CompTIA Data+ Certification (DA0-001) Online Training Course

Course Description for CompTIA Data+ Certification Prep

The “CompTIA Data+ Certification Prep” course is designed to provide you with the fundamental skills needed to excel in data analytics. This course thoroughly covers key data concepts, from data environments to governance, equipping you with practical expertise in data structures, mining, and visualization. With real-world examples and hands-on demonstrations, such as working with AWS Redshift and Google Cloud SQL, you’ll learn to manage data effectively and perform statistical analysis to make informed decisions.

Throughout the course, you’ll also explore advanced topics such as ETL and ELT processes, data profiling, and query optimization. You’ll learn how to translate business requirements into comprehensive reports and dashboards, all while adhering to data governance standards. This course prepares you to take the CompTIA Data+ (DAO-001) exam, providing a pathway to certification in a rapidly growing industry.

What You Will Learn in CompTIA Data+ Certification Prep

By enrolling in this course, you will gain a robust understanding of data management, analysis, and visualization techniques, which are essential for any data professional. Here’s a glimpse of the skills you will develop:

• Understand and work with different data schemes and databases
• Perform data mining, acquisition, and integration using advanced tools
• Master data profiling, cleansing, and manipulation techniques
• Analyze data using descriptive and inferential statistics
• Create and optimize reports and dashboards for business analysis
• Implement data governance, security, and quality control practices
• Prepare for the CompTIA Data+ (DAO-001) certification exam

Exam Objectives for CompTIA Data+ (DAO-001)

The CompTIA Data+ (DAO-001) certification exam tests your ability to manage and analyze data effectively. The exam focuses on five core areas:

•     Data Concepts and Environments
•     Data Mining and Acquisition
•     Data Analysis
•     Data Visualization
•     Data Governance, Quality, and Controls

The exam is administered by CompTIA, and this course is specifically designed to help you meet the knowledge and performance-based requirements outlined by CompTIA.

Who This CompTIA Data+ Certification Prep Course is For

This course is ideal for individuals looking to start or advance their careers in data analytics and management. Whether you are new to the field or seeking to formalize your skills, this course will provide you with a strong foundation to succeed.

• Data professionals looking to validate their skills with a certification
• IT professionals seeking to expand their data management knowledge
• Business analysts interested in improving their data visualization techniques
• Students pursuing a career in data science or data analytics
• Anyone preparing for the CompTIA Data+ (DAO-001) exam

Possible Jobs You Can Get With This CompTIA Data+ Certification

Upon completing this course and earning your CompTIA Data+ certification, you’ll open doors to a variety of high-demand job roles. Here are some potential career opportunities:

•     Data Analyst
•     Business Intelligence Analyst
•     Data Reporting Analyst
•     Database Administrator
•     Data Engineer
•     Systems Analyst

Introduction To CompTIA Data+
Course Welcome
Module Overview
Instructor Introduction
What is the CompTIA Data Plus Exam
Roles that should consider the exam
Exam Objectives
Discussion – The Importance of Data
US DOD Member Data Directives and 8570

Module 1 – Data Concepts and Environments
1.1 Module Overview
1.2 Understanding Data Schemes
1.3 Databases
1.4 Demonstration – Google Cloud SQL
1.5 Data Warehouses and Data Lakes
1.7 Comparing OLTP and OLAP Processing
1.8 Demonstration – AWS Redshift
1.9 Demonstration – Deploy SQL DemoBench
1.10 What is Column Database
1.11 Data Structures, Files and Types
1.12 Module Summary Review
1.13 Module Review Questions

Module 2 – Data Mining
2.1 Module 2 Overview
2.2 Data Acquisition and Integration
2.3 Demonstration – Data Integration Techniques
2.4 API Fundamentals
2.5 Demonstration – Google Vision API
2.6 Data Profiling and Cleansing
2.7 Data Collection Method Options
2.8 Data Outliers
2.9 Understanding ETL and ELT
2.10 Query Optimization
2.11 Understanding Data Manipulation Techniques
2.12 Module Summary Review
2.13 Module Review Questions

Module 3 – Data Analysis
3.1 Module Overview
3.2 Descriptive Statistical Methods
3.3 Measures of Tendency and Dispersion
3.4 Understanding Percentages
3.5 Inferential Statistical Methods
3.6 Hypothesis Testing with Excel
3.7 Whiteboard – Linear Regression and Correlation
3.8 Whiteboard – Analysis Testing
3.9 Module Summary Review
3.10 Module Review Questions

Module 4 – Data Visualization
4.10 Module Review Questions
4.1 Module Overview
4.2 Translate Business Requirements to Reports
4.3 Whiteboard – Translate Business Requirements
4.4 Dashboard Fundamentals
4.5 Demonstration – Dashboard Components
4.6 Data Sources and Attributes
4.7 Understanding Chart and Graphs
4.8 Reports Type and Elements
4.9 Module Summary Review

Module 5 – Data Governance, Quality and Controls
5.1 Module Overview
5.2 Introduction to Data Governance
5.3 The Data Lifecycle
5.4 Determining Data Classification
5.5 Data Ownership
5.6 Data Storage Access
5.7 Data Privacy and Frameworks
5.8 Information Rights Management (IRM) and Data Loss Prevention (DLP)
5.9 Setting Data Quality Control
5.10 Methods to Validate Quality
5.11 Data Transformation Tools
5.12 Data Security Fundamentals
5.13 Master Data Management (MDM)
5.14 Module Summary Review
5.15 Module Review Questions

Module 6 – Exam Preparation and Practice Exams
6.1 Module Overview
6.2 Course Summary Review
6.3 Data Plus Exam Experience
6.4 Certification CEU Requirements
6.5 Practice Exams-Additional Resources
6.6 Course Closeout