CT-Data+: CompTIA Data+ Certification

CompTIA Data+ gives your team members the confidence to bring data analysis to life.

CompTIA Data+ is an early-career data analytics certification that gives you the confidence to bring data analysis to life and make data-driven business decisions.

The CompTIA Data+ credential ensures professionals have foundational skills to better analyze and interpret data, communicate insights, and demonstrate competency. CompTIA Data+ can help you develop and refine these skills and prove you have the hands-on experience employers seek.

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

Overview

The Official CompTIA Data+ training course have been developed by CompTIA for the CompTIA Data+ candidate.

CompTIA Data+ teaches learners the knowledge and skills required to transform business requirements in support of data-driven decisions by mining data, manipulating data, applying basic statistical methods, and analyzing complex data sets while adhering to governance and quality standards throughout the entire data lifecycle.

In addition, it will help prepare candidates to take the CompTIA Data+ certification exam.

Discover opportunities in Malaysia’s growing digital economy. With billions of dollars invested by global tech giants like AWS, Microsoft, Google, and Oracle, Malaysia is rapidly emerging as a hub for digital innovation. The demand for certified Data and AI professionals has never been higher, making it the perfect time to elevate your career.

Explore the top Data and AI certifications for 2027. Build Malaysia’s AI & Data-Driven future.

Skills Covered

Boost your knowledge in identifying basic concepts of data schemas and dimensions while understanding the difference between common data structures and file formats
Grow your skills to explain data acquisition concepts, reasons for cleansing and profiling datasets, executing data manipulation, and understanding techniques for data manipulation
Gain the ability to apply the appropriate descriptive statistical methods and summarize types of analysis and critical analysis techniques
Learn how to translate business requirements to form the appropriate visualization in the form of a report or dashboard with the proper design components
Increase your ability to summarize important data governance concepts and apply data quality control concepts

Prerequisites

There are no prerequisites required to attend this course.

Target Audience

Data Analyst
Reporting Analyst
Marketing Analyst
Clinical Analyst
Operations Analyst
Business Analyst
Business Intelligence Analyst

Data+ is an ideal certification for not only data-specific careers, but other career paths can benefit from analytics processes and data analytics knowledge. Jobs like marketing specialists, financial analysts, human resource analysts or clinical health care analysts can optimize performance and make well-informed decisions when they use and evaluate data correctly.

Course Curriculum

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Module 1: Summarizing Database Concepts
Module 2: Comparing and Contrasting Different Data Systems
Module 3: Recognizing AI’s Impact on Data Project
Module 4: Distinguishing Markup Languages and Data Analytics Tools
Module 5: Using Data Acquisition Methods
Module 6: Applying Quality Control to Data
Module 7: Profiling and Cleansing Data
Module 8: Executing Data Manipulation Techniques
Module 9: Building Queries to Model Data
Module 10: Preparing for Data Analysis
Module 11: Applying Descriptive Statistical Methods
Module 12: Illustrating Different Statistical Methods
Module 13: Summarizing Business Requirements in a Report Format
Module 14: Using the Appropriate Type of Visualization
Module 15: Designing Components for Reports and Dashboards
Module 16: Preparing for the Delivery and Consumption of Reports
Module 17: Summarizing the Importance of Data Governance
Module 18: Explaining Data Management Concepts
Module 19: Troubleshooting Issues and Measuring Performance

Show full curriculum

Exam & Certification

The CompTIA Data+ certification exam will certify the successful candidate has the knowledge and skills required to:

Build a foundation in modern data concepts so you can confidently navigate analytics tools and data sources in any organization.
Transform, clean, and organize raw data to make it reliable and useful for analysis.
Apply statistical methods to extract trends, uncover insights, and support business decisions.
Use data visualizations and dashboards to translate complex results into presentations anyone can understand.
Maintain data quality, ensure compliance, and protect sensitive information in alignment with industry standards.
Solve data problems, validate reports, and resolve analytics issues as they arise on the job

Training & Certification Guide

CompTIA Data+ Certification Details

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 Version: v2
Number of Questions: 90 questions
Type of Questions: Multiple choice and performance-based
Length of Test: 90 Minutes
Passing Score: 720 (on scale of 100–900)

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

Differentiate yourself with Data+

Better Analyze and Interpret Data
Mine data more effectively. Analyze with rigor. Avoid confounding results.

