India has always been seen as a technology outsourcing hub when it comes to analyzing the data using analytics and big data technologies. Companies all around the globe are looking to hire specialists who can do the task.
With market competition stiffening, top organizations are turning to data analytics to identify new market opportunities for their services and products.
Around 77% of top organizations consider data analytics & BI as critical components of business performance. This clearly implicates that big data professionals have a huge influence on company policies and marketing strategies. It has been projected that in next three years, India will face a demand supply gap of 2,00,000 analytics professionals . Hence, the scope for data analysts and data scientists is humungous.
Indian Institute of Technology Patna (IITP) is amongst the foremost institutes of the nation. Patna, which was earlier known as Patliputra, has been a centre of knowledge owing to attract visitors and scholars from many parts of the world such as China, Indonesia, Japan, Korea, Sri Lanka. The Institute has 10 academic departments and a few advanced research centers in various disciplines of engineering and pure sciences, with nearly 50 laboratories organized in a unique pattern of functioning. A faculty of international repute, a brilliant student community, excellent technical & supporting staff and an effective administration have all contributed to the pre-eminent status of IIT Patna.
Data analytics demand is on the rise and soon, it will be an integral part of every organization and everything we do. These reasons should give you an idea of just how important this field is poised to be in the future.
Reports suggests, the current analytics market is expected to grow substantially over the next few years. Thus, in order to gain competitive edge, BSE Institute in collaboration with IITP is offering Post Graduate Certificate in Data Analytics & Business Intelligence which will help professionals to discover hidden patterns and correlations with different data sets.