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CompTIA Data+ (Preparation for Exam DA0-002)
Duration
5 Days
Course
COMP-DA0-002
Available Formats
Classroom Training, Online Training
Course Description
Overview
CompTIA Data+ is an early-career data analytics certification that shows you have the practical skills to turn raw data into meaningful insights. Gain the confidence to analyze, interpret, and communicate data clearly, so you can solve real business problems, stand out to employers, and help your organization make smarter, data-driven decisions.Exam Details:
- Maximum of 90 questions (multiple-choice and performance-based)
- Multiple choice and performance-based
- 90 Minutes
- Passing Score: 720 (on a scale of 100–900)
- Exam version: V2
- Exam series code: DA0-002
Objectives
During this course, students will be able to learn:
- Build a foundation in modern data concepts so you can confidently navigate analytics tools and data sources in any organization.
- Transform, clean, and organize raw data to make it reliable and useful for analysis.
- Apply statistical methods to extract trends, uncover insights, and support business decisions.
- Use data visualizations and dashboards to translate complex results into presentations anyone can understand.
- Maintain data quality, ensure compliance, and protect sensitive information in alignment with industry standards.
- Solve data problems, validate reports, and resolve analytics issues as they arise on the job.
Audience
Data Architect, Data Analyst, Data Scientist, Business Analyst, Reporting Analyst, Operations Analyst
Prerequisites
-
Recommended experience: 18–24 months in a data analyst or similar job role, with exposure to databases, analytical tools, basic statistics, and data visualization
Topics
Data+ (V2) exam objectives summary
Data concepts and environments (20%)
Data acquisition and preparation (22%)
Data analysis (24%)
Data governance (14%)
- Explain data concepts: Database types, data structures, file extensions, and data types.
- Identify data sources: Databases, APIs, website data, files, logs and repositories.
- Recognize infrastructure concepts: Cloud, on-premise, storage, and containerization.
- Identify data tools: Coding environments, BI software, and analysis platforms.
- Understand AI concepts: Identify AI models, natural language processing, and robotic automation.
- Use data acquisition methods: Data integration and queries to gather and combine data.
- Perform data exploration: Find missing values, duplication, redundancy, or outliers.
- Apply data transformation: Cleansing, merging, parsing, and formatting data.
- Communicate analysis results: Select methods for different audiences.
- Select statistical methods: Apply basic statistical techniques to data.
- Troubleshoot analysis issues: Use tools and resources to resolve problems.
- Visualization and reporting (20%)
- Create effective visuals:?Use charts, maps, tables, and design elements.
- Deliver reports:?Provide dashboards or summaries using appropriate methods.
- Validate reporting accuracy:?Apply validation and review to solve reporting issues
- Explain data management practices:?Documentation, versioning, and data lineage.
- Summarize compliance requirements:?Retention, audits, and regulations.
- Compare privacy and protection strategies:?Access control, encryption, and masking.
- Implement quality assurance:?Profiling, monitoring, and testing for data quality.
Related Courses
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CompTIA Data+ (DA0-001) Complete Bundle
COMP-CB-DA0001- Duration: 360
- Delivery Format: Self-Paced Training
- Price: 1,129.00 USD
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CompTIA Data+ (DA0-001) Exam Voucher
LQEX-COMP-DA0-001- Duration: 1 Day
- Delivery Format: Exam Vouchers
- Price: 253.00 USD
Self-Paced Training Info
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- Same in-demand topics as instructor-led public and private classes.
- Standalone learning or supplemental reinforcement.
- e-Learning content varies by course and technology.
- View the Self-Paced version of this outline and what is included in the SPVC course.
- Learn more about e-Learning
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