Emerging data science opportunities in the age of AI

economictimes.indiatimes.com:

Today, with more technology and data explosion, every company is also emerging as a data company. As a result, analytics and data science have become attractive career options for many people. The subject has become part of graduate and postgraduate programmes in universities and specialisations in management studies. Leading edtechs offer a range of options to upskill yourself in the discipline. But with the emergence of generative AI and its many remarkable capabilities, questions are again emerging today about what it means for those looking for careers in this area. Nasscom said in a recent report that in India, the investments for generative AI grew by 12X year-over-year in 2022. The report also said that a large number of generative AI startups in India were using closed source models with customised visualisation tools and a trend towards non-relational databases. From a learning point of view, many universities are setting up their own labs and generative AI courses are already available in some of the best data science learning portals. Meanwhile, with questions unfolding around privacy and possible misuse of data, the laws around generative AI are still emerging. What does this shift mean for data science careers?

Need skilled workforce of at least 8 million to fully leverage 5G tech in India: Report

Well, the fact is that they are here to stay, in different shapes and forms. In a recent blog on its website, Coursera shared a few emerging high-demand data science roles in 2023. These included roles of data scientists, data analysts, data engineers, data architects, business intelligence engineers and machine learning engineers. These roles work across multiple aspects — preparing data