A data scientist is someone who has a skill set and qualification in interpreting and analyzing complex data that a company deals with. This interpretation and analysis make it easier for the general public to understand it. In a company, the primary function of a data scientist is to interpret data and help the company make its decision in accordance with that data.
Data scientists are intelligent individuals who pick up a huge mass of complex or messy data and apply their mathematical, statistical and programming skills to organize, interpret and analyze it to make it understandable for the general people.
A data scientist is a profession which is needed a lot by companies. In this era, where technology is everything, companies need the data to be simplified to understand it and make crucial decisions accordingly.
In this article, we will talk about how data scientists tend to publish their work. Keep reading and find out!
Share through a beautifully written blog!
Data scientists can be working in an academic field or a company. Inside an industry, the data scientist shares his work through an internal network limited to the employees of the company or the ones to which it the data concerns. In a company, where the main purpose of a data scientist is to recommend a change in decision making in accordance with the data, the task of a data scientist working in an academic field is entirely opposite.
The research and research paper does not stay limited to a section of people, but it is available to the general public. Data scientists usually present their work through blogs. Data is something which might not be interesting to all; hence, they try to make the blog as exciting as it can be for the general people to understand.
Social media is a platform for almost everything
The data might be shared through public repositories and other social platforms such as Google, Facebook, Twitter etc. The research of learned and experienced data scientist can be looked upon by the people who aim at getting the data science training.
A research paper shared by a data scientist consists of a lot of complex data converted into organized beauty! New scientists can get an idea by these research papers from experienced data scientist about how the data needs to be sorted.
Emails have a lot of conveniences!
Last but not least, data scientists also tend to share their work and research papers through emails. If a company does not have an internal network, emails serve the need. If a data scientist is working as a freelancer for a company or individual after completing Genpact data science courses in India, he will have to use the email services to share the work with concerned people.
Working as a freelancer is something which a data scientist can easily do. They generally prefer working from home because most of the work they do is typically done on computers. Big companies who employ data scientist permit the convenience of working from home to the data scientists.
The sharing of the research data or research papers depends wholly on the data scientist. If working for a company, the company may not allow the scientist to share the data publicly but internally. If you are thinking to make this well-paid post as your profession, there are a number of Genpact data science courses in India after taking which, you can get the data science pro degree which makes you eligible to be hired by a company dealing with complex data.