Data science is developing a new paradigm in the career paths of students all over the world. Every student who comes from any background or stream these days is willing to peruse a career in this domain. The main cause of this attraction is the variety of opportunities and demands on the data scientists. If we look at the sector-wise demand for data scientists in India in the last few years.

The source of above data is the STATISTA. The present data shows that the at present the maximum demand of the Data scientists are in BFSI (Banking, Financial Services, and Insurance) sector in India. There is no doubts that other sectors are also have the potential to use the data scientists. If we look at India population and its intellectual calibre It can be said with confidence that it has the potential to groom its budding students in the form of great Data scientist. The requirements for developing data scientists are as follows.

• Data scientists should be able to think critically and solve complex problems using data-driven techniques and tools.
• Data scientists should be able to communicate complex technical concepts to non-technical stakeholders in an understandable way.
• Data science requires constant learning and staying up to date with new technologies, tools, and techniques, so having curiosity and a willingness to learn is critical.
• Data scientists should have familiarity with data visualization tools such as Tableau, Power BI, or Matplotlib, to create insightful data visualizations.
• A good understanding of the domain in which you’re working is essential to identify the right problem, interpret the results, and communicate the findings effectively.
• Data science involves mathematical concepts such as statistics, linear algebra, calculus, probability, and mathematical optimization. Therefore, it is essential to have a foundation in mathematics.
• Knowledge of programming languages: Data science requires proficiency in programming languages such as Python, R, and SQL, which are used for data analysis, data visualization, and data manipulation.

To solve challenging challenges, the area of data science combines the various fields of machine learning, algorithms, data inference, programming, mathematics, and statistics. Data is the central focus of data science, as the name suggests. Therefore, having a passion for, a comprehension and the capacity to work with data is the first and most crucial requirement for learning data science. A data scientist should have a natural curiosity for the outside world in addition to skills of programming and database management.

According to statistics, there are more graduates from various branches enrolled in data science programmes.

The educational background of data scientists. Source: Burtch Works Study, 2015

 

Dr Vivek Mishra
Associate Professor
Alliance School of Applied Mathematics

Dr. Giovanni Merola
Professor
Alliance School of Applied Mathematics