Why world needs more data scientists?

Introduction

Before the start of the discussion on why the world needs more data scientists, we should know "who are data scientists?” and “why they are so important?”  Someone who analyses big data and brings out many valuable, short and important data is known as data scientists. They are the one who creates machine learning tools for various professional companies. One very interesting and talking point about them is that data scientist is a mixer of engineer and scientist. In early days data scientists are not much required but now by the increase in technology their demands and importance has also increased. There are so many important data every company has so it became much more important to protect them. A data scientist is only one who can give you 100% guarantee of securing your company’s data.

Knowledge of data science

Science is one of the most read subjects in the world as it is very much interesting and has proved the fact that is the reason why students love to choose as their main paper in higher studies. Although if we look at the demand for data science, it is very high there are very few data scientists with technical skill who can provide data mining at its best. So it is very much necessary to know what data Science is. 

It is just like computer science where everyone wants to be a programmer as demand is very high. This same is happening with data science also. Its course requires a lot of knowledge about laws of economics which deal with supply and demands. In 2016 data science was the highest paid field in every sector in the world.

One needs to show interest

Technology is becoming advanced day-by-day and demands of data analysts is also increasing, so it is required to produce a large number of data scientists or engineer. This can be possible only when a student shows their interest in this field. So how can they choose data science without knowing about it? A subject like data science deals with marketing issues as Google analyst. Other than this creative data visualization is also required in data science field. Many multi-national companies are hiring data scientists at very high salary. As data scientists, you need to have sound knowledge of programming languages like R and python. One who has knowledge of these languages and has some advanced knowledge of Google tools can easily get into the field of data scientist.

More responsible and more skilled

Having so much important data about a company, a data scientist must need to carry out some responsibilities. It also very essential for a data analyst to have proper skill and knowledge about the technology they are using because every company has different types of data handling system. Some responsibilities like enhancing data collection must be relevant and include all the procedure step by step under several security measurements for high-security protection of data.

Let’s discuss some responsibilities of a data scientist:

•          They must have an analytical mind for data mining.
•          Must have the talent to extend business by spreading company’s information to a third party as and when required.
•          Analyzing  the use of data by verifying it through  many processes before presenting it to a business analysts

These are some basic responsibilities that every company wants.  These qualities in their staff members also require as working with data scientists requires a lot of knowledge. Along with machine learning, they must have qualifications in some very important algorithms and common data science. With these skills, they must carry out their responsibilities with more promise.

Importance of a data scientist

 So, now we know data science and scientist, their role and about their responsibilities. These are the reason why they so much important for the world. Having so much knowledge and creative innovation make them more demanding. Some of the world's bigger companies are hiring them as they have to do a huge amount of data processing.

•  Google - they have a maximum number of data than any other company, or we can say that their working is fully dependent on data science. The perfect example or definition of data science. They use advanced technology to make any strategy or to evaluate their working. So they require data scientist with proper knowledge of all above-mentioned subjects and technology.

• Amazon – it is biggest e-commerce company in the world right now. Their every product comes with data protection. They have a certain algorithm in their database which deals with buying and selling customers and also keep records of all products which is being visited by users. Whenever you select any product, it is checked in their database by following some algorithm and then you can able to see that product on your screen. All these processes of Amazon are fully digitalized and data protected and requires the large operational unit of data scientists.

• Facebook – the largest platform for social media handling where people can share what they want and can make friends and can chat also. On Facebook, personal data of every user is saved and according to your data and likes,, they show you ads and your interest on your Facebook page. All these are just because of proper data analyzing. A big unit of data scientists is seating in Facebook office who are looking at you just by seeing your activity and make a decision what to show you according to your daily activity.

Conclusion

If you are a programmer with some advance knowledge of some new Google tools, then you are the perfect choice of becoming a data scientist. Data science requires a large amount of data processing because the world is completely dependent on internet and sources on the internet are nothing but a collection of data. Whatever we search and result displayed on the screen is controlled by data administrators who are seating with well qualified and skilled data scientists to work very secretly. As mentioned some days ago by Google CEO about the need of data scientists is very much right, the time has come when world requires a large amount of data analysts or scientists because everything in this world is data driven so it is very important to keep data secured.