Digital transformation has completely changed the way businesses compete. Having a digital-first mindset is allowing businesses to connect with consumers anytime, streamline their processes, and offer best-in-class products and services. India is one of the fastest-growing markets for digital customers and businesses are being encouraged to digitize their operations.
As per a study by Analytics India Magazine, the cumulative analytics market in India stood at $30 billion in 2019. The domestic analytics market reached $3.03 billion in size and is expected to double by the year 2025. Information Technology, finance and banking, and marketing and advertising are the top sectors that are investing heavily around data and analytics. This gives an indication of how the analytics market is growing in India along with the need for skilled analytics professionals.
Delhi-NCR is one of the emerging IT hubs in India owing to high-quality infrastructure, availability of technically skilled manpower and supportive government policies. The region is only behind Bengaluru in the list of top Indian cities offering job opportunities in the technology sector. As per an article on Economic Times, 11 percent of all job postings in the technology sector originates from Delhi-NCR. Payscale reports that the average annual salary of a data scientist in India is Rs. 816,574. But, employees working in the NCR region earn more than the national average. Gurgaon, a part of the NCR region, offers the highest data scientist salary in India which is 24.6 percent more than the national average.
This article introduces you to the data science field, why a career in data science is beneficial, and why should one take up a data science course in Delhi.
A Career in Data Science
When you think about a career in data science, the term ‘data scientist’ would first come into your mind. No wonder the job role of data scientists has become the hottest job from the past few years. If you look at the surveys regarding the most in-demand skills at present for any country, data science skills would definitely be a part of all of them. Research by Glassdoor, for example, stated that data scientist was the highest-paying entry-level job in the US in 2019, with a median base salary of $95,000. With companies focusing more on digitalization, the trend would follow in India as well.
Some of the top job roles you can achieve in the field of data science are:
- Data Analyst
- Data Mining Engineer
- Business Intelligence Analyst
- Analytics Manager
- SAS Analyst
- Statistical Analyst
- Hadoop Developer
- Data Engineer
Now, are you wondering about what skills do employers look for when hiring data scientists?
Given below are some of the top ones:
- Python programming
- R programming
- Tableau (data visualization tool)
- Data wrangling
- Machine learning
- Data modeling
There is a strong demand for analytics professionals not only in the IT sector but finance, energy, e-commerce, pharma, and retail sectors as well. The highest number of job openings for such professionals was seen in renowned companies like:
- Wells Fargo
- Dell International
- eClerx Services
Now that you have an idea of how a career in data science is, you should next know about how to begin a career in this promising field.
Where Should You Begin?
Unlike other fields, data science requires professionals to have a strong educational background. While a bachelor’s degree is a minimum qualification for data science roles, many employers look for professionals who have a master’s degree. An observation related to existing data scientists reveals that 88 percent of them hold a master’s degree and 46 percent of them have a Ph.D. degree.
A graduate degree is essential for understanding foundational concepts, like mathematical and statistical analysis. One can also learn about algorithms, database management, information visualization, and more on taking up a bachelor’s program.
Employers generally look for specialized skills for data science roles, so a master’s degree is beneficial to gain advanced skills. Knowledge of predictive analysis, data modeling, machine learning, programming and database management tools like SAS, Python, Tableau, Spark, Hadoop are some of the important skills that one can gain through a master’s program.
Should You Take an Online Data Science Course?
Well, if digitalization has penetrated so much into our daily lives, why not embrace eLearning? Today you don’t need to go anywhere to learn any subject from industry experts. Top universities from all over the world have started providing online courses in different streams, including data science.
Here are the university programs that you can consider:
- Harvard University Data Science Certificate
- California Institute of Technology Learning From Data Course
- Master of Information and Data Science (MIDS) at UC Berkeley School of Information
Apart from university courses, there are other reputable training providers whose data science courses are curated especially to suit a learner’s needs. All you need to do is search for that training provider and get certified. It shall then increase your credibility and enhance your career opportunities in data science.