Course Description
CompTIA Data+ (DAO-001) Certification
The CompTIA Data+ certification is designed for data professionals who want to validate their skills in data analytics and management. It equips individuals with the knowledge to analyze, interpret, and manage data for informed business decision-making. This entry-level certification focuses on key areas of data management, analysis, reporting, and visualization.
Key Areas Covered:
- Data Mining and Analysis: Provides essential skills for collecting, organizing, and analyzing data to identify trends, patterns, and insights.
- Data Visualization: Teaches how to effectively present data using charts, graphs, and dashboards to communicate findings clearly to stakeholders.
- Data Governance and Quality: Covers the principles of maintaining data accuracy, privacy, and security, ensuring compliance with industry standards.
- Business Insights and Reporting: Helps candidates understand how to transform data into actionable insights for decision-making, focusing on generating meaningful reports.
- Data Lifecycle Management: Explores the complete data lifecycle, from collection and storage to disposal, ensuring efficient data management.
- Career Growth: Prepares individuals for roles such as data analyst, business analyst, and data reporting specialist, providing a pathway into data-driven careers.
- Industry-Recognized: A globally recognized credential that demonstrates competency in essential data analytics skills, making candidates more attractive to employers.
- Foundation for Advanced Roles: Lays the groundwork for more specialized data certifications and career advancement in fields like data science and business intelligence.
CompTIA Data+ is an ideal certification for professionals looking to enhance their data analytics skills and contribute to informed decision-making within organizations.
Proudly Display Your Achievement
Upon completion of your training, you will receive a personalized certificate of completion to help validate your new skills.
Step-by-Step Courses List
Introduction To CompTIA Data+
- Â Â Â Course Welcome
- Â Â Â Module Overview
- Â Â Â Instructor Introduction
- Â Â Â What is the CompTIA Data Plus Exam
- Â Â Â Roles that should consider the exam
- Â Â Â Exam Objectives
- Â Â Â Discussion - The Importance of Data
- Â Â Â US DOD Member Data Directives and 8570
Module 1 - Data Concepts and Environments
- Â Â Â 1.1 Module Overview
- Â Â Â 1.2 Understanding Data Schemes
- Â Â Â 1.3 Databases
- Â Â Â 1.4 Demonstration - Google Cloud SQL
- Â Â Â 1.5 Data Warehouses and Data Lakes
- Â Â Â 1.7 Comparing OLTP and OLAP Processing
- Â Â Â 1.8 Demonstration - AWS Redshift
- Â Â Â 1.9 Demonstration - Deploy SQL DemoBench
- Â Â Â 1.10 What is Column Database
- Â Â Â 1.11 Data Structures, Files and Types
- Â Â Â 1.12 Module Summary Review
- Â Â Â 1.13 Module Review Questions
Module 2 - Data Mining
- Â Â Â 2.1 Module 2 Overview
- Â Â Â 2.2 Data Acquisition and Integration
- Â Â Â 2.3 Demonstration - Data Integration Techniques
- Â Â Â 2.4 API Fundamentals
- Â Â Â 2.5 Demonstration - Google Vision API
- Â Â Â 2.6 Data Profiling and Cleansing
- Â Â Â 2.7 Data Collection Method Options
- Â Â Â 2.8 Data Outliers
- Â Â Â 2.9 Understanding ETL and ELT
- Â Â Â 2.10 Query Optimization
- Â Â Â 2.11 Understanding Data Manipulation Techniques
- Â Â Â 2.12 Module Summary Review
- Â Â Â 2.13 Module Review Questions
Module 3 - Data Analysis
- Â Â Â 3.1 Module Overview
- Â Â Â 3.2 Descriptive Statistical Methods
- Â Â Â 3.3 Measures of Tendency and Dispersion
- Â Â Â 3.4 Understanding Percentages
- Â Â Â 3.5 Inferential Statistical Methods
- Â Â Â 3.6 Hypothesis Testing with Excel
- Â Â Â 3.7 Whiteboard - Linear Regression and Correlation
- Â Â Â 3.8 Whiteboard - Analysis Testing
- Â Â Â 3.9 Module Summary Review
- Â Â Â 3.10 Module Review Questions
Module 4 - Data Visualization
- Â Â Â 4.10 Module Review Questions
- Â Â Â 4.1 Module Overview
- Â Â Â 4.2 Translate Business Requirements to Reports
- Â Â Â 4.3 Whiteboard - Translate Business Requirements
- Â Â Â 4.4 Dashboard Fundamentals
- Â Â Â 4.5 Demonstration - Dashboard Components
- Â Â Â 4.6 Data Sources and Attributes
- Â Â Â 4.7 Understanding Chart and Graphs
- Â Â Â 4.8 Reports Type and Elements
- Â Â Â 4.9 Module Summary Review
Module 5 - Data Governance, Quality and Controls
- Â Â Â 5.1 Module Overview
- Â Â Â 5.2 Introduction to Data Governance
- Â Â Â 5.3 The Data Lifecycle
- Â Â Â 5.4 Determining Data Classification
- Â Â Â 5.5 Data Ownership
- Â Â Â 5.6 Data Storage Access
- Â Â Â 5.7 Data Privacy and Frameworks
- Â Â Â 5.8 Information Rights Management (IRM) and Data Loss Prevention (DLP)
- Â Â Â 5.9 Setting Data Quality Control
- Â Â Â 5.10 Methods to Validate Quality
- Â Â Â 5.11 Data Transformation Tools
- Â Â Â 5.12 Data Security Fundamentals
- Â Â Â 5.13 Master Data Management (MDM)
- Â Â Â 5.14 Module Summary Review
- Â Â Â 5.15 Module Review Questions
Module 6 - Exam Preparation and Practice Exams
- Â Â Â 6.1 Module Overview
- Â Â Â 6.2 Course Summary Review
- Â Â Â 6.3 Data Plus Exam Experience
- Â Â Â 6.4 Certification CEU Requirements
- Â Â Â 6.5 Practice Exams-Additional Resources
- Â Â Â 6.6 Course Closeout
Reviews
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What is Included
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Professional Certification
Exam-focused prep and certification guidance aligned to your learning path.
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ATS-Optimized Resume
Build a resume that highlights your new skills for recruiters and hiring systems.
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Mock Interviews
Practice real interview scenarios with structured feedback from career coaches.
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LinkedIn Optimization
Polish your profile so employers discover your credentials and achievements.
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Job Placement Support
Career guidance and placement resources on eligible programs.
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Practical Labs
Hands-on labs and exercises to reinforce concepts from your courses.
This course gave me a solid understanding of IT and security essentials.
Excellent hands-on labs and real-world scenarios. Perfect for certification prep.
Comprehensive content with practical examples. Great for job readiness.
Comprehensive content with practical examples. Great for job readiness.