- What the ITS-DA Credential Actually Is
- Who Issues It and How It Is Delivered
- The Five Exam Objective Areas
- Exam Format, Timing and Scoring
- Fees, Vouchers and Registration Mechanics
- Readiness: Who Should Sit This Exam
- Validity and Recertification
- Where the Credential Fits in a Career
- Sequencing Your Preparation by Domain
- Frequently Asked Questions
- ITS-DA here means Information Technology Specialist - Data Analytics, a Pearson credential delivered through Certiport.
- The exam objectives are organized into five domains, from Data Basics to Responsible Analytics Practices.
- Expect roughly 35-45 questions in a 50-minute timed limit; a passing score is 700 on a 1-1000 scale.
- Pearson MindhubPro lists the exam-only voucher at USD 127, and it expires 12 months after purchase.
What the ITS-DA Credential Actually Is
If you have searched for "what is a ITS-DA," the answer on this site is specific: ITS-DA stands for Information Technology Specialist - Data Analytics, publicly branded as IT Specialist - Data Analytics. It is a computer-based, proctored knowledge assessment that validates foundational skills in working with data: understanding data types, manipulating and querying it, performing statistical analysis, presenting findings visually, and applying analytics responsibly.
Because several other credentials in the wider technology world share the same acronym, it is worth being precise. Everything in this article refers only to the Pearson-issued IT Specialist exam on data analytics. For a short definition-style overview, see our companion pages What Is ITS-DA? and What Does ITS-DA Stand For?.
Who Issues It and How It Is Delivered
The credential is issued by Pearson and administered by Certiport, a Pearson VUE business. Pearson's catalogue identifier for the exam is INF-202. The official scope source is Pearson's "IT Specialist Exam Objectives - Data Analytics" document (copyright 2025), a two-page outline linked from the current issuer resource page.
There are two delivery routes:
- Pearson VUE channels: test centers or OnVUE online proctoring. OnVUE requires a system check and a live webcam proctor.
- Certiport Authorized Testing Centers (CATC): a separate channel, often used in schools and training programs. CATC sessions typically involve photo and signature ID, a non-disclosure agreement, parental consent for candidates under 18, and no personal paper or communication devices at the testing station.
The two routes are not interchangeable when it comes to vouchers, which matters for budgeting (covered below). For the full eligibility picture, read ITS-DA Requirements 2026.
The Five Exam Objective Areas
The official outline lists five domains. Importantly, these headings are exam objectives, not a preparation curriculum, and Pearson does not publish percentage weights for them or a numbered exam revision. That means you should not trust any site claiming exact domain percentages. A deeper breakdown lives in our ITS-DA exam domains guide; here is the practical overview.
Domain 1: Data Basics
The foundation: what data is, how it is typed and structured, and how it behaves in analysis workflows.
- Data types and structures, including date/time values and tuples
- Recognizing the basic roles AI and machine learning play in analysis (the outline explicitly excludes specific machine-learning algorithms)
- Understanding where data comes from and what shape it takes before analysis begins
Domain 2: Data Manipulation
Getting raw data into a usable state using the tools the objectives name.
- SQL for retrieving and shaping data
- R and Python for scripting data transformations
- Excel and Power Query for cleaning, merging and reshaping
Domain 3: Data Analysis
Turning prepared data into findings using statistical and exploratory methods.
- Descriptive and inferential reasoning on prepared datasets
- Principal component analysis, cluster analysis and association analysis
- Interpreting outputs rather than simply producing them
Domain 4: Data Visualization and Communication
Choosing the right chart and presenting findings honestly.
- Chart types including Sankey diagrams and box plots
- Spotting misleading charts and distorted scales
- Communicating results to a non-technical audience
Domain 5: Responsible Analytics Practices
The ethics and limits of analysis, which is a distinctive part of this exam.
- Privacy considerations when handling data
- Anonymity risks in small samples
- Bias in data and models, and the limits on generalizing from a sample
Exam Format, Timing and Scoring
Pearson's MindhubPro listing estimates 35-45 questions with a 50-minute maximum. Treat that as a variable range, not a fixed form count: you might see 36 questions or 44, so pace yourself against the clock rather than against a question total. The 50 minutes is timed exam time and excludes administration and tutorial screens.
The IT Specialist exam tutorial (copyright 2021) describes how candidates navigate answer options in the exam interface. Its generic question-count estimate is older than the exam-specific listing, so use the 35-45 figure for this exam. Reviewing the tutorial before test day is a low-effort way to avoid interface surprises.
| Element | What the Sources Say |
|---|---|
| Question count | Estimated 35-45 (variable range) |
| Time limit | 50 minutes maximum, timed exam only |
| Passing score | 700 on a 1-1000 scaled score |
| Delivery | Computer-based, proctored (test center, OnVUE, or CATC) |
| Published pass rate | None; Certiport does not publish pass rates |
The 700 figure is a scaled score, not a raw 70% requirement, so you cannot convert it directly into a number of questions you may miss. Our ITS-DA passing score explainer covers this in detail, and our pass rate article explains why no honest pass-rate figure exists.
