CompTIA

CompTIA Data+ Study Guides

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.

(DATA-002.AE1) / ISBN : 979-8-90059-111-7
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About This Course

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.

Skills You’ll Get

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 basics
Download Course Outline

1

Introduction

2

Preface

  • The Data+ Exam
  • What Does This Course Cover?
  • Data+ DA0-002 Exam Objectives
  • DA0-002 Certification Exam Objective Map
3

 Today’s Data Analyst

  • Welcome to the World of Analytics
  • Careers in Analytics
  • The Analytics Process
  • Analytics Techniques
  • Robotic Process Automation
  • Data Governance
  • Analytics Tools
  • Summary
4

Data Analytics Tools

  • Spreadsheets
  • Programming Languages
  • Databases and SQL
  • Business Intelligence Software
  • Cloud Infrastructure
  • Summary
  • Exam Essentials
5

Understanding Data

  • Exploring Data Types
  • Common Data Structures
  • Common File Formats
  • Summary
  • Exam Essentials
6

Databases and Data Acquisition

  • Exploring Databases
  • Database Use Cases
  • Data Acquisition Concepts
  • Working with Data
  • Summary
  • Exam Essentials
7

Data Quality

  • Data Inconsistencies
  • Data Transformation Techniques
  • Managing Data Quality
  • Summary
  • Exam Essentials
8

Data Analysis and Statistics

  • Communication Approaches
  • Fundamentals of Statistics
  • Statistical Functions and Measures
  • Troubleshooting
  • Analysis Techniques
  • Summary
  • Exam Essentials
9

Data Visualization with Reports and Dashboards

  • Exploring Visualization Elements
  • Understanding Business Requirements
  • Understanding Design Elements
  • Understanding Dashboard Development Methods
  • Delivery Considerations
  • Report Validation Techniques
  • Summary
  • Exam Essentials
10

 Data Governance

  • Data Management Concepts
  • Data Compliance Concepts
  • Data Privacy and Protection
  • Data Quality Assurance Practices
  • Summary
  • Exam Essentials

1

 Today’s Data Analyst

2

Data Analytics Tools

  • Performing Basic Data Analysis in Microsoft Excel
  • Analyzing a Data Analytics Workflow Using Scala
  • Managing and Analyzing Structured Data in MySQL Workbench
  • Designing and Optimizing Database Tables Using MySQL Workbench
3

Understanding Data

  • Exploring Data Types in Microsoft Excel
4

Databases and Data Acquisition

  • Creating and Analyzing a Relational Database in MySQL Workbench
  • Integrating and Analyzing Data Across Tables Using SQL JOINs
  • Analyzing and Summarizing Data Using Aggregations, Grouping, and Subqueries in SQL
  • Filtering and Sorting Analytical Data Using SQL
5

Data Quality

  • Detecting Data Quality Issues Using SQL
  • Performing Data Transformation and Cleansing Techniques Using SQL
6

Data Analysis and Statistics

  • Transforming Analytical Data Using Logical, Date, and String Functions in SQL
  • Applying Mathematical Functions for Exploratory Data Analysis Using SQL
7

Data Visualization with Reports and Dashboards

  • Analyzing Relationships and Distributions Using Exploratory Data Visualization
  • Analyzing Regional Sales Performance Using Geographic and Hierarchical Visualizations in Power BI
  • Analyzing Business Trends and Category Performance Using Power BI Visualizations
  • Creating Pivot Tables to Analyze Exhaust Sales Data
8

 Data Governance

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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.

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.

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.

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.

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.

You build job-ready skills: Data analysis using Excel and SQL Data visualization and dashboards Basic business intelligence concepts Data interpretation for decision-making

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