How to make a successful career in Data Science?



Blooming with opportunities, Data Science has emerged as one of the fastest-growing industries in the world. Owing to the crucial role it plays in the advancing world, it is no surprise that the demand for professionals in the industry has been increasing in the past few years. 


Though there are enough jobs in the Data Science sector, there aren't enough professionals to fulfill that demand, thus making it one of the best career choices for undergraduate students. 

So, let's try to understand what the Data Science sector is, the career prospects it offers & how Engineering students can make the most of opportunities in the field.


What is Data Science?


Data Science is the field of science that deals with the analysis & structured study of data gathered from multiple sources and deriving useful insights from it. An amalgamation of mathematics & computer science is used to decipher large amounts of data and gain insights that can be leveraged into actions. Advanced machine learning models are used to predict customer & market behavior based on the data collected. 


Opportunities in the Data Science Sector


The Data Science sector grows parallel to the technologically advancing world & plays an important part in its growth. The exponential growth of the sector is apparent by the fact that it is expected to grow in India from $2 billion to $16 billion by the year 2025. Another statistic claims that the Data Science & Analytics sector is expected to create as many as 11.5 million jobs by 2026.


 Increasing demand in the sector along with the current global shortage makes it a profitable career choice to pursue. Where Big Data & Advancing Analytics create more jobs for researchers, sectors like banking, Retail, Telecom, Healthcare & more require data scientists for growth. Data Science offers jobs across various esteemed designations including - 


  • Data Scientist

  • Data Engineer

  • Data Analyst

  • Data Architect

  • Analytics Manager

  • Statistician

  • machine Learning Engineer

  • Database Developer

  • Database Administrator

  • Business Intelligence Analyst

  • Data Mining Specialist


What does it take for a successful career?


Data Science is one of the most sought-after sectors today in terms of lucrative career options. To make a successful career as a professional in the Data Science Industry, you must consider the following prerequisites.


  • B.E in Data Science

A bachelor's degree in Data Science is the least you need to make a successful career. It will help you gain all the relevant knowledge of the sector that you would require even for an entry-level job. Academic qualification is always an added benefit to your skills as it proves to be evidence of your competency, making you eligible for reputed firms globally. So, you must consider finishing your Bachelor's in Artificial intelligence & Data Science Engineering if you wish to make it big in this sector. 


  • Upskill yourself

If you wish to stand out in your work, just a bachelor's degree won't cut it. You will require an advanced set of skills that will aid your career. This includes staying updated with the trends of the Data Science industry and learning new skills relative to Programming, the latest machine learning techniques, Data visualization, Risk Analysis, Statistical Analysis, Data Mining, Big Data, Cloud Tools, Data warehousing & more. You can join external courses to do this. 


We hope this guides you on your journey to being a data science professional. It is one of the best engineering fields that students must consider while taking up the course for their graduation. It is not only financially lucrative but also promises consistent learning as the sector is ever-growing. 


To know more about our graduate course in Data Science, visit our website. You can also follow us on Facebook, Twitter, Instagram, LinkedIn & YouTube.


Reactions

Post a Comment

0 Comments