CompTIA Data+

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As the importance of 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.

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5 Days

Course Details

As the importance of 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+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making.

The CompTIA Data+ exam will certify that 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.

After completing the course, you should be able to:

  • Identify basic concepts of data schemas

  • Understand different data systems

  • Understand types and characteristics of data

  • Compare and contrast different data structures, formats, and markup languages

  • Explain data integration and collection methods

  • Identify common reasons for cleansing and profiling data

  • Execute different data manipulation techniques

  • Explain common techniques for data manipulation and optimization

  • Apply descriptive statistical methods

  • Describe key analysis techniques

  • Understand the use of different statistical methods

  • Use the appropriate type of visualization

  • Express business requirements in a report format

  • Design components for reports and dashboards

  • Distinguish different report types

  • Summarize the importance of data governance

  • Apply quality control to data

  • Explain master data management concepts

  • Identify common data analytics tools

 

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