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DATA-002.AE1
CompTIA Data+ Study Guide
Prepare for the CompTIA Data+ (DA0-002) certification with a hands-on study guide. Learn data analysis, SQL, Excel, and visualization through real practice. Build job-ready skills and start applying for data analyst roles.
- Practice in 19 Hands-On Labs — nothing to install
- 9 Interactive Lessons and 57 topics mapped to the official exam objectives
- 463 Practice Test Questions and 2 Full Length Tests
Intermediate Self-paced · 1 year access
19 Hands-On LiveLabs
Practice real IT tasks in guided environments.
- Real environments
- Auto-graded
- No installation
9Interactive Lessons
57Topics
19LiveLab
463Practice Test Questions
6Videos
80Flashcards
80Glossary of terms
01 / Skills you'll get
What you will be able to do
Try Free →
No credit card required
This CompTIA Data+ (DA0-002) study guide gives you a clear path to learn data analytics step by step. You work on real datasets, practice SQL and Excel, and build reports that reflect real job tasks. With 17 hands-on labs and 470+ practice questions, you stay focused on what matters for the exam and your career. Build skills you can use from day one.
- Work with data from spreadsheets, databases, and cloud sources
- Clean and prepare data for analysis
- Write SQL queries to extract insights
- Use Excel for analysis and reporting
- Apply basic statistics to find trends
- Create dashboards and visual reports
- Understand data quality and governance
Course Highlights
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9 Structured Lessons Comprehensive coverage of core course objectives
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19 Hands-On LiveLabs Interactive guided scenarios with instant evaluation
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463 Practice Questions Assessment tests with detailed answer rationales
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1 Year Full Access Self-paced learning accessible anytime on all devices
02 / Lessons & labs
See exactly what you will learn and practice
Lessons
9 Interactive Lessons · 57 topics01 Preface 5 topics +
- The Data+ Exam
- What Does This Course Cover?
- Data+ DA0-001 vs. DA0-002: What’s the Difference?
- Data+ DA0-002 Exam Objectives
- DA0-002 Certification Exam Objective Map
02 Today’s Data Analyst 8 topics · 1 LiveLab +
- Welcome to the World of Analytics
- Careers in Analytics
- The Analytics Process
- Analytics Techniques
- Robotic Process Automation
- Data Governance
- Analytics Tools
- Summary
1 LiveLab in this lesson — see the labs panel →
03 Data Analytics Tools 7 topics · 3 LiveLab +
- Spreadsheets
- Programming Languages
- Databases and SQL
- Business Intelligence Software
- Cloud Infrastructure
- Summary
- Exam Essentials
3 LiveLab in this lesson — see the labs panel →
04 Understanding Data 5 topics · 1 LiveLab +
- Exploring Data Types
- Common Data Structures
- Common File Formats
- Summary
- Exam Essentials
1 LiveLab in this lesson — see the labs panel →
05 Databases and Data Acquisition 6 topics · 4 LiveLab +
- Exploring Databases
- Database Use Cases
- Data Acquisition Concepts
- Working with Data
- Summary
- Exam Essentials
4 LiveLab in this lesson — see the labs panel →
06 Data Quality 5 topics · 2 LiveLab +
- Data Inconsistencies
- Data Transformation Techniques
- Managing Data Quality
- Summary
- Exam Essentials
2 LiveLab in this lesson — see the labs panel →
07 Data Analysis and Statistics 7 topics · 2 LiveLab +
- Communication Approaches
- Fundamentals of Statistics
- Statistical Functions and Measures
- Troubleshooting
- Analysis Techniques
- Summary
- Exam Essentials
2 LiveLab in this lesson — see the labs panel →
08 Data Visualization with Reports and Dashboards 8 topics · 4 LiveLab +
- Exploring Visualization Elements
- Understanding Business Requirements
- Understanding Design Elements
- Understanding Dashboard Development Methods
- Delivery Considerations
- Report Validation Techniques
- Summary
- Exam Essentials
4 LiveLab in this lesson — see the labs panel →
09 Data Governance 6 topics · 2 LiveLab +
- Data Management Concepts
- Data Compliance Concepts
- Data Privacy and Protection
- Data Quality Assurance Practices
- Summary
- Exam Essentials
2 LiveLab in this lesson — see the labs panel →
Hands-On Labs Our edge
19 LiveLabs- Learning the Analytics Process
- Performing Basic Data Analysis in Microsoft Excel
- Designing and Optimizing Database Tables Using MySQL Workbench
- Managing and Analyzing Structured Data in MySQL Workbench
- Exploring Data Types in Microsoft Excel
- Creating and Analyzing a Relational Database in MySQL Workbench
- Analyzing and Summarizing Data Using Aggregations, Grouping, and Subqueries in SQL
- Integrating and Analyzing Data Across Tables Using SQL JOINs
- Filtering and Sorting Analytical Data Using SQL
- Detecting Data Quality Issues Using SQL
- Performing Data Transformation and Cleansing Techniques Using SQL
- Transforming Analytical Data Using Logical, Date, and String Functions in SQL
- Applying Mathematical Functions for Exploratory Data Analysis Using SQL
- Creating Pivot Tables to Analyze Exhaust Sales Data
- Analyzing Regional Sales Performance in Power BI
- Analyzing Relationships and Distributions Using Exploratory Data Visualization
- Analyzing Business Trends and Category Performance Using Power BI Visualizations
- Managing Data Governance and Compliance
- Securing Data and Ensuring Quality
Labs run in your browser — nothing to install.
03 / FAQs
Questions before you start
Is this CompTIA Data+ Study Guide suitable for beginners?+
Yes, this CompTIA Data+ Study Guide is structured to guide beginners through core data analysis concepts, from understanding data types to using SQL databases. However, expect to put in the work; foundational IT knowledge helps, but isn't strictly required.
What makes this CompTIA Data+ exam prep effective for passing the DA0-002?+
We focus on practical application. With 15 hands-on labs, 140 practice quizzes, and 303 exercises, you'll gain direct experience with Data Analytics Tools and real-world data challenges. Simply memorizing won't cut it; you need to apply the concepts.
Does this course cover SQL for Data Analytics extensively?+
Absolutely. We dedicate significant sections to Databases and SQL, covering essential commands and concepts for data acquisition and manipulation. While comprehensive, remember that mastering SQL requires consistent practice beyond the course material.
What kind of data analysis tools will I learn to use? +
You'll gain proficiency with common tools including spreadsheets, programming languages (conceptual understanding), SQL databases, business intelligence software, and cloud infrastructure for data analytics. The focus is on foundational understanding, not deep expertise in every single vendor-specific tool.
How important is data governance for the CompTIA Data+ certification?+
Data governance is critical. The course covers data management, compliance, privacy, and quality assurance practices. Ignoring these aspects can lead to significant legal and operational failures in real-world data projects.
What skills do you gain from a Data+ certification course?+
You build job-ready skills:
Data analysis using Excel and SQL
Data visualization and dashboards
Basic business intelligence concepts
Data interpretation for decision-making
Start Your Data Career with Confidence
Access the CompTIA Data+ Study Guide. Build real data skills. Practice with hands-on labs. Get ready for certification and job roles in data analysis.
- 1 year of full access
- 19 LiveLab included
- Certificate of completion
No credit card required