About this Practice Test  

CertPREP Practice Tests are designed to replicate the certification exam experience so you can prepare yourself for the actual exam. Practice tests use the same in-app exam format as the Certiport certification exam and are mapped to the certification objectives so you can be assured you'll be practicing skills to help you pass the certification exam. Practice tests are offered in two modes: Testing and Training Modes. You can either practice under timed conditions or learn at your own pace with step-by-step guidance. This license includes up to 30 attempts over one year for a selected title, ensuring targeted, effective exam preparation.  

What the Practice Test measures

• Data Basics
• Data Manipulation
• Data Analysis
• Data Visualization and Communication
• Responsible Analytics Practices

Topics covered

• Define data concepts, types, structures, and categories
• Import, clean, organize, and aggregate data using tools like SQL, R, Python, and Excel
• Understand types of data analysis and metrics
• Perform exploratory data analysis and interpret statistical results
• Understand the role of AI and machine learning in data analysis
• Create and interpret data visualizations (e.g., charts, graphs, diagrams)
• Report findings and draw conclusions from visual data
• Understand data privacy laws and responsible data handling
• Identify and mitigate bias in data collection and interpretation

What’s included

• 1-year access to GMetrix, and 30 Practice Test attempts
• 100 questions, covering all question types found on the vendor exam and a Study Guide 
• Testing Mode: Timed practice tests that provide accurate feedback on strengths and weaknesses after completion
• Training Mode: Untimed practice tests that let you work at your own pace and receive feedback and step-by-step instructions for each question  

Certify: IT Specialist Data Analytics – Certification Exam Voucher + Retake

Overview of IT Specialist Data Analytics Certification 

Candidates for this certification have a foundational knowledge of how to responsibly manipulate, analyze, and communicate findings from data. Successful candidates will be able to define and categorize data. They should be able to demonstrate knowledge of data structures, variable types, and responsible analytics practices.

Why gain Certification?

Those who take and pass ITS certifications are empowered to stand out in the competitive job market, while simplifying daily tasks, boosting productivity and fostering career growth.  

Useful Information

• ITS Data Analytics Exam is 50 minutes
• ITS Data Analytics Exam has 35-45 questions

Topics the exam tests you on

Data Basics

• Define the concept of data
• Describe basic data variable types
• Describe basic structures used in data analytics
• Describe data categories

Data Manipulation

• Import, store, and export data
• Clean data
• Organize data
• Aggregate data

Data Analysis

• Describe and differentiate between types of data analysis
• Describe and differentiate between data aggregation and interpretation metrics
• Describe and differentiate between exploratory data analysis methods
• Evaluate and explain the results of data analyses
• Define and describe the role of artificial intelligence in data analysis

Data Visualization and Communication

• Report data
• Create visualizations from data
• Derive conclusions from a data visualization

Responsible Analytics Practices

• Describe data privacy laws and best practices
• Describe best practices for responsible data handling
• Given a scenario, describe types of bias that affect collection and interpretation of data

Additional Information

• Find Objective Domains here: IT Specialist Data Analytics
• Exam tutorial here:  IT Specialist exam tutorial