Data +

Data +

Duration: On Demand

Language: English

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. Prepare for your Data+ (V1) certification with access to the Data+ Complete Bundle with Voucher Plus Retake Assurance. This guided, customizable learning experience combines CompTIA learning products with engaging instructional videos and live instructional support for an all-in-one solution and provides you with the knowledge, exam prep tools, and peace of mind you need to succeed.

Data+ (V1) exam objectives summary

Data concepts and environments (15%)

•   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).

Data mining (25%)

• Data acquisition: explaining integration methods like delta load, extract/load/transform (ELT), and collection methods like web scraping, application programming interfaces (APIs), surveys, sampling, and observation.
• Data cleansing and profiling: identifying duplicate data, missing values, invalid data, outliers, specification mismatches, and data type validation.
• Data manipulation techniques: executing techniques like merging, blending, concatenation, appending, imputation, aggregation, transposing, normalizing, and parsing.
• Query optimization: explaining filtering, sorting, date functions, logical functions, aggregate functions, indexing, temporary tables, and execution plans.

Data analysis (23%)

•   Descriptive statistics: applying measures of central tendency, dispersion, frequencies, percentages, percent change, and confidence intervals.
•   Inferential statistics: explaining t-tests, z-scores, p-values, chi-squared tests, hypothesis testing, regression, and correlation.
•   Analysis techniques: summarizing trend analysis, performance analysis, exploratory analysis, and link analysis.

Visualization (23%)

•   Business requirements: translating requirements into reports using measures of central tendency, dispersion, and percentages.
•   Report and dashboard design: using cover pages, design elements, and documentation.
•   Dashboard development: applying considerations for development processes and delivery.
•  Visualization types: applying line charts, pie charts, scatter plots, bar charts, histograms, heat maps, geographic maps, tree maps, stacked charts, and word clouds.
•  Report types: comparing static vs. dynamic, ad-hoc, self-service, recurring, and tactical research reports.

Data governance, quality, and controls (14%)

•   Data governance: summarizing access, security, storage, use, entity relationships, classification, jurisdiction, and breach reporting.
•   Data quality control: applying validation methods, quality dimensions, rules, metrics, and automated checks.
•   Master data management (MDM): explaining processes and circumstances for MDM.

Exam details

•   Exam version: V1
•   Exam series code: DA0-001
•   Launch date: February 28, 2022
•   Number of questions: 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: 18–24 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)

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.

Prepare for your Data+ (V1) certification with access to the Data+ Complete Bundle with Voucher Plus Retake Assurance. This guided, customizable learning experience combines CompTIA learning products with engaging instructional videos and live instructional support for an all-in-one solution and provides you with the knowledge, exam prep tools, and peace of mind you need to succeed.

What’s included:

•  Voucher Plus Retake Assurance  CertMaster Learn+Labs
•  CertMaster Practice  OnDemand Services

*All included products must be redeemed within 12 months of purchase.

Key benefits: Comprehensive preparation: Master Data+ objectives with learning materials and skills-focused practice tools.

OnDemand: Unlock a personalized, guided learning experience to prepare for certification with CompTIA resources, expert help, and extensive exam-prep materials.

Rewards-based design: Experience an engaging, interactive, and positive learning environment with skills rewards and leaderboard points.

Interactive learning: Engage with videos, job-based interactive scenarios, and performance-based questions.

Extensive practice: Access hundreds of questions, assessments, and timed practice tests to reinforce your knowledge.

Structured pacing guides: Manage your study time and stay on schedule.

Exam attempt with retake assurance: Take your exam confidently, knowing you’re covered to retake it if needed.

Year-long access: Study anytime with 12 months of training, redeemable within 12 months

Easy voucher redemption: Redeem and schedule your exam