CompTIA Data+

Details

CompTIA Data+ Certification Course Overivew

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.

What Is Included

  • Expert-Led Instruction – Learn from certified instructors with practical data analysis and data visualization experience.
  • CompTIA Official Courseware – Get access to up-to-date materials aligned with the latest Data+ certification exam (DA0-001).
  • 90-Day Access to Class Recordings – Rewatch sessions anytime for 90 days post-completion.
  • Guaranteed-to-Run Courses – We don’t cancel scheduled classes.
  • Flexible Rescheduling – Easily reschedule your course if needed (see conditions).
  • Free Course Retake Option – Retake the course at no extra cost (see conditions).

Course Objectives

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.

Who Should Attend?

The CompTIA Data+ certification course is ideal for early-career professionals who work with data or support data-driven decision-making in their organization. This includes aspiring data analysts, business professionals, marketing specialists, operations coordinators, or anyone responsible for interpreting data, creating reports, or contributing to data projects. If you’re looking to break into the data analytics field or validate your foundational data analysis skills, this course provides a strong starting point.

Course Prerequisites

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

What's Included

What’s included?

  • Authorized Courseware
  • Intensive Hands on Skills Development with an Experienced Subject Matter Expert
  • Hands-on practice on real Servers and extended lab support 1.800.482.3172
  • Examination Vouchers & Onsite Certification Testing- (excluding Adobe and PMP Boot Camps)
  • Academy Code of Honor: Test Pass Guarantee
  • Optional: Package for Hotel Accommodations, Lunch and Transportation

Training Solutions

With several convenient training delivery methods offered, The Academy makes getting the training you need easy. Whether you prefer to learn in a classroom or an online live learning virtual environment, training videos hosted online, and private group classes hosted at your site. We offer expert instruction to individuals, government agencies, non-profits, and corporations. Our live classes, on-sites, and online training videos all feature certified instructors who teach a detailed curriculum and share their expertise and insights with trainees. No matter how you prefer to receive the training, you can count on The Academy for an engaging and effective learning experience.

Methods

  • Instructor-Led (the best training format we offer)
  • Live Online Classroom – Online Instructor-Led
  • Self-Paced Video

Speak to an Admissions Representative for complete details

Schedule

StartFinishPublic PricePublic Enroll Private PricePrivate Enroll
12/8/202512/12/2025
12/29/20251/2/2026
1/19/20261/23/2026
2/9/20262/13/2026
3/2/20263/6/2026
3/23/20263/27/2026
4/13/20264/17/2026
5/4/20265/8/2026
5/25/20265/29/2026
6/15/20266/19/2026
7/6/20267/10/2026
7/27/20267/31/2026
8/17/20268/21/2026
9/7/20269/11/2026
9/28/202610/2/2026
10/19/202610/23/2026
11/9/202611/13/2026
11/30/202612/4/2026
12/21/202612/25/2026
1/11/20271/15/2027

Curriculum

CompTIA Data+ Overview

Duration
5 Days

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 process