CompTIA Data+ (DA0-001) — Study Guide
Free, topic-by-topic study notes for the CompTIA Data+ (DA0-001) exam. Read a chapter, then practice it.
Data Concepts and Environments
This chapter establishes the vocabulary of data analytics. You will learn the types of data, the systems that store it, the difference between transactional and analytical processing, and how warehouses, lakes, and marts differ.
Data Mining and Preparation
This chapter covers acquiring data and preparing it for analysis. You will learn data acquisition and integration, the ETL and ELT patterns, combining datasets with joins and blends, cleansing techniques, and profiling to assess quality.
Data Analysis
This chapter covers turning prepared data into insight. You will learn the four levels of analytics, common descriptive statistics, the difference between correlation and causation, and the basics of hypothesis testing.
Visualization and Reporting
This chapter covers communicating findings visually. You will learn how to match chart types to the data and message, design effective dashboards and reports, and use KPIs and storytelling to make insight actionable.
Data Governance, Quality, and Controls
This chapter covers keeping data trustworthy and secure. You will learn the dimensions of data quality, master data management, privacy and access controls, and data classification and retention.
Practice by topic
Jump straight into free practice questions for any single CompTIA Data+ (DA0-001) topic.