When thinking about what it means to be data literate, it's easy to focus only on technical skills. We assume that to be data literate our priority should be to fine tune our data preparation, or data visualization abilities, for example. But being data literate encompasses a vast range of competencies that sometimes don't relate directly to data at all.
In his recent blog for The Data Literacy Project, Kevin Hanegan (Chief Learning Officer at Qlik) discusses how technical data skills alone are not enough when it comes to discovering insights in data and being data literate. Asking the right questions of our data, and developing soft skills such as critical thinking and creativity are just as important as the technical skills. While AI can automate many human tasks, our human intuition and emotional intelligence mean we are still a crucial piece of the puzzle. Learn more about the competencies required to become truly data literate in the Data Literacy Project blog here.
You can start working on your data literacy skills by making the most of your access to the Academic Program. By studying on the data literacy courses included in our program, the same courses used by customers, you can start to lay the foundations for your future in the data driven workplace. Data literacy is set to be the most in-demand skill by 2030, with 85% of executives believing these skills will be as vital in the future as the ability to use a computer is today. Taking the time to learn these skills will help to cement your future success, check out our Data Literacy courses here. If you haven't yet signed up for the Qlik Academic Program, you can follow this link: qlik.com/academicprogram
