CompTIA Data+

As organizations increasingly rely on data to inform strategic business decisions, demand is rising for professionals who can translate raw information into actionable insights. The CompTIA Data+ certification is an early-career data analytics certification that validates the skills required to collect, analyze, interpret, and present data with clarity and confidence. This 5-day certification training course prepares you for the CompTIA Data+ certification exam (DA0-001). It’s ideal for aspiring data analysts, business professionals, or IT specialists looking to deepen their understanding of data analysis and data governance. You’ll gain hands-on data analytics experience across the entire data life cycle, from data mining and transformation to data visualization and reporting. Whether you’re new to the field or want to formalize your data analytics knowledge, this course gives you the foundation to work with complex datasets while adhering to governance and quality standards throughout the entire process.

Course Details

Price:

$2,495.00

Days:

Location:

Virtual

Course Overview

This course teaches foundational data analytics skills aligned with the CompTIA Data+ certification exam (DA0-001). You’ll learn how to mine data from multiple sources, clean and manipulate it for analysis, and apply basic statistical methods to interpret data effectively. The course also emphasizes data governance and quality standards throughout the entire data life cycle. By the end of the training, you’ll be able to build compelling visualizations, use analytical tools to support business decisions, and confidently pursue this early-career data analytics certification.

CompTIA recommends 18–24 months of experience in a report/business analyst job role, exposure to databases and analytical tools, a basic understanding of statistics, and data visualization experience

1 – Identifying Basic Concepts of Data Schemas

Relational vs. non-relational databases
Tables, primary keys, normalization

2 – Understanding Different Data Systems

Types of data processing and storage
How data changes over time

3 – Understanding Types and Characteristics of Data

Structured vs. unstructured data
File types and field data

4 – Comparing Data Structures, Formats, and Languages

CSV, JSON, XML
Common code languages used for data

5 – Data Integration and Collection

ETL processes
API/web scraping
Public and survey data collection

6 – Data Cleansing and Profiling

Handling missing or invalid data
Converting and validating data

7 – Data Manipulation Techniques

Querying, appending, and transforming data
Creating calculated fields and variables

8 – Data Optimization

Query optimization
Efficient function use

9 – Descriptive Statistics

Central tendency and dispersion
Frequency and percentages

10 – Key Analytical Techniques

Introduction to common analysis types

11 – Statistical Methods

Hypothesis testing
Relationships between variables

12 – Data Visualization

Basic and advanced visuals
Geographical data maps
Telling stories with visuals

13 – Business Reporting Requirements

Identifying audience needs
Data source considerations
Sorting and filtering

14 – Designing Reports and Dashboards

Narrative and design elements
Deployment considerations

15 – Deployment Considerations

Timing, updating, and types of reports

16 – Data Governance

Access policies
Security and entity relationship rules

17 – Data Quality Control

Data validation and quality metrics

18 – Master Data Management

MDM basics and processes

Class Dates & Times


08/18/2025 - 08/22/2025 Virtual 09:00:00 to 17:00:00 EST Enroll Now $2,495.00
11/17/2025 - 11/21/2025 Virtual 09:00:00 to 17:00:00 EST Enroll Now $2,495.00

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