Data Analytics 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 Data Foundations, Foundational Analytics, Interpretation of Analytics, Advanced Analytics 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track of when a new version comes out, and make sure to update our questions as necessary so you’re never answering out-of-date questions.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.
Exam Details
The Data Analytics Certification Exam measures your analytic and statistics knowledge, from a basic to advanced level. The exam is product-agnostic and covers four categories of analytics: Data Foundations, Foundational Analytics, Interpretation of Analytics, and Advanced Analytics. Recommended for Data Analysts and Data Scientists.
Prerequisites
The Data Analytics Certification Exam measures your technical ability within the world of data, analytics, data science, and data literacy. The exam covers technical aspects of statistics and analytics, including the ability to use data visualizations appropriately. To be prepared for this examination, individuals should have an understanding of the following elements:
- Data Fundamentals
- Analytical Testing
- Basic and Intermediate Statistics
- Hypothesis Testing
- Data Visualizations
- Decision Making with Statistics and Analytics
Exam Topics
Data Foundations
- Back-End: Data Architect
- Database Design
- Data Basics
- Types – Ordinal, Cardinal, etc.
- Attributes
- Forms
- Normalization/Optimization
- Big Data
Foundational Analytics
- Aggregations
- Distribution Analysis
- Standard Deviation
- Correlation and Causation
- Signal and Noise
- Probability
- Sampling
- Decision Tree Modeling
- Goodhart’s Law
Interpretation of Analytics
- Hypothesis Testing
- Type I/II Errors
- Visualization Interpretation
- Descriptive Statistics
- Bias
- Histogram/Box Plots
- Inferential Statistics
Advanced Analytics
- K-Means Clustering
- Markov Analysis
- Regression Modeling
- T-Test
- Chi-Square Test
- AB Testing
- Algorithms
- ANOVA
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.