Best Data Certifications for Beginners

3. Salesforce Certified Tableau Desktop Foundations — the cheapest exam win

If "easiest data certification to get" is the phrase you searched, this is the honest answer among proctored options. The entry-level Tableau credential — renamed from "Tableau Desktop Specialist" when Salesforce moved Tableau exams onto Trailhead Academy in July 2025, so both names refer to the same credential — is a 60-minute, 45-question multiple-choice exam with no hands-on labs at this level, a scaled passing score of 750, and domains weighted towards exploring and analysing data (35%), connecting and preparing data (25%), sharing insights (25%) and Tableau concepts (15%). Secondary 2026 guides report the fee dropped to $75 with one free retake in the migration — confirm on Trailhead Academy, as this is not verified on an official page — which would make it by far the lowest-risk first exam here. Historic guidance suggests around three months of hands-on Tableau practice beforehand, and Tableau's free public tools make that practice affordable.

A first exam pass does more than decorate a CV: it teaches you how proctored exams feel — the booking, the clock, the scaled scoring — at minimal cost, which lowers the anxiety tax on every later exam. Which Tableau credential a newcomer should take, and why this one beats jumping straight to the analyst tier, is the specific subject of Best Tableau Certification for Beginners.

Choose it if: Tableau features in your target job market, or you want a confidence-building first exam cheaply. Skip it if: your market is Power BI-dominated — a Tableau foundations badge will not move those adverts.

4. Microsoft PL-300 — the ambitious first certification

PL-300, which earns the Microsoft Certified: Power BI Data Analyst Associate credential, is the most demanding option on this page — Microsoft labels it intermediate, and it expects working proficiency with Power Query and DAX across data preparation, modelling, visualisation and Power BI administration. It has no formal prerequisites, though, and a determined beginner who builds Power BI skills first can absolutely make it a first certification; many career changers do exactly that because it is the single strongest analyst-job signal in Microsoft-centric markets.

The logistics are beginner-friendly for an intermediate exam: 100 minutes, bookable at a Pearson VUE test centre or online from home, $165 in the US (varies by country), 700/1,000 to pass, and a retake allowed 24 hours after a first fail. The certification expires after 12 months but renews free through an online Microsoft Learn assessment, so the $165 is effectively a one-off if you keep it current. Microsoft does not publish a question count, so ignore confident claims about exact numbers. If you go this route from zero, do not book a date first: build the skills, then benchmark. The zero-experience preparation path is mapped in the Power BI certification guide for beginners, and when you think you are close, a timed set of PL-300 practice questions will show you which of the four skill areas still needs work — read the results by domain and restudy the weakest one rather than cycling through questions for their own sake.

Choose it if: you have decided on the analyst path in a Microsoft market and will invest real preparation time. Skip it if: you have never opened Power BI — start with the Google certificate or free Microsoft Learn material and return in a few months.

A decision path for your first data credential

Answer these in order; stop at the first "yes."

1. Do you lack basic SQL and spreadsheet skills? → Google Data Analytics Certificate first; pick your exam as you finish.
2. Is your target job market clearly Power BI-based? → Build Power BI skills, then PL-300.
3. Is it clearly Tableau-based? → Tableau Desktop Foundations now; the analyst-tier Tableau exam later.
4. Undecided on tools but ready for an exam? → CompTIA Data+ DA0-002.

And one deliberate non-recommendation: do not take two of these simultaneously. A single completed credential plus a small portfolio project beats two half-studied ones in every interview.

A realistic scenario

Consider a retail supervisor with strong Excel habits but no SQL, aiming for a junior analyst role in a region where adverts split between Power BI and "any BI tool." The path that fits: three to four months on the Google certificate (fast-tracking the spreadsheet modules she already knows, which also trims the subscription cost), a small portfolio project built from her own domain — say, a sales dashboard on public retail data — then PL-300 once her practice scores hold steady, because the local adverts lean Microsoft. Total elapsed time roughly six to nine months; total spend in the low hundreds of dollars. Swap Tableau Desktop Foundations into the exam slot if her adverts leaned Tableau instead. The pattern generalises: learn, build, then certify on whatever her market names most.

Is one credential enough to get hired?

Treat your first credential as necessary momentum, not a sufficient condition. Entry-level data hiring typically turns on three things together: a credential that gets you past screening, a portfolio that survives a recruiter's two-minute look, and enough SQL and tool fluency to handle a practical interview exercise. The credential is the fastest of the three to earn, which is why it comes first here — but budget your calendar across all three. On the earnings question, no provider publishes verified salary figures for these specific beginner credentials, so be sceptical of pages quoting a precise "Data+ salary"; the credible general signal is workforce-wide — US Bureau of Labor Statistics 2024 data (cited in Coursera's 2026 guide) shows certified workers earning a median $1,566 weekly against $1,131 for those without a certification or licence — and pay always varies by location, role and experience.

Mistakes first-time candidates make

• Buying materials for retired exams. DA0-001 study guides, "Tableau Desktop Specialist" courses that predate the 2025 Trailhead migration, and anything covering Microsoft's old 70-series exams are all stale. Check the live exam code and name on the provider's page before spending.
• Booking before benchmarking. Sit a realistic timed practice session first — ExamPractice's free sample questions are a no-cost way to feel the question style — and only pay for an exam slot once your practice scores are consistently comfortable. Practice questions exist to test your understanding of the official objectives; if you find yourself recognising answers rather than reasoning to them, switch materials.
• Confusing the certificate with the job. Entry-level credentials open conversations; portfolios and interviews close them. Budget as much time for one real project (a cleaned dataset, a published dashboard) as for the exam itself.
• Ignoring renewal terms. A beginner who earns PL-300 and misses the free 12-month renewal window loses the credential and must re-sit the exam. Put the renewal date in your calendar the day you pass.

Your first credential, decided

For most complete beginners the sequence that wins is: learn (Google certificate or equivalent free material) → first exam (Data+ if tool-agnostic, Tableau Desktop Foundations if cheap momentum appeals, PL-300 if you are committed to Power BI) → portfolio project → job applications. Every option here is open to you today, with no gatekeeper — the only real cost of choosing "wrong" is a few months and a modest fee, and even then the skills transfer. Pick the door that matches your market, verify the current fee on the official page, and book a date far enough out to prepare properly.