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Study Guide: What is CompTIA Data+ Exam?
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What is CompTIA Data+ Exam?

By Fatskills Exam Guides Team — the exam nerds behind 28,500+ quizzes and 2.1M practice questions across 500+ global exams.

⏱️ ~2 min read

CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making.

CompTIA Data+ validates certified professionals have the skills required to facilitate data-driven business decisions, including:

  1. Mining data
  2. Manipulating data
  3. Visualizing and reporting data
  4. Applying basic statistical methods
  5. Analyzing complex datasets while adhering to governance and quality standards throughout the entire data life cycle

 

What Skills Will You Learn?

HARDWARE
Data Concepts and Environments

Boost your knowledge in identifying basic concepts of data schemas and dimensions while understanding the difference between common data structures and file formats

WINDOWS OPERATING SYSTEMS
Data Mining

Grow your skills to explain data acquisition concepts, reasons for cleansing and profiling datasets, executing data manipulation, and understanding techniques for data manipulation

SOFTWARE TROUBLESHOOTING
Data Analysis

Gain the ability to apply the appropriate descriptive statistical methods and summarize types of analysis and critical analysis techniques

NETWORKING
Visualization

Learn how to translate business requirements to form the appropriate visualization in the form of a report or dashboard with the proper design components

NETWORKING
Data Governance, Quality, & Controls

Increase your ability to summarize important data governance concepts and apply data quality control concepts

Number of Questions in CompTIA Data+ Exam    90 questions
Type of Questions in CompTIA Data+ Exam   Multiple choice and performance-based
Length of Test    90 Minutes
Passing Score    675 (on scale of 100–900)
Recommended Experience    CompTIA recommends 18–24 months of experience in a report/business analyst job role, exposure to databases and analytical tools, a basic understanding of statistics, and data visualization experience