:

The model is evaluated using test data to identify its precision and other attributes. The model is then adjusted as needed to produce the desired outcome. If the accuracy is not what we aim for, we can repeat steps 2 and 3 and choose a different model to achieve the desired accuracy. Finally, we can select the model that best suits our needs as a business.

4)Deploying Model:

We complete the model, which gives us the best result based on testing findings, and deploy it in the production environment once we have achieved the intended result through appropriate testing under the business requirements. Thus it is an integral part of data science.


I hope you have gained some information regarding data science and its components. Data science is a vital subject to learn in this world where everything has been changing and manipulated according to the data collected. Join the Data Science Courses in Bangalore to learn more about this interesting subject.