Data Literacy Certification is prepared with real life questions to help you get all the practice you need. Practice the same kind of questions you’ll be answering on the actual test. Questions cover Interpret Business Requirements, Understand and Transform the Data, Design and Build Visualizations, Interpret Visualizations, Analyze Act On and Share Results topics.
Built like the real test
All our tests contain the same number of questions and require the same passing rate. They’re designed not just to familiarize you with the material, but also to prepare you for what to expect at your real test
No more fear of the unknown
Our tests are designed to make every question you might face feel familiar, so you won’t have that fear of the unknown that so many new drivers feel during their test. Instead, you’ll just feel confidence.
Prepare more efficiently
Our tests are written using the very latest version of the real exam. We also keep track of when a new version comes out, and make sure to update our questions as necessary so you’re never answering out-of-date questions.
Improve based on your errors
If you answer a question incorrectly, you’ll immediately be shown the correct answer, along with a complete, in-depth explanation of the answer, written by one of our experts, so you’ll understand the justification for the right answer.
Re-take the most complex questions
People struggle on different sections of the test and different types of questions. Maybe you can’t remember certain things. Our practice is designed to help you tackle those questions you answered incorrectly. It saves them and allows you to come back and keep trying until you answer them correctly.
The Data Literacy Certification Exam is a product-agnostic exam which measures your ability to interpret business requirements; understand and transform data; design, build, and interpret visualizations; and analyze, act on, and share results. This exam has 70 multiple-choice questions to answer in 2.5 hours.
The certification is designed to test the minimally qualified candidate within the world of data literacy. Those desiring to take the exam should have backgrounds or skills within data and analytics, allowing them to be qualified to take this exam. 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. Second, the ability to work with data. Working with data means an individual is comfortable working with data sets, visualizations, and analysis. Third, an individual should be comfortable analyzing data. Analyzing data involves skills in asking questions, tying back to business objectives, and finding trends and patterns within the data. Finally, an individual should be able to argue with data, creating positions and then backing it up with data. 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.
Interpret Business Requirements
- Discuss business requirements for feasibility to implement
- Change a business question into an analytical question
- Explain data sources and refresh frequency needed to implement requirements
- Discuss KPIs, dimensions, and measures for analysis
Understand and Transform the Data
- Explain various data types and implications for analysis
- Compare various classifications of data
- Explain data structure and implications for analysis
- Explain subset of data needed for analysis using coding terminology
- Contrast data schemas and how they impact analyses
- Use basic statistics
- Explain aggregations needed for analysis
- Contrast types of distributions and explain implications in analysis
- Assess the need for data governance and security
- Transform data structure
Design and Build Visualizations
- Use appropriate visualizations and level of complexity for audience
- Use appropriate measurements Use appropriate properties of visualizations
- Arrange visualizations to engage audience and enable analysis
- Determine whether visualization is valid and can answer the analytical question
- Interpret visualizations to create observations
- Explain outliers, trends, and relationships between data elements
- Recommend a theory, then validate or invalidate it
- Break down thoughts and ideas into a cohesive and logical analysis plan
- Analyze data and visualizations iteratively
- Examine your point of view for objectivity
- Evaluate different perspectives
- Question visualizations to develop insights
- Test for correlations and causations in the data
- Examine the data and visualizations with curiosity
Act on Results
- Decide the insights gained from analysis
- Recommend actions based on analysis
- Predict potential consequences of actions to minimize unintended consequences
- Assess actual results of actions
- Analyze feedback and determine adjustments needed for analysis
- Summarize audience member types and what they care about
- Justify your analysis, observations, and insights
- Justify your conclusions, recommendations, and proposed actions with confidence
- Evaluate and incorporate feedback into action plan
- Use information ethically and appropriately
Why Choose Us
We have 20 years experience , more than 10 years dedicated to Qlik products, in Business Intelligence sector. We have many real life project implementations in multiple sectors. We have trained thousands of Qlik users in our training center or on customer location. Our talented professionals select each question carefully. We scan existing exam questions frequently to provide you most up to date questions which are similar or exact match to actual exam.