Qlik Expands its Academic Program With New Data Analytics Curriculum
- by Radu Cotarcea
Qlik has announced its new Data Analytics Curriculum as an expansion of the Qlik Academic Program.
According to the company, “designed as an easily adoptable and ready-to-teach university-level program, the Data Analytics Curriculum provides professors with free resources – including instructor-led content, in-class activities and student assignments – to make teaching data analytics easier than ever. This program not only helps universities improve the value of their offerings by teaching marketable data skills, it also helps students advance their analytical and data literacy skills within every academic discipline.”
Qlik focuses on visual analytics. Its portfolio of products meets customers’ growing needs from reporting and self-service visual analysis to guided, embedded and custom analytics. The company reports that approximately 40,000 customers rely on its solutions to gain meaning out of information from varied sources, exploring the hidden relationships within data that lead to insights that ignite good ideas. Headquartered in Radnor, Pennsylvania, Qlik has offices around the world with more than 1700 partners covering more than 100 countries.
The Qlik Academic Program is open to any accredited, non-profit university-level institution worldwide with the company stating that, today, more than 500 universities in more than 55 countries participate in the program, including from the US, Sweden, Estonia, Canada, Germany, Thailand.
Kevin Hanegan, Vice President of Knowledge and Learning, Qlik, stated: "Students preparing for careers in today’s global data-driven environments need to raise the bar to succeed. They need exceptionally strong analytical and data literacy skills, along with the tools and know-how to keep pace with rapid change. said Kevin Hanegan, Vice President of Knowledge and Learning, Qlik. “To meet this growing demand, the Qlik Academic Program has expanded to give students the skills and tools they need to succeed – while ensuring that professors are instructing with the best course material on the most modern data visualization platform.”