How to Become a Data Scientist in India & Why it’s a Hot Career Choice in India

How to Become a Data Scientist in India? From an area that didn’t exist just a few decades ago and is now being promoted by many as among the most popular options for careers in the coming decade,” Data Scientist” is the latest career buzzword for the younger generation in the present.

According to a report published in the Talent Supply Index (TGI) report earlier in the year, India is seeing the rise of 400% in demand for professionals in data science across all industries. In contrast, the supply has increased by just 19%.

With these impressive numbers proving the growth potential, Data Science is turning into an excellent option for young people who are adept at using technology to find a lucrative job.

This post will explore the steps to becoming a data scientist for yourself and what makes this field popular in the Indian world.

However, we’ll get to that later. Let’s first try to get a better understanding of what means by Data Science?

What is Data Science?

As the name implies, it is a field of study based on data at its core.

Data Scientists are specialists in gathering, studying, and analyzing the impact of data on various businesses.

They employ several tools like machine learning, technology, and diverse mathematical and statistical concepts to achieve this.

They also develop unique algorithms that allow them to analyze the data effectively and find patterns that could enable businesses to make better business decisions.

One example could be Netflix, The well-known video streaming service that relies on data scientists’ services extensively to analyze viewing patterns to create better recommendations for movies to its subscribers.

The reason it is an attractive career choice in the present?

Data is everywhere in the present. We need to fill in the personal information to establish accounts with banks for the photos we regularly upload on popular photo-sharing websites. All data.

In this age of technology, information is power.

This is the reason why tech-savvy businesses and organizations are focusing all their efforts on mining knowledge from this massive amount of data and help them analyze their progress, design more efficient solutions, and make better choices.

Some well-known corporations have begun to allocate a significant budget and team for R&D within India.

Companies such as Boeing or Societe Generale are already reportedly investing in accelerators for startups (for advanced technologies). Others like Panasonic, MasterCard, and Air Asia have decided to set up their innovation centers here.

This has resulted in massive demand for skilled experts in data science despite the meager supply.

A recent study by Advancer and AIM in the United States, which is second only after the US, India has the most significant number of open positions for data analysts totaling 78,000 jobs that are unable to fill because of the lack of supply.

It’s a nearly 57% increase in open job requirements compared to the same period the year before.

But that’s not all. The study also reveals that the number of new analytics jobs advertised each month increased by nearly 76% between April 2018 until April 2019.

Century. It is now evident all over the world. It’s no surprise that Data Science is already being called one of the top careers of 21 century.

How do I get a job as the Data Scientist in India?

To be successful as a data scientist, you must have a broad knowledge of various fields. This includes Computer Science, Mathematics, Statistics, and hacking/coding.

Furthermore, you’ll require a deep understanding of any field of science or business and a grasp of the latest disruptive technologies such as Artificial Intelligence (AI) and Machine Learning.

Put the UG/PG degrees in related fields such as Statistics, Economics, Engineering, Mathematics, Computer Science can give you an advantage in your path to the area of data science.

Therefore, to create an occupation as Data Scientist, Data Scientist, degrees in Mathematics, Statistics, Economics, Engineering, Computer Science, etc., can provide a solid foundation.

It is a good idea to start by looking up some of the pertinent programs offered by the best institutions in the list below.

  • IIT Mumbai Mumbai (Five-year postgraduate Degree in Mathematical Sciences)
  • IIT Kanpur (IIT) Kanpur (UG Courses in Mathematics as well as Scientific Computing)
  • Indian Institute of Science Education and Research Indian Institute of Science Education and Research (BS/MS course focusing on Science).
  • Indian Statistical Institute – (B.Math – Hons, B.Stat-Hons).
  • Delhi University – (UG/PG courses in Math, Statistics, Economics, and Computer Science (among other classes).).
  • P Jain School of Global Management – (Certificate Program in Big Data and Analytics (BDAP)
  • Great Lakes Institute of Management (Chennai) – (PG Program in Business Analytics).
  • Aegis School of Business (Mumbai) – (PG Program in Business Analytics & Big Data).

Skills Needed to Become a Data Scientist.

Alongside academic proficiency in the above areas being successful as a data scientist requires broad-based knowledge in certain areas, which includes;

  • Expertise in programming languages, including Python, Java, C/C++, and Perl.
  • Experience with the various software utilized in data analytics such as Hadoop, Tableau, R, and SAS.
  • Ability to solve problems quickly while engaging in critical thinking.
  • You need to be able to perform rapid mathematical calculations and be skilled in using statistical tools.
  • Additionally, you should be familiar with the application and use of SQL Database techniques and be adept at visualizing data.

Career Opportunities in Data Science?

Since it is a multi-functional field, data science can be described as various roles available within the area. Some of the most prominent roles include:

Data Scientist

The most important role is for a data scientist who is skilled in analyzing and reading data patterns that can assist businesses in saving money by making better choices. The job requires mathematical and statistical models to analyze data and find the most effective solutions.

Data Analyst

A data analyst is skilled at dealing with massive quantities of information related to diverse types of businesses. They employ various statistical tools to analyze the data to find essential details (costs traffic, costs, buying trends, sales revenue). Based on this information, firms make vital decisions to expand their business.

Business Intelligence Specialist (BIS)

The BIS is a professional trained to use statistical software (SQL) that conducts actual market research for various kinds of information before producing reports to study the trends in business. These reports are distributed to the company’s upper management, which adjusts the data models.

Data Engineer

This job is ideally suited to software engineers as they are more focused on programming aspects and implementing the suggestions and recommendations made by data scientists related to the non-analytical part of extensive data.

Database Administrators

Sometimes referred to by the name of Data Managers, they’re responsible for arranging data and effectively administering unstructured data by checking and maintaining it regularly. They also develop the database infrastructure and databases that are used to manage the process.

In Conclusion

With more companies realizing the significance of data analysis when determining the future direction of their businesses, there is a steady increase in the need for highly skilled data specialists who can master new concepts such as Data Science, Big Data, AI, and Machine Learning.

This exploding demand has pushed this particular field up to the top of the most sought-after jobs lists in India.

For an IT professional who is young and looking to accelerate their career while looking to the future, developing the necessary skills to be a data science may be the key to an exciting and rewarding career.


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