Best Certifications for Data Scientists in 2026 (Python, ML, Statistics)

Two of the most recommended data science exams are already gone. AWS ended its Machine Learning Specialty on March 31, 2026, and Microsoft retired DP-100 on June 1, 2026. Yet plenty of guides still tell you to book them.

That is how learners burn months and real money on the wrong credential. If you are searching for the Best Certifications for Data Scientists across Python, ML, and statistics, one outdated list can send you down the wrong path.

I checked official exam pages and 2026 data to build a shorter, safer list. You will see what to skip, what to take, and the budget-friendly two-certification path for your level. For more pay and career breakdowns, browse our IT salary and career guides.

Do You Need a Certification to Be a Data Scientist?

No, but the best certifications for data scientists can shorten your path, especially if you are switching careers.

The Bureau of Labor Statistics (BLS) reports a median data scientist wage of $120,230 in May 2025. It projects 35 percent job growth from 2025 to 2035, with about 24,800 openings each year. Demand is real, and so is the entry bar. Most data scientists need at least a bachelor’s degree in math, statistics, computer science, or a related field, and some employers prefer a master’s or PhD.

A certification will not replace that degree. It fills a gap. With a quantitative background, it proves you can work with current tools. Without one, it gives you structure, though you will need stronger projects to compensate.

If you have no degree at all, starting as an analyst is often the realistic first step, and our guide on how to become a data analyst without a degree shows the route. For the full roadmap into the role, read how to become a data scientist.

Certifications Retired or Changed in 2026

Read this section before you pay for any data science certification. Several names that still dominate search results are gone.

AWS Certified Machine Learning Specialty

AWS set March 31, 2026 as the last day to take this exam. If you already hold it, the credential stays active until its original expiration date. AWS now points people toward the Machine Learning Engineer Associate, the AI Practitioner, and the new Generative AI Developer Professional certification.

Microsoft Azure Data Scientist Associate (DP-100)

Microsoft retired DP-100 on June 1, 2026. Its replacement is the MLOps Engineer Associate, earned through exam AI-300. The new exam still covers training and evaluation, but it adds CI/CD, drift detection, observability, and generative AI operations. A DP-100 you already earned stays on your transcript until it expires.

TensorFlow Developer Certificate

Google closed this exam in 2024 while it evaluates what comes next. People who passed keep their credential for three years from the pass date.

The pattern is clear to me. Vendors have shifted from asking whether you can build a model to asking whether you can run one in production. That shift shapes every recommendation below.

Best Certifications for Data Scientists in 2026: Quick Comparison

Here are the best certifications for data scientists, side by side. Prices come from official vendor pages and Coursera listings I checked in 2026. They change often, so confirm before you pay.

Certification	Best for	Focus	Cost
IBM Data Science Professional Certificate	Beginners, career changers	Python, SQL, machine learning, capstone	About $49 to $59 a month on Coursera
Google Advanced Data Analytics Certificate	Analysts moving up	Statistics, Python, regression, ML	Coursera subscription, about 6 months
Python Institute PCEP and PCAP	Python fundamentals	Core Python, OOP, modules	$59 and $295
AWS ML Engineer Associate	AWS teams	ML workflows on SageMaker	$150
Google Cloud Professional ML Engineer	Experienced practitioners	ML pipelines, MLOps on Google Cloud	$200
Databricks ML Associate	Spark and Databricks users	AutoML, MLflow, Spark ML	$200
SAS Statistical Business Analyst	SAS-based employers	ANOVA, regression, model performance	$180
INFORMS CAP-Essentials	Analytics fundamentals	Analytics practice	$195 members, $275 nonmembers

Best Python Certifications for Data Scientists

Python has the fewest data science certifications that match daily work. The Python Institute offers PCEP at $59 and PCAP at $295. PCEP covers loops, functions, and data collections in 30 questions. PCAP adds object-oriented programming, modules, and exceptions across 40 questions in 65 minutes.

Neither exam tests pandas, NumPy, or scikit-learn, which is what you will type all day. I treat them as proof of fundamentals, mainly useful if you are coming from a non-coding background.

For applied Python, pick a program that makes you work in notebooks with real data. The IBM Data Science Professional Certificate covers Python, SQL, data visualization, machine learning, and a capstone. Coursera estimates about 11 months at a relaxed pace, though other guides report three to six months for people who study more hours each week.

Best Machine Learning Certifications for Data Scientists

Among machine learning certifications for data scientists, the Machine Learning Specialization from Andrew Ng on Coursera remains a common starting point for theory. It has three courses covering supervised learning, advanced algorithms, and unsupervised learning. It will not teach deployment, so pair it with a platform exam once you have a year or so of experience.

AWS Certified Machine Learning Engineer Associate

This exam costs $150 and runs 130 minutes with 65 questions. AWS recommends about a year of hands-on experience with Amazon SageMaker and related services. Choose it if the job postings you want mention AWS.

