Nowadays, we are very familiar with hearing the word ‘Data Science’. What does it mean? It is the science or technology which focuses on collecting raw data and processing it effectively. In all our daily work, indirectly we work on storing and exchanging data. With the rapid development in technology, the need for storing data effectually is also increasing. That’s why it needs to be handled properly. So basically, it is discovering hidden insights of raw data and using them for productive output.
Now, why do we need data science?
It is emerging as a boon in the industry. Companies are more focused on data mining to make their business more productive. They are working more on the data-driven approach, rather than other strategies to bring the firm to the top in the market. According to surveys, the demand for data scientists is increasing day by day. We collect, store and process data every second. For example–> In a hospital, the information of patients is recorded every minute. Everyone is using net banking for online transactions, in that too we are giving our data on the sites (PIN, account number, etc.) and the data is processed to give the output. So, the security of our data is also important. We can take the example of ‘Netflix’ too. What Netflix does is it insights the interest of the user and then arranges the movies and TV series pattern according to them which has made it popular. There is a good future in it for those who are interested in the technical world. There would be many jobs with high packages available in the future. So, in this way, it is helping the industry and that’s why the demand for data scientists is increasing.
PYTHON FOR DATA SCIENCE
Now, after understanding the importance, the question that arises is ‘How should it be done?’ It uses the Python programming language. Python is among the topmost languages at this time. Python is beating Java in the data science market. Python is an object-oriented programming language and it has features that make it more user-friendly for programming. For example- We don’t need to write data types, there is no need for syntax; we can simply just write the code. It has more functions compared to other programming languages. Python is the programming language that works on all things from data mining to building websites. So, python has great use in the data science market. Anyone who is seeking a future in the data science industry should learn python.
So, there are many online courses available on the internet that teach a complete course of data science, including many topics like data integration, data mining, python, etc. and provides certificates as well. Students have to complete assignments and projects on time, which ensures experience to the students. There would be online examinations too. So, you can check out for online courses on the internet.