Why pursue a career in Data Science After 12th

There are many benefits to pursuing a career in data science because it’s high in demand. Also versatile in nature offering high paychecks. Regarded as the fastest-growing and evolving profession in the 21st century with huge career opportunities and popularity in the marketplace. Because of the huge advancement in technology, we are witnessing today companies are eagerly focused on collecting data to obtain insights. Are You interested in this field? Okay then, in this blog, we will be talking about the demand and scope of data science. Also, how you can become a data scientist.

 

Who are Data Scientists?

Before we go any deeper into the topic first, let’s talk about the MCs of the modern world. They are called “Data Scientists” Who have great knowledge of statistics, math, and computer science. They have the prowess to collect, analyze and interpret unimaginable amounts of data. Data scientists lead the workforce by motivating the management teams to make better decisions, making strategies according to the latest trends, identifying opportunities in the market and identifying the target audience.

Technical Skills Required to become a Data Scientist

  • Programming Skills
  • Excellent understanding of SAS and Analytical Tools
  • Can handle and work with unstructured data

 

Non-technical Skills Required to become a Data Scientist

  • Strong Business Acumen
  • Excellent Communication Skills
  • Outstanding Data Intuition 

 

Why is Data Science getting popular?

With the development and advancement in technology, big sets of data are rising heavily which is accessible to human society. It is expected that by the year 2025 the volume of global data will reach 180 zettabytes. Every industry has recognised the importance of data for example automotive industry, BFSI, and the Media&Entertainment industry. More and more companies are opening their arms to collect a large amount of data and to further use its potential to rise business. These reasons have made data scientists one of the essentials of a company. As said by Geoffrey Moore “Without big data analytics companies are blind and deaf, wandering out on the web like dear on a freeway”. 

 

Demand for Data Scientists in India

In the “Humans of Data Science” report by Michael Page a Jobs and Recruitment Agency, it is revealed that data science will create 11.5 million job opportunities by 2026. India ranks second after the USA in generating the most data scientist job opportunities. Some of the top-tier and famous data scientists in India are Anand S. Anand, Chandra Mouli Kotta Kota, Hindol Basu, Joy Mustafi and Nilesh Karnik. Now you might be aware that there is a huge scope of Data science in India. 

Best Companies for Data Scientist In India

  • IBM
  • Citrix
  • Wipro
  • Amazon
  • Splunk
  • Accenture
  • Deloitte
  • Flipkart
  • Cloudera
  • Numerator

 

Also Read: Career and Scopes after BCA with AI and Data Science

 

How to Become a Data Scientist

If big sets of data mind-boggle you then this field is for you. To become a data scientist you need a degree or diploma in Data science course. For example, earning a bachelor’s degree in:

Eligibility Criteria - The candidate must have passed the 10+2 examination or equivalent in any stream with mathematics as one subject and with a minimum of 50% aggregate marks.

Eligibility Criteria - Candidate must have passed 10+2 examination or equivalent in any stream with mathematics/IP and CS as one subject with a minimum of 50% aggregate marks

 

A Career in Data Science

After completing any data science course you have ample amount of job opportunities. A lot of advancement is going for the future which will eventually rise career options in this field. Data Science offers high salary packages which can be lucrative. It is a competitive field and you need to put a lot of hours and efforts to rise up.

Various Job Profiles

  • Data Scientist
  • Database Administrator
  • Process Analyst
  • Machine Learning Engineer
  • Data Collector
  • Data Solutions Analyst
  • Web and Social media analysts
  • Data Mining Engineer
  • Data Architect