Google Cloud Professional Machine Learning Engineer

The exam costs $200 and lasts two hours. Google recommends three or more years of industry experience, including at least one year on Google Cloud. The certification stays valid for two years, then you renew. It suits people who already ship models, not beginners.

Databricks Certified Machine Learning Associate

At $200, this exam has 48 scored questions and a 90 minute limit. Databricks recommends six months of hands-on experience, and the certification stays valid for two years. It covers AutoML, MLflow, feature engineering, and Spark ML, with Python code throughout.

The Professional version also costs $200, with 59 questions, 120 minutes, and a one year experience recommendation.

Statistics Certifications: The Gap in Most Lists

Most lists of data science certifications skip statistics, yet it sits under every model you will build. Options are thin, so I would combine two.

The Google Advanced Data Analytics Certificate is my first pick. It is a seven course program, about six months at 10 hours a week, covering statistical analysis, Python, regression models, and machine learning. Google lists junior data scientist and data science analyst among the job titles it prepares you for.

If your employer uses SAS, the SAS Statistical Business Analyst exam costs $180. It has 60 scored questions and a 68 percent pass mark. Logistic regression and model performance each carry 25 percent of the exam, and linear regression carries 20 percent.

INFORMS runs the Certified Analytics Professional program. Its CAP-Essentials exam has no eligibility requirements and costs $195 for members or $275 for nonmembers. It tests analytics practice more than pure statistics, so treat it as a complement.

Which Certification Fits Your Career Stage?

You Are New to the Field

Start with the IBM Data Science Professional Certificate. You will pick up Python, SQL, and basic machine learning in one program. Before you commit, check what junior roles pay in our breakdowns of entry-level data scientist salary in the US and entry-level data analyst salary, since the analyst route often comes first.

You Are an Analyst Moving Up

The Google Advanced Data Analytics Certificate fits best here because it builds on habits you already have. Our Data Analyst Salary in the US 2026: Complete Guide shows what analysts earn today, and the page on data analyst salary by experience level shows how that changes with each year on the job.

Then weigh the jump. The comparison of data analyst vs data scientist salary helps you judge whether the extra study time pays off, and the data analyst career path guide lays out each step in between.

You Already Build Models

Pick one platform exam that matches your employer. Save 15 job postings for roles you want, and count how often AWS, Google Cloud, or Databricks appears. Let that count decide, not a ranking. Pay also shifts by metro, so review data scientist salary by city before you relocate for a role.

Certificates Versus Portfolio Projects

Data science certifications prove you finished a course. A project proves you can use what you learned. Coursera’s own guide says a professional certificate is not guaranteed to land you the job, and that the skills behind it count most.

So attach two projects to every data science certification you earn. Use a messy public dataset, build a baseline model, and explain your decisions in plain language. After a statistics course, include a regression with checked assumptions. After a cloud exam, deploy one model end to end.

What a Two-Certification Stack Costs

The best certifications for data scientists work as a pair, so I would stop at two. Here are two stacks built from the prices above. They are my estimates, not vendor quotes.

Budget for one retake, too. Databricks does not offer free retakes, so each new attempt costs another $200.

Will a Certification Raise Your Salary?

Probably less than the marketing for data science certifications suggests. The BLS median of $120,230 covers every experience level, and your own number depends more on years of experience and location than on one badge. For a realistic range, check data scientist salary by experience and the overview of data scientist salary in the US.

I also looked for independent survey data that ties a specific certification to a fixed raise and found none. Some prep sites quote premiums of 18 to 25 percent, but I could not trace those numbers to a compensation survey, so I left them out.

Your Next Steps

Use this short checklist to choose from the best certifications for data scientists without overspending.

1. Check that any certificate you found online is still active. Vendor pages list retirement dates.
2. Pick one starter program based on your stage above.
3. Add a platform exam only after you have saved postings that name it.
4. Build two projects and publish them on GitHub.

Not sure where to begin? Start with the Data Analyst Salary in the US 2026: Complete Guide to see where analysts start out. Read about remote data analyst jobs in the US if you want location flexibility. Then use the data scientist career path guide to plan your growth.

Frequently Asked Questions

Share Your Experience

Have you earned one of these certifications, or hit a retired exam halfway through your studies? Tell us in the comments what it cost, how long it took, and whether it helped you land interviews. Real stories help the next reader more than any ranking.

How This Article Was Created

I gathered the data in September 2026 from the BLS Occupational Outlook Handbook (May 2025 wages and 2025 to 2035 projections), official vendor pages from Databricks, Google Cloud, SAS and INFORMS, AWS and Microsoft retirement announcements, and Coursera program pages.

Python Institute prices come from published exam listings. I did not fabricate any figures, and where sources disagreed I said so. Prices and exam rules change, so verify them on the vendor page before you buy. I wrote this to inform readers, not to sell any program.