CompTIA Data+
CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making. Equip yourself with skills to better analyze and interpret data, communicate insights, and demonstrate competency. CompTIA Data+ validates that certified professionals have the skills required to facilitate data-driven business decisions.
Skills Learned
- Identify basic concepts of data schemas and dimensions, and understand the differences between common data structures and file formats to build a strong foundation in data concepts and environments.
- Apply data acquisition, cleansing, profiling, and manipulation techniques to enhance data mining skills.
- Use appropriate descriptive statistical methods and summarize types of analysis and critical analysis techniques for effective data analysis.
- Translate business requirements into meaningful visualizations by creating reports or dashboards.
- Summarize key data governance concepts and apply data quality control techniques to ensure accuracy and compliance.
Exam Details
- Exam version: V1
- Exam series code: DA0-001
- Launch date: February 28, 2022
- Number of questions: a maximum of 90 questions
- Types of questions: multiple-choice and performance-based
- Duration: 90 minutes
- Passing score: 675 (on a scale of 100-900)
- Languages: English, Japanese, and Thai
- Recommended experience: 18ā24 months in a report or business analyst job role, with exposure to databases and analytical tools, a basic understanding of statistics, and data visualization experience
- Retirement: usually three years after launch (estimated 2025)
Career Path
Who Should Attend
Schedule Dates
Course Content
- Data schemas and dimensions: identifying databases, data marts, data warehouses, data lakes, and slowly changing dimensions.
- Data types: comparing date, numeric, alphanumeric, currency, text, discrete vs. continuous, categorical/dimension, images, audio, and video.
- Data structures and file formats: comparing structured and unstructured data and file formats like text/flat files, JavaScript object notation (JSON), extensible markup language (XML), and hypertext markup language (HTML).
FAQs
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