CompTIA Data+

Foundation Level

Master data analytics and empower data-driven decisions in 2026.
The CompTIA Data+ Certification (DA0-001) is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making. This credential validates that certified professionals have the skills required to facilitate data-driven business decisions.
Equip yourself with skills to better analyze and interpret data, communicate insights, and demonstrate competency. 

What will you learn from CompTIA Data+:

Your gateway to data mastery and analytics excellence.

This 5-day hands-on training program prepares participants for the CompTIA Data+ Certification exam (DA0-001).

CompTIA Data+ is a vendor-neutral, ISO-accredited certification designed for early-career data analysts. It proves you have hands-on skills in collecting, preparing, analyzing, visualizing, and managing data—helping you support business decision-making.

This top data analytics credential is recognized by employers, aligns with real-world data analyst job requirements, and is mapped to the NICE Framework Data Analyst role (IO-WRL-001). Data+ can help you stand out for entry-level positions and launch your data analytics career.

Level up in 2026:

HRDC Claimable and Malaysian Bumiputera eligible for Yayasan Peneraju Financing Scheme. T&C applies

Fees:

RM3,500

Intakes:

6-10 Apr 2026

What are the key skills measured:

  • Data Concepts and Environments:

    • Explain data concepts: Database types, data structures, file extensions, and data types.
    • Identify data sources: Databases, APIs, website data, files, logs and repositories.
    • Recognize infrastructure concepts: Cloud, on-premise, storage, and containerization.
    • Identify data tools: Coding environments, BI software, and analysis platforms.
    • Understand AI concepts: Identify AI models, natural language processing, and robotic automation. 

  • Data acquisition and preparation:

    • Use data acquisition methods: Data integration and queries to gather and combine data.
    • Perform data exploration: Find missing values, duplication, redundancy, or outliers.
    • Apply data transformation: Cleansing, merging, parsing, and formatting data. 

  • Data Analysis:

    • Communicate analysis results: Select methods for different audiences.
    • Select statistical methods: Apply basic statistical techniques to data.
    • Troubleshoot analysis issues: Use tools and resources to resolve problems.

  • Visualization and Reporting:

    • Create effective visuals: Use charts, maps, tables, and design elements.
    • Deliver reports: Provide dashboards or summaries using appropriate methods.
    • Validate reporting accuracy: Apply validation and review to solve reporting issues

  • Data Governance:

    • Explain data management practices: Documentation, versioning, and data lineage.
    • Summarize compliance requirements: Retention, audits, and regulations.
    • Compare privacy and protection strategies: Access control, encryption, and masking.
    • Implement quality assurance: Profiling, monitoring, and testing for data quality. 

Who is this for?

  • Data Architect.

  • Data Analyst.
  • Business Analyst.
  • Reporting Analyst.
  • Operations Analyst.

  • Marketing Analyst.

Turn raw data into powerful insights with CompTIA Data+ and stay ahead in the digital economy!

Over the past 12 months, employers have listed over 1 million job postings seeking candidates with skills in data analysis, data mining, or data visualization.
Data-related jobs are among the fastest-growing occupations, with positions like data scientists expected to grow up to five times faster than other occupations through the end of this decade.
The median salary for data analysts is $95,270 per year, which is 108% higher than the median national wage.

Industry-Recognized:

Gain skills across multiple industries and platforms. Whether you’re working with SQL databases, Excel, or Python-based analytics, this certification proves your ability to analyze and interpret data effectively.

Master the Full Data Lifecycle:

CompTIA Data+ covers data mining, manipulation, visualization, and governance, ensuring you can handle real-world data challenges. You’ll learn to collect, clean, and interpret data to generate meaningful business insights, making you a valuable asset in any data-driven organization.

The Perfect Certification for Aspiring Data Analysts:

CompTIA Data+ provides a structured learning path to help entry-level professionals transition into data analyst, reporting analyst, and business intelligence roles. It validates essential skills like data visualization, statistical analysis, and governance, making it an ideal first step for anyone pursuing a career in analytics.

Cost-Effective Alternative to Expensive Data Certifications:

Many advanced data analytics certifications require years of experience and costly training programs. CompTIA Data+ offers an affordable, globally recognized alternative that prepares you for high-demand data analytics roles without requiring prior coding experience.

