CompTIA Data +

Course Code: DA0-001

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

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The CompTIA Data+ certification gives you the confidence to bring data analysis to life. You will learn and gain the skills required to facilitate data-driven business decisions, including:

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

 

  • Minimum of 18-24 months in a report/business analyst job role, exposure to databases and analytical tools, a basic understanding of statistics, and data visualization experience.

Professionals whose responsibilities lie in promoting and facilitating companies’s data-driven decisions, interpreting data well, using data intelligently, and avoiding confounding factors, such as:

  • Data Analyst
  • Data Architect
  • Data Scientist
  • Business Analyst
  • Reporting Analyst
  • Operations Analyst
1.1 Identify basic concepts of data schemas and dimensions.
1.2 Compare and contrast different data types.
1.3 Compare and contrast common data structures and file formats.
2.1 Explain data acquisition concepts.
2.2 Identify common reasons for cleansing and profiling datasets.
2.3 Given a scenario, execute data manipulation techniques.
2.4 Explain common techniques for data manipulation and query optimization.
3.1 Given a scenario, apply the appropriate descriptive statistical methods.
3.2 Explain the purpose of inferential statistical methods.
3.3 Summarize types of analysis and key analysis techniques.
3.4 Identify common data analytics tools.
4.1 Given a scenario, translate business requirements to form a report.
4.2 Given a scenario, use appropriate design components for reports and dashboard.
4.3 Given a scenario, use appropriate methods for dashboard development.
4.4 Given a scenario, apply the appropriate type of visualization.
4.5 Compare and contrast types of reports.
5.1 Summarize important data governance concepts.
5.2 Given a scenario, apply data quality control concepts.
5.3 Explain master data management (MDM) concepts.
Length of exam 90 minutes
Number of questions 90 questions
Question format Multiple choice and performance-based
Passing grade 675 (on a scale of 100-900)
Exam availability English, Japanese, Thai
Testing center Pearson VUE Testing Center

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