CompTIA Data+

OVERVIEW

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

TARGET AUDIENCE

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

Data+ is an ideal certification for not only data-specific careers, but other career paths can benefit from analytics processes and data analytics knowledge. Jobs like marketing specialists, financial analysts, human resource analysts or clinical health care analysts can optimize performance and make well-informed decisions when they use and evaluate data correctly.

SKILL COVERED

• 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.
• Data Analysis
  Gain the ability to apply the appropriate descriptive statistical methods and summarize
  types of analysis and critical analysis techniques.
• Data Governance, Quality & Controls
  Increase your ability to summarize important data governance concepts and apply data
  quality control concepts.

Certification

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.

PREQUISITES

There are no prerequisites required to attend this course.

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