- What the ITS-DA Credential Actually Is
- Exam Format, Timing, and Question Style
- The Five Objective Domains in Detail
- Tools and Languages You Need to Recognize
- Fees, Vouchers, and Registration Mechanics
- Scoring, Readiness, and Five-Year Validity
- Sequencing Your Preparation by Domain
- Who Benefits From This Credential
- Frequently Asked Questions
- ITS-DA is the Pearson IT Specialist - Data Analytics exam, delivered through Certiport, with five official objective domains.
- Expect roughly 35-45 questions in a 50-minute maximum; the count varies by form.
- A passing score is 700 on a 1-1000 scaled range, not a raw 70 percent.
- Awards earned on or after 2025-06-18 stay valid for five years; renewal means passing the current exam again.
What the ITS-DA Credential Actually Is
The ITS-DA certification is the IT Specialist - Data Analytics credential from Pearson, administered through Certiport, a Pearson VUE business. It is a knowledge assessment aimed at people who are early in their data careers or are moving into analytics from another field. It validates that you understand how data is structured, cleaned, analyzed, visualized, and handled responsibly, and that you can recognize the right tool or technique for a given situation.
It is worth being precise about naming, because the acronym is used loosely elsewhere online. On this site, ITS-DA refers only to the Pearson IT Specialist exam on data analytics. If you are still orienting yourself, the explainer What Is ITS-DA Certification? covers the basics, and What Does ITS-DA Stand For? clears up the naming.
The exam sits inside the IT Specialist family, which includes other subject exams. Data Analytics is its own exam and is not the same as the Databases exam. Candidates sometimes assume that passing one covers the other. It does not, and the objective lists overlap only partially, even though both touch SQL.
Exam Format, Timing, and Question Style
The ITS-DA is a computer-based, proctored assessment. You can take it at a Pearson VUE test center, through OnVUE online proctoring, or through the separate Certiport Authorized Testing Center (CATC) channel. Each route has its own rules, covered in the fee section below.
Question count and time
Pearson MindhubPro estimates 35 to 45 questions with a 50-minute maximum. Treat that as a range rather than a fixed form length; different candidates can see different counts. The 50 minutes is timed exam time and excludes administrative steps and the on-screen tutorial. An older generic IT Specialist tutorial document mentions a slightly different estimate, but the exam-specific listing is the better guide for planning.
What the questions feel like
This is a knowledge exam, not a lab where you build a pipeline from scratch. Expect questions that ask you to interpret a short snippet, identify the correct function or approach, choose an appropriate chart, or judge whether an analysis is sound. Because the objectives span SQL, R, Python, and Excel/Power Query, the exam rewards breadth: you should be able to read a few lines in each environment and know what they do, without necessarily being a deep specialist in any single one.
The Five Objective Domains in Detail
Pearson publishes five objective domains. Importantly, these are official exam objectives, not a prescribed preparation curriculum, and Pearson does not publish percentage weights for them. Do not trust any source that claims exact domain percentages. For a fuller walkthrough, see our complete guide to the five content areas.
Domain 1: Data Basics
The foundation: what data is, how it is typed and structured, and the vocabulary every later domain assumes.
- Data types, including how date/time values and tuples behave
- Structured versus unstructured data and common storage formats
- The basic roles AI and machine learning play in analysis, at a conceptual level only
- Core terminology used when describing datasets and analytic tasks
Domain 2: Data Manipulation
Getting data into usable shape. This is where the tool-specific content concentrates.
- Querying and shaping data with SQL
- Working with data in R and Python
- Cleaning and transforming data in Excel and Power Query
- Handling missing values, duplicates, and inconsistent formats
Domain 3: Data Analysis
Applying techniques to find structure and meaning.
- Descriptive statistics and interpreting summary measures
- Principal component analysis, cluster analysis, and association analysis
- Choosing a technique that fits the question and the data
- Reading results without over-claiming what they show
Domain 4: Data Visualization and Communication
Turning analysis into something an audience can act on.
- Selecting chart types, including Sankey diagrams and box plots
- Recognizing misleading charts, such as distorted axes or cherry-picked ranges
- Presenting findings clearly to non-technical stakeholders
Domain 5: Responsible Analytics Practices
The ethics and limits of analysis, which many candidates under-prepare for.
- Privacy considerations when handling personal data
- Why small samples can undermine anonymity
- Identifying sources of bias in data and methods
- Recognizing the limits on generalizing from a given dataset
Key Takeaway
Do not skip Domain 5 because it looks "soft." It is a full objective domain, and questions about small-sample anonymity, bias, and generalization limits reward careful reading rather than memorization.
