Career guides by Science of Apps for 2027 · Roadmap

The data science roadmap
from beginner to expert

A data science certification roadmap for 2027: start with free Kaggle and CS50, learn analysis with Google Data Analytics, move to IBM Data Science or Google Advanced Data Analytics, add Andrew Ng's ML Specialization, then prove platform skills with Azure DP-100 or AWS ML Engineer.

By , FounderUpdated 4 min read

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Quick answer: What is the data science certification roadmap for 2027?

  1. Stage 1 — Foundations.
  2. Stage 2 — Analysis.
  3. Stage 3 — Data science.
  4. Stage 4 — ML.

Key takeaways

  • Each stage builds on the last.
  • Stop when you reach the role you want.
  • Hands-on practice at every stage.

Data science careers move in clear stages. This roadmap names the certification for each one, so you know what to take next and where you can stop.

What is the data science certification roadmap for 2027? At a glance: Stage 1; Stage 2; Stage 3; Stage 4.
At a glance: What is the data science certification roadmap for 2027?

The roadmap 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.

The data science certification roadmap for 2027: issuer, cost and format from official pages (costs as of November 2026)
#CertificationCostTimeProve it free
1Kaggle Learn Micro-Courses (ML, Python, SQL)Kaggle (Google)Free1Short micro-courses, a few hours eachFree test
2CS50: Introduction to Computer ScienceHarvard UniversityFree2Self-pacedFree test
3Google Data Analytics Professional CertificateGoogle / Coursera$49/mo Coursera plan36 months at 10 hours a weekFree test
4IBM Data Science Professional CertificateIBM / CourseraCoursera plan44 months at 10 hours a weekFree test
5Google Advanced Data Analytics Professional CertificateGoogle / Coursera$49/mo Coursera plan56 months at 10 hours a weekFree test
6Machine Learning SpecializationDeepLearning.AI & Stanford / Coursera$49/mo Coursera plan62 months at 10 hours a weekFree test
7Microsoft Azure Data Scientist Associate (DP-100)MicrosoftExam priced by country7Self-pacedFree test
8AWS Certified Machine Learning Engineer – AssociateAmazon Web Services$1508Check issuerFree test

Prove it free before you pay for an exam

Science of Apps · free certification tests

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.)

Each stage, and the certification for it

  1. KaggleKaggle Learn Micro-Courses (ML, Python, SQL)Stage 1: FoundationsFree
  2. Harvard UniversityCS50: Introduction to Computer ScienceStage 1: FoundationsFree
  3. CourseraGoogle Data Analytics Professional CertificateStage 2: Analysis$49/mo Coursera plan

Kaggle (Google) · BeginnerTop pick for 2027

Kaggle Learn Micro-Courses (ML, Python, SQL)

Cost
Free1
Time
Short micro-courses, a few hours each

Stage 1: free Python, pandas and SQL Kaggle's free micro-courses cover Python, pandas, SQL, data visualisation and machine learning, each in a few hours with hands-on notebooks and a free certificate. They're ideal practice alongside a structured course.

Best forstage 1: Foundations

Harvard University · Beginner

CS50: Introduction to Computer Science

Cost
Free2

Stage 1: Harvard's free CS course Harvard's free introduction to computer science teaches C, Python, SQL and web development through demanding problem sets, with a free certificate. An optional paid verified certificate is available through edX.

Best forstage 1: Foundations

Google / Coursera · Beginner

Google Data Analytics Professional Certificate

Cost
$49/mo Coursera plan3
Time
6 months at 10 hours a week

Stage 2: Google Data Analytics, 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 forstage 2: Analysis

IBM / Coursera · Beginner

IBM Data Science Professional Certificate

Cost
Coursera plan4
Time
4 months at 10 hours a week

Stage 3: IBM Data Science 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 forstage 3: Data science

Google / Coursera · Intermediate

Google Advanced Data Analytics Professional Certificate

Cost
$49/mo Coursera plan5
Time
6 months at 10 hours a week

Stage 3: Google Advanced Data Analytics 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 forstage 3: Data science

DeepLearning.AI & Stanford / Coursera · Intermediate

Machine Learning Specialization

Cost
$49/mo Coursera plan6
Time
2 months at 10 hours a week

Stage 4: Andrew Ng's ML Specialization Andrew Ng's specialization with Stanford teaches supervised and unsupervised learning, model evaluation and practical machine learning in Python. It takes about two months at ten hours a week and is widely regarded as the clearest structured start in ML.

Best forstage 4: ML

Microsoft · Associate

Microsoft Azure Data Scientist Associate (DP-100)

Cost
Exam priced by country7

Stage 5: Azure DP-100 Microsoft's associate exam proves you can train and deploy machine learning models with Azure Machine Learning. It's priced by country, needs Python and ML basics and renews free online each year.

Best forstage 5: Platform proof

Amazon Web Services · Associate

AWS Certified Machine Learning Engineer – Associate

Cost
$1508

Stage 5: AWS ML Engineer AWS's associate exam proves you can prepare data, train, deploy and monitor machine learning models on AWS. It costs $150 and expects hands-on ML and AWS experience, making it a strong credential for ML engineers.

Best forstage 5: Platform proof

Stages at a glance

StageFocusCertifications
1Foundationsfree Python, pandas and SQL, Harvard's free CS course
2AnalysisGoogle Data Analytics, about six months
3Data scienceIBM Data Science, Google Advanced Data Analytics
4MLAndrew Ng's ML Specialization
5Platform proofAzure DP-100, AWS ML Engineer

Table: Data science roadmap

How we ranked these picks

We ordered certifications by prerequisites and role level. Fees and times come from official pages, checked 3 November 2026.

Frequently asked questions

Where do I start?

Kaggle and CS50, then Google Data Analytics.

Should I be an analyst first?

Many do.

How long does it take?

Often a year or more.

Which platform exam?

DP-100 for Azure, AWS MLE for AWS.

Is there a free test?

Yes. Science of Apps offers free data science tests.

Sources

  1. Kaggle (Google) — Kaggle Learn Micro-Courses (ML, Python, SQL), official page (checked 3 Nov 2026)
  2. Harvard University — CS50: Introduction to Computer Science, official page (checked 3 Nov 2026)
  3. Google — Google Data Analytics Professional Certificate, official page (checked 3 Nov 2026)
  4. IBM — IBM Data Science Professional Certificate, official page (checked 3 Nov 2026)
  5. Google — Google Advanced Data Analytics Professional Certificate, official page (checked 3 Nov 2026)
  6. DeepLearning.AI & Stanford — Machine Learning Specialization, official page (checked 3 Nov 2026)
  7. Microsoft — Microsoft Azure Data Scientist Associate (DP-100), official page (checked 3 Nov 2026)
  8. Amazon Web Services — AWS Certified Machine Learning Engineer – Associate, official page (checked 3 Nov 2026)
  9. 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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