Communicate Insights
Highlight what’s important. Produce reports that persuade, not confuse. Help the team make better data-driven decisions.

Demonstrate Competency
Make yourself a more valuable team member. Proof of data literacy means you’re more employable and more upwardly mobile.

The CompTIA Continuing Education program

Your CompTIA Data+ certification is good for three years from the date of your exam. The CE program allows you to extend your certification in three-year intervals through activities and training that relate to the content of your certification.

It's easy to renew

You can participate in a number of activities and training programs to renew your CompTIA Data+ certification. Collect at least 20 Continuing Education Units (CEUs) in three years and upload them to your certification account, and your CompTIA Data+ certification will automatically renew.

Recommended courses upon completion

CT-DataSys+: CompTIA DataSys+

CompTIA DataSys+ is a foundational level data management certification that focuses on the logistics of data administration and security. It covers what database administrators (DBAs) need to deploy, manage and maintain systems, including employing the fundamentals of scripting and programming in a database environment while using security and business continuity best practices.

CT-CLOUD+: CompTIA Cloud+ Certification

The CompTIA Cloud+ certification is a highly sought-after credential that is recognized worldwide for validating the technical skills needed to deploy and automate secure cloud environments. This certification is designed to equip professionals with the expertise needed to support the high availability of business systems and data in the cloud.

CT-NETWORK+: CompTIA Network+ Certification

As one of the top IT certifications for beginners, the CompTIA Network+ credential is the essential certification for networking professionals. It covers the hands-on skills and precise knowledge needed in today’s networking environments. With this certification, you will be able to support networks on any platform.

CT-SECURITY+: CompTIA Security+ (Plus) Certification

The CompTIA Security+ credential is a global cybersecurity certification that validates the baseline skills necessary to perform core security functions and pursue an IT security career. It is the first security certification a candidate should earn. It establishes the core knowledge required of any cybersecurity role and provides a springboard to intermediate-level cybersecurity jobs.

Frequently Asked Questions

What is a Data Specialist?

Data Specialists are tasked with overseeing the development of new databases, monitoring database performance and interpreting raw data and turning it into usable feedback and applications. A Data Specialist knows what all the numbers and patterns mean and can communicate the findings in layman’s terms.

In addition to drawing meaning from raw data, these individuals are also charged with collecting and cleaning up the data ensuring that the information is accurate and without error. Some Database Administrators specialize in specific systems or applications.

Making sure confidential information is secure and available to those who need it is a top priority of Data Specialists.

Why Are Data and Analytics Skills Important?

Data-related jobs are projected to be among the fastest-growing occupations through the balance of this decade, with some positions, such as data scientists, expected to grow up to five times faster than other occupations.

But the need for core data skills extends beyond data-specific job roles. Employers listed over 1 million job postings over the past 12 months seeking candidates with skills in data analysis, data mining or data visualization.

CompTIA Data+ can help you develop and refine these skills and prove you have the hands-on experience employers are looking for.

What Is the Role of Data Analytics?

Data analytics helps people make sense of raw data. Companies use data to improve their internal operations and to better understand their customers. Typically, this is done in three stages.

The three stages of data use include:

Collect and store: Customer transactions, social media streams, M2M sensors and business activity
Process and organize: Calculate, transform, process, protect and augment
Analyze and visualize: Dashboards, reports, predictive analytics and ad-hoc queries

Let’s take a look at how each stage works and how each one feeds into the larger umbrella we call data analytics.

Data Infrastructure

The individuals responsible for building a data infrastructure are the people designing, building and maintaining the technology needed to collect and store data. This is the first stage and requires the skills of storage engineers, business intelligence (BI) developers, data warehouse analysts, network administrators, server administrators and data architects.

Data Management and Processing

Once the data is collected and securely stored, companies need qualified IT pros to design and maintain how the flow of data is then processed and organized within the organization. Database administrators, systems analysts, developers, and data architects and engineers are some of the job titles that fit the bill.

Data Interpretation and Visualization

The final stage of data use is interpretating it for actionable insights and decision making. This advanced stage requires advanced analytics. For example, data scientists use sophisticated data modeling techniques to build new datasets. Roles like business analyst and data analyst also work in this stage.