Tools and Languages You Need to Recognize
Current exam coverage reaches across several environments. The scope includes date/time handling, tuples, SQL, R, Python, Excel with Power Query, and the analytic methods of principal component, cluster, and association analysis. These match the additions Pearson described in its May 14, 2025 announcement about IT Specialist exam updates. That announcement still uses future-tense wording about fall, so no exact release date or exam version number should be assumed from it.
| Area | What to be ready for | Depth expected |
|---|---|---|
| SQL | Reading and choosing queries to filter, join, and aggregate | Recognition and interpretation |
| Python | Basic structures such as tuples, plus date/time handling | Read short snippets, know what they return |
| R | Data frame style operations and basic analysis functions | Recognition and interpretation |
| Excel / Power Query | Cleaning and transforming tabular data | Know which step solves which problem |
| Analytic methods | PCA, clustering, association analysis | Conceptual: purpose, inputs, interpretation |
Fees, Vouchers, and Registration Mechanics
Pricing depends on the purchase channel, and the details matter because vouchers are not interchangeable. For a broader view of total spend, see our pricing breakdown.
| Option | Listed price | Key conditions |
|---|---|---|
| Pearson MindhubPro exam voucher | USD 127 (web/member pricing) | Country-restricted, unavailable in some listed markets, expires 12 months after purchase |
| Certiport store CATC voucher with retake | USD 133 | US-only; proctoring may cost extra; not usable at Pearson VUE centers or through OnVUE |
Two details that trip people up
- Voucher expiry is not credential validity. The voucher must be used within 12 months of purchase. That clock has nothing to do with how long your certification lasts once earned.
- Channel mismatch. The CATC voucher only works in the CATC channel. If you buy it and then try to book at a Pearson VUE center or via OnVUE, it will not work. Decide where you will test before you buy.
Delivery-specific rules
For OnVUE, you must complete a system check and test under a live webcam proctor. For CATC testing, expect photo-and-signature ID, a non-disclosure agreement, parental consent if you are under 18, and a ban on personal paper or communication devices in the room. Read the testing-channel rules before exam day rather than during check-in. Scheduling specifics are in our exam dates guide.
Scoring, Readiness, and Five-Year Validity
The 700 threshold
A passing result is 700 on a 1-1000 scale. This is a scaled score, which means it is not the same as answering 70 percent of questions correctly. Because the exam draws from a variable question range and different forms, scaling is how results are made comparable. Our passing score article goes deeper on interpretation. Certiport does not publish pass rates, so any specific pass-rate figure you see should be treated skeptically; our pass rate analysis explains what can and cannot be said.
Preparation expectations
There is no degree requirement beyond knowledge of the objective domains. The program suggests roughly 150 hours of preparation, and objective profiles describe at least 150 hours of learning. Treat that as a readiness profile, not a verified requirement that you log and submit hours. The full picture is in the requirements guide.
How long the credential lasts
Awards earned on or after 2025-06-18 are valid for five years. Earlier awards remain nonexpiring. To recertify, you buy a new voucher and pass the current exam. Plan for that if you intend to keep the credential on your resume long term.
Sequencing Your Preparation by Domain
Generic study habits matter less than ordering the five domains sensibly. A plan built around the roughly 150-hour readiness profile might look like this. The logic is that each domain feeds the next, and the tool-heavy material benefits from early repetition. For a broader plan, see the full study guide.
Data Basics first
- Lock in data types, date/time behavior, and tuples
- Learn the vocabulary, since every later question assumes it
Data Manipulation, the heaviest lift
- Practice SQL reading and writing daily
- Rotate through R, Python, and Excel/Power Query so none goes stale
Data Analysis
- Understand what PCA, clustering, and association analysis are for
- Practice matching a question to the right technique
Visualization and Responsible Analytics
- Review Sankey diagrams, box plots, and misleading-chart patterns
- Work through privacy, small-sample anonymity, bias, and generalization limits
Finish with timed practice that mimics the 50-minute ceiling, and use the one-page cheat sheet for last-day review. Realistic timed sets are available on the ITS-DA practice test site.
Who Benefits From This Credential
ITS-DA suits students, career changers, and early-career professionals who want verifiable evidence of foundational analytics knowledge. It is most useful for entry-level and adjacent roles where employers want to see that you understand the data workflow, from cleaning through communication, and the ethical limits that come with it. Hiring managers will generally weigh it alongside practical projects and coursework rather than as a standalone qualification.
Whether it pays off depends on your starting point and goals. For a grounded view, read our ROI analysis, and for the role side, see ITS-DA jobs and the salary guide. Because Pearson publishes no earnings data tied to this credential, treat any precise salary claim with caution.
Frequently Asked Questions
No. Data Analytics is a separate exam from Databases. Both involve SQL, but the Data Analytics objectives also cover R, Python, Excel/Power Query, statistical and analytic methods, visualization, and responsible analytics practices.
Pearson MindhubPro estimates 35 to 45 questions with a 50-minute maximum. The count is a range rather than a fixed number, and the timer covers exam time only, not administrative steps or the tutorial.
A scaled score of 700 on a 1-1000 scale. It is not a raw 70 percent requirement. Certiport does not publish pass rates, so there is no official figure for how many candidates pass.
No. The outline covers the basic roles of AI and machine learning in analysis but explicitly excludes specific machine-learning algorithms. Focus on SQL, data manipulation, analytic methods like PCA and clustering, visualization, and responsible practices.
Awards earned on or after 2025-06-18 are valid for five years, and earlier awards remain nonexpiring. Recertifying requires a new voucher and passing the current exam. Voucher expiry, 12 months after purchase on the MindhubPro voucher, is a separate matter.