DATA Science Course and its relevance – Data Science is an upcoming stream of study. This is a concept that combines data analysis, statistics, and methods related to these streams. The primary aim is the perusal and understanding of the actual motive that lies behind the data. In the Data Science course, multiple techniques and theories are used to study data of different types. The course may be applied to study various fields like information science, mathematics, computer science, etc.
Data Science course makes an individual expert in handling large amounts of data, preparing and modelling it, and eventually taking out findings needed by the business to increase its effectiveness.
Constituents of Data Science
Machine Learning: This involves applying mathematical models and algorithms for making machines learn and preparing them to adjust to the regular advancements in technology. Machine Learning will take over the world in the future, and its relevance is increasing every day. For instance, a device will soon be invented that will tell us how and when to start making changes in our diet to increase our life expectancy by 20-30 years.
Big Data: This is the unstructured data that we generate every day. It is in the form of our searches, clicks, articles, timeline feeds, videos, etc. For converting such unstructured data into a structured form, Big Data Tools and Techniques are used.
Business Intelligence: This process involves the structuring and analysis of business data. Every business generates a lot of data every day, and if the same is read properly, the management can make the best decisions for the business.