CompTIA DATA+
EXAM CODE DA0-001
CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making.
OVERVIEW
CompTIA Data+ is a certification designed for professionals looking to develop foundational skills in data analysis. It validates the ability to collect, analyze, and interpret data to make informed business decisions. The certification covers essential topics such as data mining, data governance, visualization, and reporting, equipping individuals with the knowledge needed to handle data ethically and effectively.
Data+ is ideal for professionals working in roles such as business analysts, data analysts, and those in data-driven decision-making roles. It helps bridge the gap between data and business strategy, empowering professionals to communicate insights that drive organizational success.
For more information, including exam details and preparation resources, you can visit the official [CompTIA Data+ page](https://www.comptia.org/certifications/data).
Jobs You Can Land With CompTIA Data+
| Exam Codes | DA0-001 |
| Launch Date | February 28, 2022 |
| Exam Description | 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. |
| Number of Questions | Maximum of 90 questions |
| Type of Questions | Multiple choice and performance-based |
| Length of Test | 90 Minutes |
| Passing Score | 675 (on scale of 100–900) |
| Recommended Experience | CompTIA recommends 18–24 months of experience in a report/business analyst job role, exposure to databases and analytical tools, a basic understanding of statistics, and data visualization experience |
| Languages | English, Japanese, Thai |
| Retirement | Usually three years after launch |
| Testing Provider | Pearson VUE |
Academic Requirements: Grade 12 or 9-12 months of practical experience in a lab or field environment.
Language: Proficiency in English is required, as course materials and support are provided exclusively in English.
Skill Level: Beginner.
Tools Needed: A PC or laptop with a stable internet connection.
Commitment:*Self-paced online learning.
Differentiate Yourself With Data
Better Analyze and Interpret Data
Mine data more effectively. Analyze with rigor. Avoid confounding results.
Communicate Insights
Highlight what’s important in reports that persuade, not confuse. Help drive better data-driven decisions.
Demonstrate Competency
Make yourself a valuable team member. Data literacy means you’re more employable and upwardly mobile.
What Skills Will You Learn?
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
Visualization
Learn how to translate business requirements to create the appropriate visualization in the form of a report or dashboard with the proper design components
Data Governance, Quality, & Controls
Increase your ability to summarize important data governance concepts and apply data quality control concepts