comptia data+ study guide Study Guide 2025: Updated Prep Materials
Get ready for the CompTIA Data+ certification with our comprehensive 2025 study guide. Updated with the latest exam objectives, study strategies, and expert tips to help you pass on your first attempt.
Exam Quick Facts
Why This 2025 Guide?
Prepared with the latest exam objectives and proven study strategies
2025 Updated
Reflects the latest exam objectives and content updates for 2025
Exam Aligned
Covers all current exam domains with accurate weightings
Proven Strategies
Time-tested study techniques from successful candidates
Fast Track Path
Efficient study plan to pass on your first attempt
Complete Study Materials
Comprehensive 2025 study guide for CompTIA Data+
Complete Study Guide for CompTIA Data+ (DA0-001)
The CompTIA Data+ certification validates foundational data analytics skills including data mining, visualization, basic statistics, and data governance. This associate-level certification is ideal for professionals looking to demonstrate their ability to transform business requirements into data-driven insights and is vendor-neutral, focusing on practical data analysis skills applicable across industries.
Who Should Take This Exam
- Data analysts and junior data scientists
- Business intelligence analysts
- Marketing analysts and financial analysts
- Database administrators transitioning to analytics
- IT professionals expanding into data analytics
- Students pursuing careers in data science
Prerequisites
- Basic understanding of databases and SQL queries
- Fundamental statistics knowledge (mean, median, mode, standard deviation)
- Familiarity with spreadsheet applications (Excel, Google Sheets)
- Understanding of basic business operations
- 18-24 months of hands-on experience with data analytics (recommended but not required)
Official Resources
CompTIA Data+ Official Certification Page
Official certification overview, exam objectives, and registration information
View ResourceCompTIA Data+ Exam Objectives (DA0-001)
Detailed breakdown of all exam domains and specific skills measured
View ResourceCompTIA CertMaster Learn for Data+
Official CompTIA self-paced online training platform with interactive content
View ResourceCompTIA CertMaster Practice for Data+
Official practice questions with adaptive learning to identify knowledge gaps
View ResourceCompTIA Store - Data+ Training Materials
Official study materials, bundles, and exam vouchers
View ResourceRecommended Courses
Recommended Books
CompTIA Data+ Study Guide: Exam DA0-001
by Mike Chapple and Sharif Nijim
Official CompTIA authorized study guide with comprehensive coverage of all exam objectives, practice questions, and online resources
View on AmazonCompTIA Data+ Certification All-in-One Exam Guide (Exam DA0-001)
by Brian Larrimore
McGraw-Hill all-in-one guide with detailed explanations, practical examples, and practice questions for each domain
View on AmazonCompTIA Data+ Practice Tests: Exam DA0-001
by Mike Chapple and Sharif Nijim
Companion practice test book with hundreds of questions organized by domain and full-length practice exams
View on AmazonData Analytics: Practical Data Analysis and Statistical Guide
by Greg Park
Supplemental reading for statistical methods and practical data analysis techniques applicable to the exam
View on AmazonPractice & Hands-On Resources
CompTIA CertMaster Practice for Data+
Official adaptive practice question platform that identifies knowledge gaps and provides targeted review
View ResourceDion Training CompTIA Data+ Practice Exams
Six full-length practice exams with detailed explanations for all questions
View ResourceMode Analytics SQL Tutorial
Free interactive SQL practice with real datasets for data mining skills
View ResourceSQLZoo Interactive Tutorials
Free hands-on SQL practice from basic to advanced queries
View ResourceTableau Public Free Edition
Free version of Tableau for practicing data visualization techniques
View ResourceMicrosoft Power BI Desktop (Free)
Free desktop version for creating visualizations and dashboards
View ResourceGoogle Data Analytics Practice Datasets
Free public datasets for practicing data analysis skills
View ResourceExamCompass CompTIA Data+ Practice Tests
Free online practice questions organized by exam domain
View ResourceCommunity & Forums
CompTIA Official LinkedIn Learning Community
Official CompTIA community forums for certification discussions and study tips
Join Communityr/CompTIA Subreddit
Active community for all CompTIA certifications with study resources, tips, and success stories
Join Communityr/DataAnalysis Subreddit
Broader data analysis community for practical discussions and real-world applications
Join CommunityProfessor Messer Forums
Study group discussions and Q&A for CompTIA certifications including Data+
Join CommunityTechExams Community
IT certification community with dedicated CompTIA Data+ study threads
Join CommunityStudy Tips
Exam Format Understanding
- Expect 5-7 Performance-Based Questions (PBQs) at the beginning - skip them initially and come back after answering multiple choice
