What Is Data Science And Why We Need Data Science?

By Author: Amit Kumar
Total Articles: 7
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Before getting into the best training institute in Bangalore first I would like to tell you about data science that what is data science and why it is important.

What is Data Science?

As the world has entered into the big data every company knows the importance of data. As this is the world of big data so its storage importance is also growing but after the Hadoop and other software came into the market, the storage problem was solved. Now the main concern is on the processing of data. As we have the solution of storage of data but how can we process the huge amount of data. So to solve this problem, data science came into the market.

Data science term has grown because of big data, data interpretation and the development of scientific statistics. Data science is part of artificial intelligence.

Why we need Data Science?

Before the data was very structured, small in size and can be analyzed by using BI tools or other simple tools which is available in the market but nowadays the data is coming unstructured, big in size and coming from very different sources. Below the graph is showing that ...
... by 2020 more than 80% of data will be unstructured.

This unstructured data is generating from different sources like multimedia forms and sensors and instruments. Such kind of unstructured data cannot be analyzed by the BI tools and other tools these tools are not capable of analyzing such kind of data. For this, data science came into the market. For processing such kind of huge data and to analyze the data we need some powerful tools which can analyze, process and draw meaningful insights.

We cannot do only these things we can do another thing as well by using data science. That’s why data science has become much popular. Let’s take a look at what other things can be done by data science.

1. How about if you could understand the customer’s need based on their existing data like past purchase history, browsing history age and income. No doubt it will give you a great business profit if these things can be done. This will be possible with data science and cannot be done by other analytics tools.

2. How about if data science can be used in predictive analytics. Data science can give the prediction in weather forecasting. It can take and analyze the data from ships, aircraft, radar, and different satellites and give you the prediction of whether or also can tell you about some natural calamities. So you can aware before any natural calamities happen

3. Let’s take another example of data science to suppose if your car had the intelligence to drive you home. These self-driving cars take the data from different sensors, cameras, radars, and lasers. Then this data is analyzed and based on this data your car takes the decision like when speed high when to speed up, when to take a turn and when to stop. This can be done by the latest machine algorithms.

Conclusion:

I hope you have understood the role of data science and the need for data science in this modern world. Near Learn is the top Machine learning institute and it provides the best data science training in Bangalore. It also provides training on machine learning, blockchain, big data, and deep learning, etc.

A full-time digital marketer. Currently, I am working as a digital marketing executive in near learn. Acquiring skills in Search Engine Optimization, Search Engine Marketing, Social Media Marketing, WordPress, Google Search Console, Google Analytics, Keyword Planner Tool.