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What is data science? A 2 Z of fastest growing technology of the world

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What is data science? A 2 Z of fastest growing technology of the world

(What is Data Science)

Data science, the branch of science in which data is studied, in the same way as in space science, we study space.

Let us understand in detail,

There are many branches in the subject of science such as: – space science, biology, zoology, medical science, industrial-science etc.

Subject related data is very much in all of these and keeping all these data in a structured manner, studying it is not an easy task.

All these sciences are related to their own related subjects.

Whereas data science is such a science in which the data related to any subject of the world has to be kept in a very structured way.

So that further this data can be used in any analysis and desired information can be obtained.

Till a few years ago, no one knew anything about data science and today data science is a great need of the world.

why data science is important | Why is data science necessary?

Friends, whether it is education or business, healthcare sector or space research, tourism or grocery, there has been a lot of expansion in all fields.

A lot of data is generated in all the fields and it is a very difficult task to record, store or process/analyse all these data and also to get any specific desired information.

There are many mistakes in this, a small mistake can make a big difference in the final result.

In view of all this, a science was needed which could record, store or process/analyse not only Gigabyte (GB) or Terabyte (TB) data but also Petabytes (PB) or Exabytes (EB) data. Along with this one can get any specific desired information.

So this type of science is called data science.

In data science, both structured or unstructured types of data can be used.

Computers are used in data science but it is completely different from computer science. data science is mainly the science related to statistics

In which comes data collection (gather) data organization, data analysis and data presentation.

difference between data science and data mining

Most people remain confused about what is data science and what is data mining.

Data mining is a sub-discipline of data science, in which the data of its work is extracted from very large data and some specific software is used for them which are called data mining tools.

List of data mining tools used in data science

Many tools are used, some of which are as follows:-

  • R-Programming
  • SAS Data mining
  • Rapid Miner
  • Oracle Data Mining
  • Orange
  • Apache Mahout
  • Advanced miner
  • Analytic Solver
  • Sisense
  • Tanagra etc.

Who is a data scientist?

Those professional experts working in data science, who work on big data (very large amount of data), do data mining.

And according to the requirement of his company / clients, share his data analysis with the senior leadership, management or his clients of the company, are called data scientists.

Today there is a lot of demand for data scientist, data analyst in companies like amazon, flipkart, paytm.

Also Read : Career In SEO: Search Engine Optimization

career in data science

Career prospects in data science:-

  • Machine Learning Scientist:-

It is they who research and develop different methods of data analysis and different algorithms.

  • Business Analyst,Data Analyst:

It is they who, by analyzing a large amount of data, collect information from it according to the need of their company.

  • Data Consultant:

It is they who see how to use the information gathered after data analysis in their business.

Similarly other jobs of data scientist

  • Machine Learning Engineer
  • Big Data Engineer
  • MIS Reporting Executive

data science

How to become data scientist in India | eligibility to become data scientist

Eligibility to become a Data Scientist :-

to become a Data Scientist, you should posses bachelor’s degree in Computer science, Social sciences, Physical sciences or/and Statistics.

there are large numbers of data scientist having Mathematical and Statistical (32%) background, followed by Computer Science (19%) and Engineering (16%).

if you have any of these educational background then it would be easy for you in getting skills to process and analyze big data.

Data scientist has a very bright future in India that’s why highly educated people are learning data science and want to switch their jobs to become a data professional.

You can understand this thing in such a way that about 6% of data scientist in India have done Ph.D, while 50% of data scientist’s education is post graduate and there are a large number of graduates.

Today people with different educational background are working in data science.

Those who have degrees in computer science, economics, finance, business studies, statistics and mathematics.

List of Top 10 Data Science Companies in India

Major data science companies operating in India

Starting salary of data scientist in India | data science jobs in India

Data science is a very fast growing sector in India because after USA, India is the country with the most jobs in data science in the world.

The starting salary of a data scientist is 4,00,000 to 5,00,000 per annum (per year).

Whereas 6,00,000 to 7,00,000 per annum (per year) after 1 to 4 years of working experience / working efficiency

and 10,00,000 to 12,00,000 per annum (per annum) after 5 to 10 years of working experience / working efficiency

And after more than this work experience and proficiency 16,00,000 to 20,00,000 / annum or even more.

Also Read : What is cloud computing ? | cloud computing an emerging technology in detail A 2 Z

if you want to read this article in hindi

click here : data science in hindi | data science kya hai ?

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