Global AI and Data Science

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Data Science and its Future

By Shyantani Bhattacharya posted Thu November 14, 2019 05:22 AM

  

When a versatile technology that can use scientific methodology, procedures, algorithms and network to extract knowledge and apprehends from organized and unorganized data is the concept platform of Data Science or we term it as Data Science.

In general, a Data Scientist is a professional who is mastered of being extracting and interpreting data and this demands both tools and procedure from statistics, machine learning and also human being. As it has been technically considered that data is never clean, so it takes sufficient time in the method of collecting, cleaning and munging data. A qualified Data Scientist will have the ability to find data from many views, even from not pre-mandated views.

In today’s world of technology booming, career as Data Scientist is highly remarkable, as it is not volatile; it has been showing immense power in staying at the technology market and has been creating opportunities for the up-coming professionals who have been pursuing data science and then preciously delivering to their hired companies and society.  

A solid educational background is very much required to obtain the in-depth knowledge of Data Science technology and it has been noticed that Data Scientists are mostly high educated: 88% are Master Degree holder; 46% are PHD, though there are some exceptions and it can’t be denied. A Data Scientist needs to also have knowledge of programming languages i.e. Python, Perl, C / C++, SQL and Java as pre-requisites.

The most crucial Data Science skills which needed to be excelled as to become a professional:

  1. Statistics
  2. Linear Algebra & Calculus
  3. Data Inherent
  4. Programming
  5. Data Anticipation
  6. Machine Learning
  7. Strong Communication
  8. Software Engineering
  9. Data Munging & Wrangling

 Data Scientist’s responsibilities does not limits only as business analytics, but they are also pre-occupied in creating data products and software platforms, and also aligning visualizations and machine learning algorithms development.

Data Scientist’s are normally educated with multiple skill sets, through which they can grip multiple data and information to support their working place, to design better strategic decisions. The data science professional’s gets the leverage of amazing opportunities to work and research and experiment with data to enhance better solutions towards the organizations.

Charged up by Big Data and AI, the demand of data science aptitude has been rising aggressively but along the way, supply of certified professionals is moving at a Tortoise speed. The present time is the best and authenticated period for the desiring candidates to enter the job market of Data Science Technology, as organization are showing their demand of absorbing skilled Data Scientists than ever as of now.

The major countries where Data Scientist requirements are high:

  1. Switzerland
  2. Canada
  3. The Netherlands
  4. United Kingdom
  5. Germany
  6. USA

As per the report of social media platform for professionals, Data Scientists opportunities are considered as the most promising in USA for 2019 and it has also scored high in one of the most popular job search engine for the last 3 years in USA.

One of the most renowned job search engine of India has reported with 25,000+ job openings for the role of Data scientist and other amalgamated reports have revealed around 50,000 openings. This normally indicates the gradual rise & requirement of Data Scientist professionals in any industry.

The Indian companies are showing interest to hire freshers as Data Analyst and Data Scientist, with basic qualification of an Engineering Degree at any stream.


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