Data science is one of the most in-demand skills in the market right now. Hence, there is a rising demand for data science professionals all over India and abroad. According to data science institution experts, the data science market is to grow in size to at least one-third of the IT market globally from the currently prevailing one-tenth. There is a considerable gap between the demand and supply of data scientists. The industry demands are largely unmet with a meagre amount of qualified data scientists. So, it’s high time to present yourself as a qualified data scientist by taking up a relevant data science course from one of the top institutions. Let’s look at the various options of getting yourself qualified, the current trends, scope, and demand for data science in India.
How is e-learning growing in India?
The most effective way of updating yourself to the latest trends and technologies is to take up an excellent e-learning course. According to an article on Economic Times, KPMG has announced that the number of Indian users who went for e-learning was 1.6 million in 2016 and it is expected to grow to 9.6 million users by 2021.
The IT landscape keeps changing, and professionals will have to upgrade themselves every 3-4 years. They will have to learn the latest technologies according to market trends. For example, Cloud and DevOps have kicked in post-2013 and have replaced the traditional way of infrastructure management, including virtualization.
The best way to upskill and reskill yourself is, of course, by e-learning courses. Busy professionals don’t have to travel down to a training institute and waste time on commuting. They can opt for flexible timings and comfort of their homes by going with an e-learning course, which will give all the benefits of classroom training in terms of learning. So, check out the best data science e-learning courses and opt for one.
Current trends related to Data Science in India
Data science is undergoing radical changes and shifts in the market. Other technologies like IoT, voice recognition system and blockchain have started heavily depending on data science. Below are some of the emerging data science trends and applications:
Automated Machine Learning (AutoML)
AutomML is growing in prominence. It is an automation layer on top of machine learning (ML), boosting the development efficiency and overall productivity of data scientists. The data science tasks like data preparation, choosing data sources, and feature selection are repetitive and monotonous. AutoML looks into automating these tasks. AutoML can also perform quality modelling and fine-tuning of artificial intelligence (AI) and machine learning algorithms. Giants like Facebook and Google are already using AutoML for their internal data science processes.
Quantum computing
Quantum computers are known to perform complex calculations in supersonic speed, completing the computational tasks in a few seconds. The quantum bits (QuBits) can store a large volume of data and run complex computations in split seconds. Companies like Intel, Google, and IBM, are going to be the pioneers of this industry, but they are yet in their humble beginnings.
Edge computing with data science
Edge computing is the technology by which the more amount of computation happens on end devices. Edge computing has pushed IoT one step ahead, and with the data science industry backing the end device computations, edge computing is all set to hit the markets in a big way.
Blockchain
Blockchain is a highly secured ledger-based system that requires data science. Notably, data science has shaken hands with blockchain technology to implement new security measures and processes.
Scope of Data Science in India
Data science has a bright future ahead, but the learning path is not so easy. You will need to master Python, R, SQL, and other technical skills along with statistics, mathematics, and core computer science concepts. Due to the steep learning curve, most people don’t step into data science, and this has created a big void in the demand-supply chain for data science professionals.
According to an article on Hindu Business Line, there are 97,000 job positions left vacant in India. The rise of data analytics and AI-based companies has yielded a sharp increase of 45% in data science jobs last year alone. When a general software engineer gets an average salary of ₹450,000 in a year, a data scientist gets paid an average salary of ₹650,000 per annum. Hence, there is a rising scope for data scientists in India, and opting for data science as your career will increase your demand in the market.
Demand for Data Science Courses in India
According to an article on yourstory.com, there is a high demand for entry-level or junior-level data science talent. Around 70% of the data science job openings were for candidates with less than five years of experience, of which 21% were for pure freshers. Another 31% of open positions were offered to professionals with more than five years of industry work experience. The high demand for a data science professional has got most software engineers reskilling them to cater to the needs of the data science industry. Choosing the right skilling or reskilling providers can better help you land in these open positions.
Many institutes have come up with their courses to fill the apparent gap in the skill sets. Tier 1 colleges like IIM Calcutta, IIT Kharagpur, and ISI Kolkata have come up with Post-Graduate Diploma in Business Analytics (PGDBA), which is a pretty decent 24-month course for data science professionals. The Indian School of Business (ISB) is offering a Certificate Programme in Business Analytics, which is a 15-month course. Though these courses are expensive, you get the advantage of placing a label of a tier 1 college in your resume. Apart from these, several other colleges and training institutes are providing a Post-Graduate Certificate in Data Science. These pieces of training usually span across 12 months.
One major disadvantage of these classroom courses is that you may need to give up your current job and compromise on your salary. You also may not have the flexibility and time freedom. So, why not opt for an e-learning course from one of the top reskilling institutions in the market.
