What is Data Science – Definition, Applications

Data science is generally referred to as a combination of multiple fields, including statistics, scientific methods, artificial intelligence (AI), and data analysis. The objective of data science is to extract value from the data given. The person who practices data science is called data scientists, and they combine a range of skills to analyze data collected from the web, smartphones, customers, sensors, and other sources to derive actionable insights into the collected data.

Data science encompasses preparing data for analysis, including cleansing, aggregating, and manipulating the data to perform advanced data analysis. Analytic applications and data scientists can later review the results to uncover patterns and enable business leaders to draw informed insights from the given data.

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Definition of Data Science

• It is referred to as a combination of multiple fields, including statistics, scientific methods, artificial intelligence (AI), and data analysis.
• It is considered to be one of the most exciting fields. 
• Data science can be said to be an untapped resource for machine learning
• The scope for the subject is too vast and significant.
• The goal of the subject is to extract value from the input, which is the data given.
• The person who practices data science is called a data scientist.
• Data scientists are those who combine a range of skills to analyze data collected from the web, smartphones, customers, sensors, and other sources to derive actionable insights into the collected data.

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Applications of Data Science

• The scope for the data science subjects is too vast and significant.
• The companies are sitting on a treasure trove of data.
• Modern technology has enabled the creation and storage of increasing amounts of information, data volumes have exploded.
• It is said that 90 per cent of the data in the world was created in the last two years.
• The classical example is Facebook, in which users upload 10 million photos every hour.
• The data is often just sitting in databases and data lakes, mostly untouched.
• The wealth of data being collected and stored by these technologies can bring transformative benefits to organizations and societies around the world is possible due to data science.
• Data science depicts trends and produces insights that businesses can use to make better decisions and create more innovative products and services.
• The main objective of the subject is to enable machine learning (ML) models to learn from the vast amounts of data being fed to them, rather than mainly relying upon business analysts to see what they can discover from the data.
• Data is the bedrock of innovation, but its value comes from the information data scientists can collect from it, and then act upon.

I hope this article was helpful. If you are a candidate who wants to pursue a career in the data science and looking for a good start, our  Entri app has got it covered for you. Our team will cover all data science topics and help you with content and insights related to the examination. Feel free to post any queries and doubts in the comment section. We will try our best to reach out. Push away all those self-doubts and negative thoughts. Try to have a clear vision. Ask yourself why you want this. Focus on the good and work hard. There is a saying that goes like this, Get up and set your shoulders to the wheel-how long is life for you? as you have come to this world leave some mark behind or where is the difference between your trees and stones they too come into existence decay and die. Today is the day, hope for the best. Good luck