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In the world of data science





As the world is growing day by day, new data is being produced every day which is a good thing because this is the basics you should know when entering in the field of data science.
There are major fields, which deal with the aspects of data handling. These fields are data science, Big data and data analysis.
Data science vs Big data vs data analysis
Data science
The field of data science deals with the aspects of data preparation, data analysis and data mining. It basically deals with the structured and unstructured data. While working in the field of data science, one has to deal with the data that would be further used in search engines, digital advertisement etc. Which can consider as the core examples of data science.
Big Data
It deals with the data and insights that can be further be used as for strategic business moves and decision. Big data basically deals with the business strategies that can be generated with the help of the humongous raw data. It keeps an important role in the companyâs development. It is the content for making strategic move and decision of the company. The complex and useless data is converted into a new form which decides the whole future and level of the company. All these big data are filled with an innovative idea, but had a background of uselessness and liability.
Data analysis
Data analysis is the art of dealing with the enormous raw data and analyzing and drawing some conclusion out of it. Data analytics process the complicated and uncanny data into fruitful conclusion. Algorithmic and mechanical process are the main deriving tools of insights.
The skills required to become
Data scientists
To enter in the field of data science one should have an in-depth knowledge of SAS and R. Python programming is mostly used in data science along with Java and C. Having a good command in algorithms and dealing with unstructured data is being preferred in this field.
Big data scientists/professionals
Mathematical statistics and probability is the most common area that is one should have some great skills on, even be it in the field of data science or data analysist. As big data deals with the business aspects of data, having a good knowledge in the field of business field is preferred.
Data analyst
To become a data analyst, one should be fluent in machine learning or at least have some hands-on fluency in this area. Good programming skills are must as the main responsibilities of the data analyst is to analyze the data using algorithms and programs.
Salaries in each field
The average salary of a data scientist is $200,000 to $100,000 per year. Which can increase as the seniority in this field increase. The average salary of a Big Data specialist is $62,000 to $70,000 per year. While the average salary for a data analyst is $60,000 to $65,000 per year.

Resource box
There are many courses in the market that will guarantee you the all the material provided to become a data scientist. But Excelr offer you the best data science course.
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Article Added on Friday, January 11, 2019
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