CompTIA Data+ [G017]

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CompTIA Data+ [G017]

Global Knowledge Network Training Ltd.
Logo Global Knowledge Network Training Ltd.
Provider rating: starstarstarstarstar_border 7.7 Global Knowledge Network Training Ltd. has an average rating of 7.7 (out of 3 reviews)

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Starting dates and places
place(Virtual Training Centre)
9 Mar 2026 until 13 Mar 2026
computer Online: VIRTUAL TRAINING CENTER
1 Jun 2026 until 5 Jun 2026
place(Virtual Training Centre)
21 Sep 2026 until 25 Sep 2026
computer Online: VIRTUAL TRAINING CENTER
7 Dec 2026 until 11 Dec 2026
Description

OVERVIEW

The CompTIA Data+ exam will certify the successful candidate has the knowledge and skills required to transform business requirements in support of data-driven decisions through mining and manipulating data, applying basic statistical methods, and analyzing complex datasets while adhering to governance and quality standards throughout the entire data life cycle.

CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making. As the importance for data analytics grows, more job roles are required to set context and better communicate vital business intelligence. Collecting, analyzing, and repor…

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Frequently asked questions

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OVERVIEW

The CompTIA Data+ exam will certify the successful candidate has the knowledge and skills required to transform business requirements in support of data-driven decisions through mining and manipulating data, applying basic statistical methods, and analyzing complex datasets while adhering to governance and quality standards throughout the entire data life cycle.

CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making. As the importance for data analytics grows, more job roles are required to set context and better communicate vital business intelligence. Collecting, analyzing, and reporting on data can drive priorities and lead business decision-making. CompTIA Data+ validates certified professionals have the skills required to facilitate data-driven business decisions, including:

  • Mining data
  • Manipulating data
  • Visualizing and reporting data
  • Applying basic statistical methods
  • Analyzing complex datasets while adhering to governance and quality standards throughout the entire data life cycle

OBJECTIVES

  • 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

  • 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

  • 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

  • Data Governance, Quality, & Controls

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

  • Data Analysis

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

AUDIENCE

Jobs that use CompTIA Data+

  • Data Analyst
  • Clinical Analyst
  • Reporting Analyst
  • Marketing Analyst
  • Business Data Analyst
  • Operations Analyst
  • Business Intelligence Analyst

CERTIFICATION

  • Number of Questions: 90 questions
  • Type of Questions: 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
  • Languages: English
  • Retirement: Usually three years after launch

CONTENT

Data Concepts and Environments - 15% 
  • Identify basic concepts of data schemas and dimensions
  • Compare and contrast different data types
  • Compare and contrast common data structures and file formats
Data Mining - 25% 
  • Explain data acquisition concepts
  • Identify common reasons for cleansing and profiling datasets
  • Given a scenario, execute data manipulation techniques
  • Explain common techniques for data manipulation and query optimization
Data Analysis - 23%
  • Given a scenario, apply the appropriate descriptive statistical methods
  • Explain the purpose of inferential statistical methods
  • Summarize types of analysis and key analysis techniques
  • Identify common data analytics tools
Visualization - 23% 
  • Translate business requirements to form a report
  • Use appropriate design components for reports and dashboards
  • Use appropriate methods for dashboard development
  • Apply the appropriate type of visualization
  • Compare and contrast types of reports

Data Governance, Quality, and Controls 14%

  • Summarize important data governance concepts
  • Given a scenario, apply data quality control concepts
  • Explain master data management (MDM) concepts

 

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There are no frequently asked questions yet. If you have any more questions or need help, contact our customer service.