People are frequently hearing the word data science, machine learning and artificial intelligence but they do not have much knowledge about these terms. Data science is a new technology which uses data in an effective manner. It is a technology in which raw data is collected and processed. It is becoming the new strategy for business executives to run their business productively. So, basically it is a technology in which raw data is collected and the collected data is processed in an effective manner. Processing of data is very important. Not all the data we collect is useful. By processing data, we mean useful data that is extracted from the collected data and then used in such a manner that it gives an effective output.
It is a boon to the industry. It is important because indirectly or directly, we do work in our daily life by exchanging data. For example -> People are purchasing things online and doing online transactions for which they need to enter their bank details (collecting data) and then, after some steps, they are done with their payments (processing data and getting output). It is needed becausedays, and in future as well, all our daily work would be dependent on data and it is a technology which uses our data effectually and gives the desired output. This would be clear when we talk about applications of data science.
After catching on what is data science and why we need it, we are coming to the requirements of data science. If we talk technically, the programming language which the data science use is python. Python is an object-oriented programming language. It is one of the topmost programming languages in the present time. Python does not use data types. The code of python language is like the simple sentences we write in English. It does not need to follow any syntax like other programming languages. These are some properties or advantages of the python language which makes it user friendly. People who are willing to work in this field should learn python.
It has a very great future. As I said, technologies are changing day by day and people are becoming used to them. Technologies are getting advanced and the industry would require more skilled persons to maintain them. Advanced technologies are primarily based on artificial intelligence, data science, machine learning and many more. For example -> lights turn on automatically when the person enters the home, and turned off when they exit. Technologies are becoming more data dependent. So, itis a very nice option for the people who want to make their careers in the technical industry.
APPLICATIONS OF DATA SCIENCE
Below are some applications which would better clarify the significance of the technology.
- From the definition, it is clear that it is a technology which collects data and processes it effectually. When we search things on the internet, the search engine gives the desired result in the minimum time. That is what data science. It collects and after processing it gives an optimal output.
- If we talk about medical applications, then machine learning plays an important role. All the machines we use for detecting diseases or for scanning bodies are manufactured through the concept of machine learning.
Machine learning and artificial intelligence are new fields in the technical industry. These are some applications and there are a lot more.