Customer testimonials

“I have had my A+ cert for about 4 years now, and it has opened so many doors for me to get job after job in a very competitive market. I would advise anyone that can afford to take the test to take it – you will not regret it. Your IT career will sky rocket.”

Paul Busby, help desk analyst, UPS

“CompTIA certifications buffed up my resume and landed me a great job. Not only did I gain knowledge in the field, I gained confidence and strategies for success in my career.”

Tedley Meralus, information technology support specialist, GeoGlobal Partners, LLC

Why choose Trainocate?

Trainocate is a trusted CompTIA authorized training provider with a proven track record of delivering high-quality, industry-recognized IT and data analytics training. Our certified instructors offer hands-on, practical learning experiences, ensuring you gain the skills and confidence needed to pass the CompTIA Data+ exam and excel in real-world data analytics roles.

With flexible learning options, post-training support, and a high exam success rate, Trainocate is your ideal partner for upskilling and career growth in data analytics

Exam Overview

Exam Codes:

DA0-002

Exam Description:

The CompTIA Data+ exam will certify the successful candidate has the knowledge and skills required to transform business requirements in support of data-driven decisions through mining and manipulating data, applying basic statistical methods, and analyzing complex datasets while adhering to governance and quality standards throughout the entire data life cycle.

Exam Duration:

90 minutes

Exam Format:

Maximum of 90 questions; multiple choice and performance-based

Testing Provider:

Pearson VUE testing center or online testing

Language offered:

English, Japanese, Thai

Recommended Experience:

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

Launch Date:

October 14th, 2025

Retirement:

Usually three years after launch

Passing Score:

675 (on scale of 100–900)

Open up new possibilities for your career

Frequently Asked Questions (FAQs)

1. Why Are Data and Analytics Skills Important?

Data-related jobs are among the fastest-growing fields, with roles like data scientists expected to grow 5x faster than other occupations. Over 1 million job postings in the past year required skills in data analysis, mining, or visualization. CompTIA Data+ helps develop these in-demand skills.

2. What is the Role of Data Analytics?

Data analytics transforms raw data into valuable insights. The process includes:

✔ Collection & Storage: Gathering data from transactions, social media, and sensors.

✔ Processing & Organization: Cleaning, structuring, and securing data.

✔ Analysis & Visualization: Using reports, dashboards, and predictive analytics to drive decisions.

3. Why Is Data Analytics Important?

Companies collect vast amounts of data, but without proper management and analysis, its value is lost. Data analytics enhances business decisions, eliminates silos, and integrates data from multiple sources for a holistic view of operations.

4. Is CompTIA Data+ worth my time and money?

Yes. CompTIA Data+ provides immediate career value and excellent ROI for data professionals. CompTIA Data+ holders earn an average salary of US $154,719, making it one of the top-paying certifications in the 2025 market.

Strong choice for IT pros and analysts seeking higher pay and career mobility in data roles.

5. Who should take the CompTIA Data+ certification?

CompTIA Data+ is designed for professionals in business, IT, and operations who need to collect, analyze, and interpret data to make informed decisions.

It’s especially suitable for early-career professionals in roles like business analyst, marketing analyst, financial operations, and IT support where data handling is frequent. This certification is also ideal for cross-functional employees transitioning into data roles without a formal analytics background.

CompTIA states Data+ is intended for “professionals tasked with developing and promoting data-driven business decision-making,” making it suitable even for those transitioning from non-technical backgrounds

If you’re handling spreadsheets, dashboards, or reports—even in HR, sales, or ops—Data+ helps you build real-world data fluency and become indispensable to your organization.

6. Is CompTIA Data+ suitable for learners new to Data Analytics?

Yes. CompTIA Data+ offers an accessible, vendor-neutral foundation in data analytics, with no need for coding or advanced mathematics.
The certification exam covers core concepts such as data mining, visualisation, governance, and basic statistics in a way that’s friendly to beginners.

US Bureau of Labor Statistics projects a 23% increasein demand for data-related roles between 2023 and 2033, greatly outpacing the 4% average across all occupations.

✅ The certification helps you align with industry demand and begin a career in data analytics at entry-level.

Recommended Reads

Become a Data Analyst with CompTIA Data+

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