Qlik Continues to Empower India’s Massive Talent Pool with Advanced Analytics and Data Literacy Skills in an Increasingly Data-Driven Business Landscape
New Delhi, March 5, 2019 – In a move which further underscores its vision to create a data literate world, Qlik has now expanded the Qlik Academic Program to over 150 universities across India. In addition to prominent universities such as IIM Bangalore, IIM Lucknow, IIM Indore, SP Jain School of Global Management, and NIT Karnataka, Qlik has now added renowned names such as IIM Ahmedabad, Loyola Institute of Business Administration, Tata Institute of Social Sciences, University of Petroleum and Energy Studies, NIT Patna, IIM Guwahati, IIM Raipur, and IIM Kozhikode as a part of the program.
Through this free-to-use online program, Qlik aims to help future waves of Indian professionals across every academic discipline become more job-ready by equipping them with advanced analytical and data literacy skills. Several students from participating institutes have already completed the coursework and received a Qlik Sense Business Analyst or Data Architect Qualification from Qlik.
Speaking on the announcement “We live in the age of technology, and data has naturally emerged as the most important resource for organisations. Despite this, the recent Qlik Data Literacy Survey revealed that almost 80% of the global workforce doesn’t feel that it has the data skills required to optimally utilise this high-potential resource. This is the gap that we are looking to address with the Qlik Academic Program.” said
Pankaj Muthe,
Program Manager, Academic Program, APAC, Qlik.
Designed as an easily adoptable university-level program, the Qlik Academic Program is aimed at helping higher education institutions in India and across the globe strengthen their academic offerings by adding marketable data skills to their curricula. The adoption of the Qlik Academic Program in India is most prominent across institutions offering engineering courses, since analytics aligns well with subjects such as data mining, database management and programming. However, there has been an uptake in other academic streams such as business management and social sciences, which are starting to use the program to both assist with research projects while also to learning to improve decision-making processes through data.