Fees, Vouchers and Registration Mechanics
Two price points appear in the issuer-linked sources:
- Exam-only voucher: Pearson MindhubPro displays USD 127 for web/member pricing.
- CATC voucher with retake: USD 133, US-only. Proctoring may cost extra, and this voucher cannot be used at Pearson VUE centers or through OnVUE.
Several mechanics are easy to overlook:
- The MindhubPro voucher is country-restricted and unavailable in some listed markets, so confirm availability for your country before buying.
- The voucher expires 12 months after purchase. That expiry is separate from how long the credential itself stays valid.
- Match your voucher to your delivery channel. A CATC voucher will not work through OnVUE, and vice versa.
Key Takeaway
Decide where you will test before you buy. Channel mismatch is the most avoidable registration mistake: a voucher bought for one route cannot be redirected to the other. For the complete cost picture, see ITS-DA Certification Cost 2026, and for scheduling logistics see ITS-DA Exam Dates 2026.
Readiness: Who Should Sit This Exam
There is no degree requirement beyond knowledge of the objective domains. The program suggests approximately 150 hours of preparation, and the objective profiles describe candidates with at least 150 hours of experience or study. These are readiness profiles, not a verified requirement that you log hours or submit an application proving them.
In practice, the exam suits:
- Students in secondary or post-secondary programs that use the Certiport ecosystem
- Career changers moving toward analyst-style roles who need a structured, verifiable foundation
- Working professionals in operations, marketing or finance who handle data in spreadsheets and want to formalize their skills
Because the tool coverage is broad (SQL, R, Python and Excel/Power Query), difficulty depends heavily on your background. A spreadsheet-confident candidate often has to build scripting fluency, while a programmer may need work on visualization judgment and responsible-analytics concepts. Our difficulty guide explores this in more depth.
Validity and Recertification
Credential validity depends on when the award was earned:
| Award Date | Validity |
|---|---|
| On or after 2025-06-18 | Five years |
| Before 2025-06-18 | Earlier awards remain nonexpiring |
Recertification is not a continuing-education process. It requires purchasing a new voucher and passing the current exam, which may include objectives that did not exist when you first tested. Keep that in mind if you plan to display the credential long term.
Where the Credential Fits in a Career
ITS-DA is a foundational, knowledge-based credential. It signals that you understand the vocabulary and core techniques of data work; it does not replace a portfolio, hands-on projects or domain experience. It tends to be most useful for entry-level and transition roles such as junior data analyst, reporting analyst, business intelligence assistant, or data-aware positions in operations and marketing. Employers who value it are typically those wanting evidence of baseline competence in SQL, spreadsheets and basic scripting alongside awareness of ethical data handling.
We deliberately avoid quoting salary numbers here because no verified figures are tied to this credential alone. If you are weighing the investment, our salary guide, jobs overview and ROI analysis discuss the decision qualitatively.
Sequencing Your Preparation by Domain
You do not need a generic study system; you need an order that respects how the domains depend on each other. A sensible arc across roughly a 150-hour readiness profile looks like this:
Data Basics first
- Lock down data types, date/time handling and tuples, since later domains assume them
- Learn what the outline says about AI/ML roles, and skip algorithm deep-dives it excludes
Data Manipulation, the heaviest practice load
- Alternate SQL queries, Python or R transformations, and Excel/Power Query cleaning on the same dataset
- Practice reading code and predicting output, since you answer questions rather than build projects
Data Analysis
- Understand what principal component, cluster and association analysis are for, and how to interpret their results
Visualization and Responsible Analytics
- Match chart types (Sankey, box plot) to questions and learn to critique misleading charts
- Cover privacy, small-sample anonymity, bias and generalization limits
Finish with timed practice sets that mimic the 50-minute limit. Our complete study guide and one-page cheat sheet support this phase, and you can drill questions on the ITS-DA Exam Prep practice test site.
Frequently Asked Questions
It stands for Information Technology Specialist - Data Analytics, the Pearson credential administered by Certiport. It is unrelated to any other certification that happens to share the acronym.
Pearson's listing estimates 35-45 questions with a 50-minute maximum. The count varies, so manage your time against the clock rather than a fixed total.
A scaled score of 700 on a 1-1000 scale. It is not a simple 70% of raw questions, and Certiport does not publish pass rates.
Awards earned on or after 2025-06-18 are valid for five years. Earlier awards remain nonexpiring. Recertifying means buying a new voucher and passing the current exam.
No. The outline covers the basic role of AI and ML in analysis but explicitly excludes specific machine-learning algorithms. Focus instead on SQL, R, Python, Excel/Power Query, and techniques like principal component, cluster and association analysis.
For a broader orientation, see our ITS-DA certification overview and training resources, then test yourself on the main practice site.