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Why Data Science jobs are in high demand

Before this we understand What is Data Science?

Data science is a multidisciplinary blend of data inference, algorithm development, and technology in order to solve analytically complex problems because, It is the study of data and it involves developing methods of recording, storing, and analyzing data to effectively extract useful information therefore, the goal of data science is to gain insights and knowledge from any type of data — both structured and unstructured.

Everyone seems to be asking this question these days. Why Data Science jobs are in high demand? Answer is here–

Huge Job Opportunities & Meeting the Skill Gap

There are indeed a huge jobs opportunities in Data Science. If a person having some technical skill he might be a Data Scientist. Some of skills are require for data scientist are- Python Coding, Hadoop Platform, SQL Database/Coding, Apache Spark, Machine Learning and AI, Data Visualization, Unstructured data. Therefore, Data Scientist being a ‘Hot’ job, there is still a large number of unfilled jobs across the globe due to shortage of required skill.

To get in-depth knowledge on Data Science, you can enroll for live Data Science Certification training by Edureka with 24/7 support and lifetime access. Link is here- https://www.edureka.co/data-science

Salary Aspects

the average salaries for analytics professionals in India is upto 5-7 LPA but a person is having a experience of 2-4 Year in Data Science then he/she would demand for 10-15 LPA. A look at the salary trend for Big Data Analytics in the UK also indicates a positive and exponential growth. In India, the experience strongly influences the pay. Those with the right skillset earn as high as 19 LPA. (source PayScale)

 

A key factor in decision making

Good decision-making is very important to companies and institutions running efficiently and overcoming obstacles. With the help of data science companies, decision makers are now able to make better-informed choices than in the past by shaping and filtering the data their organizations have collected. By using this data, they are able to make predictions of the future based on what would happen if they decided to take their organization in a brand new direction.

For more information you can click on the following links- https://towardsdatascience.com/how-data-science-is-enabling-better-decision-making-1699defd6899

 

It is used everywhere

Data Science is used everywhere, in every industries like- Healthcare, consumer, manufacturing, banking, technology, energy, etc.

The X factor

 
Being a Data Scientist is incredibly cool with top data scientists working at Google, LinkedIn, Facebook, Amazon, and Twitter. It is no wonder that the Harvard Business Review branded Data Scientist as ‘the sexiest job of the 21st Century’. The responsibilities of a Data Scientist are exceptional and unique to the job role. The nature of their work allows them to advance in their career, incorporating multiple analytical skills over various domains such as machine learning, big data, etc. This pool of knowledge provides them with an irreplaceable X-factor.

Numerous choice in job title or types of Analytics

From a career point of view, there are so many option available. Since Analytics is utilized in varied fields, there are numerous job titles for one to choose from.

  • Big Data Analytics Business Consultant
  • Big Data Analytics Architect
  • Big Data Engineer
  • Big Data Solution Architect
  • Big Data Analyst
  • Analytics Associate
  • Business Intelligence and Analytics Consultant
  • Metrics and Analytics Specialist

 Low Entry Barriers for Existing Professionals

Since data science is, comparatively, a new field, it allows entry to diverse professionals from an array of different backgrounds. Many current Data Scientists comes from mathematics/statistics, computer science, engineering, and natural science disciplines. Some even have degrees in economics, social science, and business. They have all managed to foster a problem-solving spirit and have up skilled themselves through online or formal courses.

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Swati Sinha