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Google Data Analytics Professional Certificate

Catalog facts

Platform: coursera

Instructor: Google Career Certificates

Pricing model: Coursera subscription — $49/month in the US after a 7-day trial; Coursera estimates under $300 total at a ~6-month pace

Topics: data, analytics

Rating: 4.8 from 179,962 reviews

Enrollment: 3,719,751 already enrolled

Where these numbers come from

Rating (4.8 from 179,962 course reviews), enrollment (3,719,751), and US pricing ($49/month after 7-day trial) read from the Coursera program page in July 2026.

Our rule: a rating or count appears here only when we read it on the provider's page and dated the reading. Blank means unverified, not zero. See the methodology.

Who this fits

The default on-ramp into analytics for career changers with no technical background. It runs spreadsheets through SQL and R, with a certificate hiring filters recognize. The subscription clock is the real cost driver. Finishing in three months halves the price of finishing in six.

Before enrolling anywhere, check the syllabus against the job or project you actually want. Course marketing describes outcomes; syllabi describe contents. The gap between the two is where refund requests come from. Current price and start dates live on the provider page below.

Skip it if

Skip it if you already work with SQL or spreadsheets daily. The early months will feel remedial, and the IBM certificate starts closer to where you are. Skip it as a pure credential play, too. Employers read it as an entry signal next to a portfolio, not as a qualification that stands alone.

The free path, compared

The subscription structure is the real price lever. At $49/month in the US, finishing in three months costs half of finishing in six. Before subscribing, spend a free week with SQL and spreadsheet tutorials to confirm you enjoy the work. The certificate teaches the same material more slowly. Disliking week two for free beats disliking month three on subscription.

Three questions before you enroll

  1. Can I commit a fixed weekly schedule so the subscription math works in my favor?
  2. Do I want spreadsheet-first analytics, or am I actually drawn to the programming side (IBM's track)?
  3. What public dataset will my portfolio project use? Decide before the course ends, not after.

The general version of this checklist is in the how-to-choose guide: subscription math, reading ratings properly, refund windows. The free-certificate landscape has its own guide.

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