Data+ Exam Prep & Study Resources

CompTIA Data+ is an entry-level data analytics certification that validates skills in data collection, analysis, visualization, and reporting. It is designed for professionals who work with data to drive business decisions.

Data+ covers data concepts, data mining, data analysis, visualization, data governance, data quality, and data analytics tools. It focuses on practical data skills applicable across industries and business functions.

The Data+ exam contains up to 90 questions including multiple-choice and performance-based questions, to be completed in 90 minutes. It tests both knowledge of data concepts and practical analytical skills.

Data+ is ideal for data analysts, business analysts, marketing analysts, and IT professionals who work with data regularly. It is accessible for those transitioning into data-focused roles from other IT or business positions.

CompTIA recommends 18 to 24 months of experience in a data analytics role. No prior certification is required, though basic IT knowledge and familiarity with spreadsheet software provides a helpful foundation.

Most candidates spend one to three months preparing for Data+. Those with existing data analysis experience may need less time, while newcomers should focus on building hands-on skills with data tools and visualization software.

Yes, Data+ provides a vendor-neutral validation of data analytics skills that is recognized across industries. It demonstrates foundational data competency and can help professionals enter or advance in data-focused career paths.

Yes, Data+ is valid for three years and must be renewed through continuing education activities or by earning a higher CompTIA certification before it expires.

Data+ is unique as a vendor-neutral, entry-level data analytics certification. It covers broader data concepts than tool-specific certifications and provides a foundation before pursuing advanced analytics or data science credentials.

Data+ supports roles such as data analyst, business analyst, reporting analyst, and data operations specialist. It validates the foundational data skills that are increasingly required across all business functions.