CompTIA Data+ Exam Voucher

Original price was: $255.00.Current price is: $200.00.

CompTIA Data+ is a foundational certification for professionals analyzing and interpreting data to support business decisions. It proves your ability to collect, analyze, and report on data while applying data governance and quality standards. This vendor-neutral credential is ideal for those in marketing, operations, finance, and IT roles looking to strengthen their analytical skills.

Buy your CompTIA Data+ exam voucher from VoucherPlex at the lowest price online. Vouchers purchased from VoucherPlex come with a 12-month validity from the date of delivery and can be used once to schedule the Data+ exam at any CompTIA-approved Pearson VUE testing center or through online testing across North America.

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Secure your success with exam retake assurance, designed to give you peace of mind and the flexibility to retake your Data+ (V1) exam if needed. This product ensures you’re prepared for success by covering your initial exam attempt and providing the option to retake it once if necessary.

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Description

CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven decision-making. It validates the ability to mine, manipulate, and analyze data while applying appropriate data governance and quality standards. The certification is vendor-neutral and ideal for those in data roles across business, marketing, operations, and IT. Data+ is developed by the Computing Technology Industry Association (CompTIA), a leading nonprofit association founded in 1982. CompTIA brings together industry vendors, distributors, and resellers to promote best practices, training, and certification programs for IT professionals worldwide.

The CompTIA Data+ exam includes multiple-choice and performance-based questions covering data concepts, mining, analysis, visualization, and data governance. Although there are no formal prerequisites, it is recommended for professionals with 18–24 months of experience working with databases or in data analysis roles.

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