Recently, there has been a surge in the consumption and innovation of information-based technology all over the world. Every person, from a child to an 80-year-old man, use the facilities the technology has provided us. Along with this, the increase in population has also played a big role in the tremendous growth of information technology. Now, since there are hundreds of millions of people using this technology, the amount of data must be large too. The normal database software like Oracle and SQL isn't enough to process this enormous amount of data. Hence the terms 'Big data' and 'Data Science' were coined. Big data has made quite an impact on the world and data science has recently risen to be one of the hottest topics. Now how are these two related?
What is data science?
It is the field of science where different scientific approaches and methodologies are combined in order to study information technology. In layman language, it is technically the science for studying data. This particular field has grown tremendously over the years and presently almost every university has professors and students researching on learning and exploring this field.
Why is it such a hot topic though?
There has always been a need to record the data made by people which will help in predicting the future and also in studying the evolution of people's way of living. It here plays a big role in recording, managing and retrieving this data. It is required to manage the large number of patients being admitted to hospitals, cars being manufactured per day, predicting the climate condition of the future years and whatnot.
What more to know about it?
From the examples given above, you must have realized that technology is everywhere. Do you know how Netflix knows the movies and shows you might like? Well, it is all because of data science. It uses machine learning algorithms and approaches to understand the requirements of yours and helps you by being one step ahead of you. The languages which are used in this field are Python, Java, SQL, etc. Before you step into a world of data science, it is important that you have a good amount of knowledge of mathematics and computer science along with these languages. Both can be considered as the basic requirement of this subject.
There has been a rise in the demand for data science as a subject in the universities, but unfortunately, there is not a particular curriculum that can be followed in this field since it is a very generalized field. What's interesting is that data science has been confused with data analytics many times. In case you face the same problem, you should know that the basic difference between the two fields is that whereas in data analytics one studies the past of the data, in data science you will not only study about the past but also the present and the future of data. It is also said that data science is the base of artificial learning and everyone knows how artificial intelligence has made a dramatic entrance into our lives.