What is data science and why do we need it?
Today, we are very familiar with the word ‘Data Science’. What does it actually mean? It is the science or technology that focuses on collecting raw data and processing it effectively. In all our daily work, we work indirectly on data storage and exchange. With the rapid development of technology, the need to store data efficiently is also increasing. That is why it must be handled correctly. It’s essentially about uncovering hidden raw data insights and using it to get productive results.
Now why do we need data science?
It is emerging as a boon in the industry. Companies are focusing more on data mining to make their businesses more productive. They are working more on the data-driven approach, rather than other strategies to bring the company to the top of the market. According to surveys, the demand for data scientists is increasing by the day. We collect, store and process data every second. For example -> In a hospital, patient information is recorded every minute. Everyone is using net banking for online transactions, in that we also provide our data on the sites (PIN number, account number, etc.) and the data is processed to give the output. So the security of our data is also important. We can also take the example of ‘Netflix’. What Netflix does is: it perceives the user’s interest and then organizes the pattern of movies and TV series 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 will be many high package jobs available in the future. So in this way, you are helping the industry and that is 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 most important languages at the moment. Python is overtaking Java in the data science market. Python is an object-oriented programming language and has features that make it easier to use for programming. For example, we do not need to write data types, the syntax is not necessary; we can just write the code. It has more functions compared to other programming languages. Python is the programming language that works on everything from data mining to website building. So Python has a great use in the data science market. Anyone looking for a future in the data science industry should learn Python.
OUTLINE
Therefore, there are many online courses available on the Internet that teach a complete data science course, which includes many topics such as data integration, data mining, Python, etc. and also provides certificates. Students must complete assignments and projects on time, ensuring student experience. There would also be online exams. Therefore, you can check the online courses on the Internet.