IBM · Professional Certificate · Foundational
IBM Data Science Professional Certificate
Crydd Score 83
Demand Growing
Career Value Moderate
Recognition Strong
IBM Data Science at a glance
- Provider
- IBM
- Credential type
- Professional Certificate
- Exam required
- No — course/project based
- Category
- Data
- Level
- Foundational
- Cost
- Coursera subscription (about $49/month)
- Difficulty
- Beginner
- Time to earn
- About 4 months at ~10 hours/week
- Validity
- Does not expire
- Format
- Course-based with projects; no proctored exam
- Prerequisites
- None
What is IBM Data Science?
IBM's beginner data science programme on Coursera, twelve courses covering Python, SQL, data analysis and visualisation, machine learning and a capstone, with a course on using generative AI in data science.
Skills it covers
- Python
- Data analysis
- Machine learning basics
- SQL
Is IBM Data Science worth it? The Crydd Verdict
CS 83Choose it if
You are new to data science and want a broad, structured introduction with projects, from a well-known provider.
Consider alternatives if
You want to focus on analysis rather than modelling: Google's Data Analytics Certificate. For deeper machine learning, the Machine Learning Specialization from Stanford and DeepLearning.AI.
Why we say so
Broad coverage at a subscription price with IBM's name behind it; employers will still expect a portfolio and, for most roles, a degree or experience.
Market demand
Data science roles are competitive at entry level; the certificate helps career changers show structured training, with projects doing the persuading.
Where IBM Data Science takes you
- Data Scientist
- Data Analyst
Career roadmaps show where this certification fits in each path. See the roadmaps.
Related certifications
Curated connections from the catalog — each labelled with how it relates to IBM Data Science, so you know why it’s here.
Careers IBM Data Science leads to
The professional paths this certification genuinely serves — browse every relevant credential for each.
A sensible order
Where IBM Data Science sits on the path — build up, then step on.
Recommended next after IBM Data Science
A step up on a shared path