One part of the data use process doesn’t exist without the other. When these stages come together, a comprehensive data analytics program benefits the entire organization, from marketing campaigns and sales goals to research, development and finance.

Why Is Data Analytics Important?

Simply put, organizations have been collecting data for quite some time. But poor data management or insufficient data analysis is impacting the bottom line. Most companies have data silos in every department, limiting the ability to build a holistic view of corporate data. Moreover, new data sources – like social media and smart devices – necessitate a more efficient structure and analytics process.

Data is a critical resource that needs to be handled properly. A solid understanding of the data function, techniques and tools provides the context for building a comprehensive big data analytics strategy.

What’s on the New CompTIA Data+ Exam?

CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making. That means that you can make yourself more employable by learning how to better analyze and interpret data, communicate insights and demonstrate competency. CompTIA Data+ validates certified professionals have the skills required to facilitate data-driven business decisions, including:

Mining data
Manipulating data
Visualizing and reporting data
Applying basic statistical methods
Analyzing complex datasets while adhering to governance and quality standards throughout the entire data life cycle

What Types of Questions are on the CompTIA Data+ Exam?

You can expect performance-based and multiple-choice questions across five domains:

Data Concepts and Environments (15%)
Data Mining (25%)
Data Analysis (23%)
Visualization (23%)
Data Governance, Quality and Controls (14%)

These domains relate back to job roles that are tasked with developing and promoting data-driven business decision-making.

For example, your organization collects all sorts of data, but is it easy to parse through that data, analyze the data and make sense of it? This is where data visualization comes into play. Telling the story of your data and getting stakeholders to understand is a valuable skill that employers want.

What Job Roles are Aligned to CompTIA Data+?

As the importance of data analytics grows, more job roles are required to set context and better communicate vital business intelligence. Collecting, analyzing and reporting on data can drive priorities and lead business decision-making. The following data and analytics primary job roles align with CompTIA Data+:

Data analyst
Clinical analyst
Reporting analyst
Marketing analyst
Business data analyst
Operations analyst
Business intelligence analyst

CompTIA Data+ is an ideal certification for not only data-specific careers, but also other career paths that benefit from analytics processes and data analytics knowledge. Jobs like marketing specialists, financial analysts, human resource analysts or clinical health care analysts can optimize performance and make well-informed decisions when they use and evaluate data correctly.

Why Would I Choose CompTIA Data+ Over Other Data Analytics Certifications?

CompTIA Data+ is the only data analyst certification that covers baseline data analytics skills, assesses hands-on abilities and is vendor neutral and tool agnostic.

Vendor-neutral certifications provide analyst skills needed to perform various job roles regardless of the specific programs and tools being used. Compare this to vendor-specific certifications, which equip you to work with just one platform (such as SAS, Tableau or Microsoft). There are also certifications that dive deeper, such as big data and business analytics that can be pursued after receiving CompTIA Data+.

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Overview

Skills Covered

Prerequisites

Target Audience

Course Curriculum

Dates & Locations

Let’s make it work for you

January 11, 2027 - January 15, 2027

January 11, 2027 - January 15, 2027

February 15, 2027 - February 19, 2027

February 15, 2027 - February 19, 2027

March 1, 2027 - March 5, 2027

March 1, 2027 - March 5, 2027

March 1, 2027 - March 5, 2027

April 19, 2027 - April 23, 2027

April 19, 2027 - April 23, 2027

May 3, 2027 - May 7, 2027

May 3, 2027 - May 7, 2027

June 21, 2027 - June 25, 2027

June 21, 2027 - June 25, 2027

July 26, 2027 - July 30, 2027

July 26, 2027 - July 30, 2027

August 23, 2027 - August 27, 2027

August 23, 2027 - August 27, 2027

August 23, 2027 - August 27, 2027

September 27, 2027 - October 1, 2027

September 27, 2027 - October 1, 2027

October 4, 2027 - October 8, 2027

October 4, 2027 - October 8, 2027

November 22, 2027 - November 26, 2027

November 22, 2027 - November 26, 2027

December 27, 2027 - December 31, 2027

December 27, 2027 - December 31, 2027

December 27, 2027 - December 31, 2027

Exam & Certification

Training & Certification Guide

Frequently Asked Questions

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