CompTIA Data+ Certification Training Course (Self-Paced)

This course includes

30 hours of project-based training from experts
Answers from real instructors
Proprietary workbook included
Retake for free within 1 year
Verified digital certificate of completion
Learn at an accredited institution
Credits: 3 CEUs

This Course is self-paced. For live online or in-person instructions, take CompTIA Data+ Certification Training.

In this course, you will cover the knowledge and skills required to transform business requirements in support of data-driven decisions by mining data, manipulating data, applying basic statistical methods, and analyzing complex data sets while adhering to governance and quality standards throughout the entire data lifecycle. In addition, it will help prepare candidates to take the CompTIA Data+ certification exam.

Full Tuition

$2,499
Due before the class starts

This course includes

30 hours of project-based training from experts
Answers from real instructors
Proprietary workbook included
Retake for free within 1 year
Verified digital certificate of completion
Learn at an accredited institution
Credits: 3 CEUs

Learning Experience Highlights

Training from government‑experienced instructors

Receive instruction from subject‑matter experts who bring proven government experience.

Specialized for government & DoD

Courses that are regularly updated based on feedback and industry developments, ensuring versions are mapped to federal competencies.

The instructor was wonderful and so knowledgeable. The course materials were extremely relevant to what my job is. I feel like I can be better because of this class.
— 2025 student

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24/7 access to our premium course videos and projects.
Industry experts are assigned as your course instructor. Message your instructor with any questions.
Participate in GSUSA online discussion forums — share ideas and receive additional support.
Hands-on quizzes and mini projects to test and reinforce concepts.

Earn a Certificate of Completion

Upon completion of this course, you’ll receive an official certificate testifying to your mastery of the curriculum. We’ll send you a link where you can download your certificate, share it online with your friends, post it to your professional network on LinkedIn, and view all your earned certificates. Congratulations on your achievement!

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Sample credential for completion of CompTIA Data+ Certification Training Course (Self-Paced)

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CompTIA Data+ Certification Training Course (Self-Paced) Curriculum

What You'll Learn at a Glance

Mine data.
Manipulate data.
Visualize and report data.
Apply basic statistical methods.
Analyze complex datasets while adhering to governance and quality standards throughout the entire data life cycle.

Course Syllabus

Download Syllabus PDF

Lesson 1: Identifying Basic Concepts of Data Schemas

Understand the fundamental concepts of data schemas.
Learn how data schemas are structured and used in business environments.
Explore the role of schemas in data storage and organization.

Lesson 2: Understanding Different Data Systems

Learn about various data systems and their purposes.
Compare and contrast relational and non-relational data systems.
Understand the advantages and challenges of each system type.

Lesson 3: Understanding Types and Characteristics of Data

Explore different data types (e.g., structured, semi-structured, unstructured).
Understand the characteristics of data and how they impact analysis.
Examine data quality and its importance in decision-making.

Lesson 4: Comparing and Contrasting Different Data Structures, Formats, and Markup Languages

Learn about common data structures and formats used in analytics.
Understand how markup languages influence data representation.
Explore how these structures impact data integration and analysis.

Lesson 5: Explaining Data Integration and Collection Methods

Learn the methods used for collecting and integrating data from various sources.
Understand best practices for ensuring accurate data collection.
Explore tools and techniques used in data integration.

Lesson 6: Identifying Common Reasons for Cleansing and Profiling Data

Understand the importance of data cleansing and profiling.
Learn techniques for identifying data quality issues.
Examine strategies to improve data integrity.

Lesson 7: Executing Different Data Manipulation Techniques

Explore data manipulation techniques such as filtering, sorting, and transforming data.
Learn how to apply these techniques to clean and optimize data.

Lesson 8: Explaining Common Techniques for Data Manipulation and Optimization

Understand optimization strategies for handling large datasets.
Learn about the role of indexing and query optimization in data systems.

Lesson 9: Applying Descriptive Statistical Methods

Learn how to apply descriptive statistics such as mean, median, and mode.
Understand the importance of these methods in data analysis.

Lesson 10: Describing Key Analysis Techniques

Examine key analysis techniques such as regression and correlation.
Understand how these techniques help in drawing business conclusions.

Lesson 11: Understanding the Use of Different Statistical Methods

Learn about various statistical methods used in data analysis.
Explore the application of these methods in solving real-world business problems.

Lesson 12: Using the Appropriate Type of Visualization

Learn how to select and use the correct type of visualization for different data sets.
Understand the principles of data visualization design.

Lesson 13: Expressing Business Requirements in a Report Format

Learn how to translate business requirements into structured data reports.
Understand how to present data in an easily understandable format for stakeholders.

Lesson 14: Designing Components for Reports and Dashboards

Learn how to design effective components for reports and dashboards.
Understand best practices in report design for data-driven decisions.

Lesson 15: Distinguishing Different Report Types

Understand the differences between operational, analytical, and strategic reports.
Learn how to choose the right report type based on business needs.

Lesson 16: Summarizing the Importance of Data Governance

Understand the concept of data governance and its impact on data management.
Learn about policies, procedures, and standards for managing data governance.

Lesson 17: Applying Quality Control to Data

Learn quality control techniques and their application in data management.
Understand how to maintain data quality throughout the lifecycle.

Lesson 18: Explaining Master Data Management Concepts

Learn about master data management and its importance in managing critical business data.
Understand how master data management ensures consistency and accuracy across systems.

Group Training

Since 1921, Graduate School USA has partnered with over 125 federal agencies and trained more than one million federal employees. Led by instructors with deep, real-world knowledge of federal regulations, policies, and practices, our private group programs are practical, mission-driven, and tailored to your agency’s objectives. We offer expertise across key federal domains—including human resources, financial management, acquisition and contracting, leadership, and more—to deliver training where and how your team needs it.

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