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CompTIA Data Plus Certification Exam Preparation Exams
5 students

CompTIA Data Plus Certification Exam Preparation Exams

Get certified and prove your value in the data management by passing the CompTIA Data Plus certification exam.
Created byJoseph Holbrook
Last updated 12/2023
English

What you'll learn

  • Understand the full objectives of the CompTIA Data Plus certification exam
  • Practice with multiple exams to see how prepared you are to take the exam.
  • Learn about data schemas, dimensions, types, and structures
  • Learn about how to execute data manipulations and optimize queries
  • Learn about analysis types and techniques
  • Learn about how to select and use statistical method
  • Learn about designing reports and dashboards

Included in This Course

82 questions
  • CompTIA Data Plus Practice Exam One60 questions
  • CompTIA Data Plus Practice Exam Two22 questions

Description

Data, the world runs on data! Companies need it, collect it, wrangle it and most importantly derive value from the data.

If you are considering a career in data, the CompTIA Data+ certification is a great way to get started. It is a challenging exam, but it is well worth the effort. By passing the CompTIA Data+ exam, you will demonstrate your skills and knowledge to employers and set yourself up for success in a growing field.

Becoming a data professional is a great way to start your IT career and the best certification to get started with is the CompTIA Data Plus certification exam so why not get started preparing today!


There are many reasons why you should consider taking the CompTIA Data+ exam. Here are some of the most compelling reasons:

  • It is an industry-recognized certification that demonstrates your skills and knowledge in data analytics. Earning the CompTIA Data+ certification will show potential employers that you have the skills and knowledge to collect, analyze, and interpret data to make informed business decisions. This can make you a more competitive candidate for job openings and promotions.

  • It is a vendor-neutral certification, which means it is not tied to any specific software or platform. This makes it a valuable certification for anyone who wants to work with data, regardless of the tools they use.

  • It is an early-career certification, which means it is a good option for people who are new to the data analytics field. The exam covers the fundamentals of data analytics, making it a good starting point for anyone who wants to learn more about the field.

  • It is a relatively easy exam to pass, making it a good option for people who are not experienced with certification exams. The exam is designed to be passed by people with a basic understanding of data analytics concepts.

This CompTIA Data Plus Certification Exam Preparation Exam course provides you exam practice questions that have full explanations and even references to review to ensure that you understand the answers.

The goal of these questions if for you to confirm your mastery of the topics and providing you with the confidence you’ll need to take your CompTIA Data+ (DA0-001) Certification exam.

The practice exams are timed and you will recieve a score to help you understand how well you performed.

What will the CompTIA Data Plus test you on?

The CompTIA DATA+ exam covers 5 domains:


  • Data Concepts and Environments (15%)

  • Data Mining (25%)

  • Data Analysis (23%)

  • Visualization (23%)

  • Data Governance, Quality, & Controls (14%)


How you will benefit

  • Data schemas, dimensions, types, and structures

  • How to execute data manipulations and optimize queries

  • How to select and use statistical methods

  • Analysis types and techniques

  • How to design reports and dashboards

CompTIA Data Plus Exam Overview


  • Exam Code: DA0-001

  • Max. 90 questions (multiple-choice, drag-and-drop, and performance-based)

  • Length of exam: 90 minutes

  • Passing score: 675 (on a scale of 100-900)

  • Recommended experience: 18-24 months’ hands-on experience in a lab or in the field

Who this course is for:

  • Data Analysts
  • Data Managers
  • Business Analysts
  • Data Architects