While talk around Data Science & Analytics education is mostly centered around translating analytics into key insights, there is also another key facet to it that business leaders demand — converting data into a significant business advantage and smart solutions. Today, more than ever, Data Science & Analytics education has to be at the intersection of technology, statistics, and business. This implies that programmes/certifications have to go beyond the fundamental understanding of statistical and quantitative analysis and predictive modelling to make enterprises function better. In short, analytics has to lead to smarter business solutions.
So far, the narrative has been focused on short-term Data Science & Analytics focused certifications that provide candidates with the technical know-how. In our opinion, having analytical skills can definitely help professionals complement their current skill set, but analytics alone isn’t sufficient enough in the business landscape that demands domain knowledge as well. This means, that an isolated focus on data and analytics with skills in analysing large datasets isn’t enough, what professionals also require is decision-making skills based on data analysis and how it can be translated to practical applications and solutions that match the organisation’s goals.
Our latest study highlighted the total number of analytics and data science job positions available in India are 97,000. Out of these, 97% job openings in India are on a full-time basis while 3% are part-time or contractual. And while knowledge of R and/or Python can definitely put one ahead of the pack, our study also highlighted the need for work-based learning opportunities which will help employees gain the necessary skills. The employers are looking for skilled resources who can be deployed on projects ASAP from the day of joining.
Besides, many companies have mentor-style programmes to help employees upgrade the skill-set needed at the workplace and align skills to business objectives. At a recent meetup, business leaders from fintech sector emphasised the need for aligning Data Science projects to business objectives as one of the factors for success.
While talk around Data Science & Analytics education is mostly centered around translating analytics into key insights, there is also another key facet to it that business leaders demand — converting data into a significant business advantage and smart solutions. Today, more than ever, Data Science & Analytics education has to be at the intersection of technology, statistics, and business. This implies that programmes/certifications have to go beyond the fundamental understanding of statistical and quantitative analysis and predictive modelling to make enterprises function better. In short, analytics has to lead to smarter business solutions.
So far, the narrative has been focused on short-term Data Science & Analytics focused certifications that provide candidates with the technical know-how. In our opinion, having analytical skills can definitely help professionals complement their current skill set, but analytics alone isn’t sufficient enough in the business landscape that demands domain knowledge as well. This means, that an isolated focus on data and analytics with skills in analysing large datasets isn’t enough, what professionals also require is decision-making skills based on data analysis and how it can be translated to practical applications and solutions that match the organisation’s goals.
Our latest study highlighted the total number of analytics and data science job positions available in India are 97,000. Out of these, 97% job openings in India are on a full-time basis while 3% are part-time or contractual. And while knowledge of R and/or Python can definitely put one ahead of the pack, our study also highlighted the need for work-based learning opportunities which will help employees gain the necessary skills. The employers are looking for skilled resources who can be deployed on projects ASAP from the day of joining.
Besides, many companies have mentor-style programmes to help employees upgrade the skill-set needed at the workplace and align skills to business objectives. At a recent meetup, business leaders from fintech sector emphasised the need for aligning Data Science projects to business objectives as one of the factors for success.


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