By Quick answer: Google Data Analytics or IBM Data Science: which should I choose in 2027?
- Choose Google Data Analytics — you want analyst roles and are new to data.
- Choose IBM Data Science — you want Python and a path toward data science.
- Verdict — Google for analysts; IBM for aspiring data scientists.
- Before you pay — take a free practice test.
Key takeaways
- Choose Google Data Analytics if you want analyst roles and are new to data.
- Choose IBM Data Science if you want Python and a path toward data science.
- Check job posts in your target market before deciding.
Google Data Analytics and IBM Data Science are often compared, but they suit different people. Here's a side-by-side comparison and a clear way to choose.
The options at a glance
Ranked for this reader. Costs and formats come from each issuer's own page, checked on 3 November 2026; prices change, so confirm before you book.
| # | Certification | Cost | Time | Prove it free |
|---|---|---|---|---|
| 1 | Google Data Analytics Professional CertificateGoogle / Coursera | $49/mo Coursera plan1 | 6 months at 10 hours a week | Free test |
| 2 | IBM Data Science Professional CertificateIBM / Coursera | Coursera plan2 | 4 months at 10 hours a week | Free test |
| 3 | Google Advanced Data Analytics Professional CertificateGoogle / Coursera | $49/mo Coursera plan3 | 6 months at 10 hours a week | Free test |
| 4 | Microsoft Power BI Data Analyst (PL-300)Microsoft | Exam priced by country4 | 100 minutes; renew free every 12 months | Free test |
Prove it free before you pay for an exam
Take the free test first. Pay for an exam only when you pass.
Every pick above has a matching free practice test on Science of Apps, one of the world's largest libraries of free certification tests (1,200+). Check your level before you pay for an exam, or add a verifiable credential to LinkedIn while you study. (Disclosure: we publish these tests; the certifications above earn us nothing.)
- Statistics for Data Analysts CertificationPractise for Google Data Analytics Professional Certificate before you pay.Start free test →
- Data Science Certification TestPractise for IBM Data Science Professional Certificate before you pay.Start free test →
- Python for Data Analysis CertificationPractise for Google Advanced Data Analytics Professional Certificate before you pay.Start free test →
- PL-300 Practice TestPractise for Microsoft Power BI Data Analyst (PL-300) before you pay.Start free test →
Each option, and who should choose it
- CourseraGoogle Data Analytics Professional CertificateAnalyst roles$49/mo Coursera plan
- CourseraIBM Data Science Professional CertificateData science pathCoursera plan
- CourseraGoogle Advanced Data Analytics Professional CertificateMiddle ground$49/mo Coursera plan
Google Data Analytics Professional Certificate
- Cost
- $49/mo Coursera plan1
- Time
- 6 months at 10 hours a week
Spreadsheets, SQL, Tableau and R; about six months. Google's professional certificate teaches spreadsheets, SQL, Tableau and R through case studies and ends with a portfolio capstone. It's designed for beginners, takes about six months at ten hours a week and offers financial aid on Coursera.
Best foranalyst roles
IBM Data Science Professional Certificate
- Cost
- Coursera plan2
- Time
- 4 months at 10 hours a week
Python, SQL and ML; about four months. IBM's professional certificate covers Python, SQL, data visualisation and machine learning basics with hands-on labs and a capstone. It takes about four months at ten hours a week, and financial aid is available on Coursera.
Best fordata science path
Google Advanced Data Analytics Professional Certificate
- Cost
- $49/mo Coursera plan3
- Time
- 6 months at 10 hours a week
Statistics and Python after Google DA. Google's advanced certificate takes analysts into statistics, regression, machine learning and Python. It takes about six months at ten hours a week and is the natural next step after Google Data Analytics.
Best formiddle ground
Microsoft Power BI Data Analyst (PL-300)
- Cost
- Exam priced by country4
- Format
- 100 minutes; renew free every 12 months
Proctored Power BI exam. Microsoft's Power BI Data Analyst exam proves you can prepare, model and visualise data and share reports securely. It's 100 minutes, priced by country, with free Microsoft Learn training and free online renewal every 12 months.
Best forproctored add-on
Google Data Analytics vs IBM Data Science side by side
| Google Data Analytics | IBM Data Science | |
|---|---|---|
| Focus | Analyst toolkit | Data science basics |
| Language | R and SQL | Python and SQL |
| Time | About 6 months | About 4 months |
| Best for | Analyst roles | Data science path |
Table: Google Data Analytics vs IBM Data Science
How to choose
- Choose Google Data Analytics — you want analyst roles and are new to data.
- Choose IBM Data Science — you want Python and a path toward data science.
- Still unsure — search job posts in your city for each name.
How we ranked these picks
We compared both options on cost, format, prerequisites and fit using official pages, checked 3 November 2026. Science of Apps has no commercial relationship with either issuer.
Frequently asked questions
Which is easier?
Google Data Analytics is gentler for beginners.
Which uses Python?
IBM Data Science.
Can I do both?
Yes; Google first, then IBM or Google Advanced.
Which do employers prefer?
Both are known; projects matter more.
Is there a free practice test for both?
Yes. Science of Apps offers free practice tests for both, instantly graded with a verifiable certificate.
Sources
- Google — Google Data Analytics Professional Certificate, official page (checked 3 Nov 2026)
- IBM — IBM Data Science Professional Certificate, official page (checked 3 Nov 2026)
- Google — Google Advanced Data Analytics Professional Certificate, official page (checked 3 Nov 2026)
- Microsoft — Microsoft Power BI Data Analyst (PL-300), official page (checked 3 Nov 2026)
- Checked November 4, 2026. Figures that change — fees, salaries, prices — are reviewed every six months; if something is out of date, tell us.
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