- PBQs may involve drag-and-drop scenarios, matching visualizations to data, or selecting appropriate statistical methods
- 90 questions in 90 minutes means roughly 1 minute per question - manage your time carefully
- You can flag questions for review - use this feature liberally
- The passing score of 675/900 means you need approximately 75% correct
SQL and Data Mining Mastery
- Practice writing SQL queries daily - JOINs, GROUP BY, HAVING, and subqueries appear frequently
- Understand the difference between INNER, LEFT, RIGHT, and OUTER JOINs with practical examples
- Know when to use WHERE vs HAVING clauses
- Memorize common aggregate functions: COUNT, SUM, AVG, MIN, MAX
- Practice identifying data quality issues in sample datasets
Statistical Concepts Focus
- Memorize key formulas: mean, median, mode, standard deviation, variance
- Understand when to use each measure of central tendency (mean vs median vs mode)
- Know the difference between correlation and causation - this is commonly tested
- Understand hypothesis testing basics: null hypothesis, alternative hypothesis, p-values, Type I and Type II errors
- Practice interpreting confidence intervals and statistical significance
Visualization Selection
- Create a chart matching different visualization types to their best use cases
- Bar charts for categorical comparisons, line charts for trends over time, scatter plots for correlations
- Understand when heat maps, treemaps, and bubble charts are appropriate
- Know dashboard design principles: F-pattern reading, 5-second rule, appropriate use of color
- Practice identifying misleading visualizations (truncated axes, inappropriate chart types)
Hands-On Practice
- Don't just read - practice with real tools (Excel, Tableau Public, Power BI, SQL databases)
- Download sample datasets from Kaggle and practice the entire analysis workflow
- Create your own visualizations and dashboards - hands-on experience solidifies concepts
- Practice data cleansing techniques on messy datasets
- Use free SQL sandboxes to run queries daily
Governance and Compliance
- Understand data roles: data owner, data steward, data custodian - know who's responsible for what
- Memorize data quality dimensions: accuracy, completeness, consistency, timeliness, validity, uniqueness
- Know basic GDPR principles: right to be forgotten, data minimization, purpose limitation
- Understand data classification levels and appropriate security controls
- Study master data management concepts and their business value
Practice Exam Strategy
- Take at least 3-4 full-length practice exams under timed conditions
- Review every incorrect answer - understand why you got it wrong and what the correct reasoning is
- Track your scores by domain to identify weak areas requiring additional study
- Simulate exam conditions: no distractions, timed, full 90 questions in one sitting
- Use practice exams to build stamina - 90 minutes of focused testing is mentally demanding
Exam Day Tips
- 1Arrive 15 minutes early for in-person exams or start your online check-in process 30 minutes early
- 2Bring two forms of ID for in-person testing; ensure your testing space is clean for online proctoring
- 3Skip the PBQs (Performance-Based Questions) initially - answer all multiple choice first, then return to PBQs
- 4Read each question carefully - CompTIA often uses 'BEST' or 'MOST appropriate' phrasing
- 5Eliminate obviously wrong answers first, then choose between remaining options
- 6Watch for scenario-based questions that require applying concepts to business situations
- 7Flag questions you're unsure about for review - you can return to them before submitting
- 8Don't overthink questions - your first instinct is often correct unless you spot an obvious error
- 9Manage time: Check the clock every 20 questions to ensure you're on pace (roughly 30 minutes per 30 questions)
- 10Use all available time - review flagged questions and verify your PBQ answers before submitting
- 11For calculation questions, write down given values on your whiteboard/scratch paper to avoid errors
- 12Take a deep breath before starting - confidence from preparation will carry you through
- 13Remember that visualizations in questions may be intentionally misleading - analyze them critically
Study guide generated on January 8, 2026
CompTIA Data+ 2025 Study Guide FAQs
comptia data+ study guide is a professional certification from CompTIA that validates expertise in comptia data+ technologies and concepts. The official exam code is DA0-001.
The comptia data+ study guide Study Guide 2025 includes updated content reflecting the latest exam changes, new technologies, and best practices. It covers all current exam objectives and domains.
Yes, the 2025 comptia data+ study guide study guide has been updated with new content, revised exam objectives, and the latest industry trends. It reflects all changes made to the DA0-001 exam.
Start by reviewing the exam objectives in the 2025 guide, then work through each section systematically. Combine your study with practice exams to reinforce your learning.
More 2025 Resources
Complete your exam preparation with these resources