Compare the app sections for loading data into an app.Compare the 'Add data' and 'Data load editor' options.Demonstrate configuring master dimensions.Explain the process to create master items.Explain the value of creating master items.Examine and conduct an analysis in an app.Describe circumstances in which to use stories.Demonstrate navigating between different views.Describe the various views in Qlik Sense.Along with these four key characteristics, individuals should have skills in data-informed decision making, eliminate personal bias, and follow iterative analysis through the four levels of analytics: descriptive, diagnostic, predictive, and prescriptive. Finally, an individual should be able to argue with data, creating positions and then backing it up with data. Analyzing data involves skills in asking questions, tying back to business objectives, and finding trends and patterns within the data.
Third, an individual should be comfortable analyzing data. Working with data means an individual is comfortable working with data sets, visualizations, and analysis. Those specific skills are the ability to read data with comfort, understanding what the data is saying, and being able to interpret data when presented to them.
Those desiring to take the exam should have backgrounds or skills within data and analytics, allowing them to be qualified to take this exam. The certification is designed to test the minimally qualified candidate within the world of data literacy.
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