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What Is Data Science?

Working On Data

Photo by Chris Liverani on Unsplash

You’ve heard it often around you and on the internet. So, do you know exactly what it is? In this article, I will try to explain to you what data science is and who does it, as simply as possible. Let’s start it!

Data science is the study of data and how it can be used to make better decisions. Data scientists use machine learning, statistical analysis, data visualization, and data mining to help them understand the data they collect and make decisions about how to use it.

They use these tools to understand how data is collected, what it is used for, who is using it, how the information is being used, and what the implications of that are for the organization and its customers.

The data scientist’s job is to analyze the collected data to find patterns and trends that can help the business understand what is going on in its business. This is done in a variety of ways, but the most common is by analyzing the raw data in order to identify trends and patterns that may be relevant to the company’s business and the customers it serves.

Who is the data scientist?

Data scientist is a job title that is used to describe a person who works in the field of data science. Data scientists are responsible for creating, analyzing, and visualizing data for a variety of purposes, such as research, product development, marketing, sales, or public relations. They also work with other data scientists to improve the quality of the data they collect and the analysis they produce.

The job description of a data analyst is similar to that of an analyst in other fields. However, data analysts are expected to have a deeper understanding of how data is collected and analyzed, as well as the ability to analyze and interpret data in a way that makes sense to the end-user.

In addition, they must be able to communicate effectively with a wide range of stakeholders, both internal and external, in order to make the most of their data-gathering and analysis skills.



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