What is data science?

What is data science?

As the world is entering the era of big data, the need for its storage capacity has also increased. By 2010, this was the main challenge and concern for enterprise industries. The main focus was on building frameworks and solutions to store data.

Now that Hardtop and other frameworks have successfully solved the storage problem, the focus has shifted to the processing of this data. Data science works secretly here. Whatever ideas you see in Hollywood sci-fi movies can actually be transformed into reality by data science. Data science is the future of artificial intelligence. Therefore, it is very important to understand what data science is and how it can add value to a business.
In this blog, I will cover the following topics.

The need for data science

By the end of this blog, you will be able to understand what data science is and its role in extracting meaningful insights from the complex and large set of data around us.

need for data Science
Data Science (Pic: Data Quest)

Why We Need Data Science:

Let’s understand why we need data science
Traditionally, the data we had was mostly structured and small in size, which could be analyzed using simple BI tools. Unlike data in traditional systems that were mostly structured, most data today is unstructured or semi-structured.

This data is generated from various sources such as financial sources, text files, multimedia forms, sensors and devices. Simple BI tools are not capable of processing this huge amount and variety of data. This is why we need more complex and advanced analytical tools and algorithms for processing, analyzing and drawing meaningful insights about it.
This is not the only reason why data science has become so popular. Let us understand in depth and see how data science is being used in various domains.


What will happen if you can understand your customers’ exact needs from their past data like browsing history, purchase history, age and income. There is no doubt that you have had all this data before, but now with the huge amount and data, you can train the model more effectively and recommit the product to your customers with more accuracy. Wouldn’t it be amazing because it would bring more business to your organization?

Let us take a different scenario to understand the role of data science in decision making. How about if your car has the intelligence to take you home? Self-driving cars collect live data from sensors including radars, cameras, and lasers to map their surroundings. Based on this data, it decides when the speed is fast and when the speed should be low, when to proceed, and when to turn, etc. For this, they use advanced machine learning algorithms.

Let us see how data science can be used in predictive analytics. Let’s take the weather forecast as an example. Data from ships, aircraft, radars, satellites can be collected and analyzed to make models. These models will not only forecast the weather but will also help in predicting the occurrence of any natural disaster. This will help you take appropriate measures beforehand and save many precious lives.

Wouldn’t it be amazing because it would bring more business to your organization?
Let us take a different scenario to understand the role of data science in decision making. How about if your car has the intelligence to take you home? Self-driving cars collect live data from sensors including radars, cameras, and lasers to map their surroundings. Based on this data, it decides when the speed is fast and when the speed should be low, when to proceed, and when to turn, etc. For this, they use advanced machine learning algorithms.

Let us see how data science can be used in predictive analytics. Let’s take the weather forecast as an example. Data from ships, aircraft, radars, satellites can be collected and analyzed to make models. These models will not only forecast the weather but will also help in predicting the occurrence of any natural disaster. This will help you take appropriate measures beforehand and save many precious lives.

Now that you have understood the need for data science, understand what data science is.
Web Title: What is data science?
Featured Image: Data Science Graphics (Pic:Datafloq.com)

 

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