Program profile · official sources
IBM Data Science Professional Certificate
The IBM Data Science Professional Certificate on Coursera is a beginner-level program designed to prepare individuals for entry-level data scientist roles in the United States. Instructed by the IBM Skills Network Team, the curriculum teaches students how to import, clean, analyze, and visualize data, as well as build machine learning models and pipelines. Learners gain hands-on experience using Python, SQL, Jupyter notebooks, GitHub, and various data science libraries. The self-paced online program has a provider estimate of less than 6 months to complete, while the headline states 4 months at 10 hours a week. Earning the shareable provider-issued course certificate requires completing the 12-course series and a portfolio of data projects. As captured on 3 October 2026, the program is taught in English.
Facts checked 3 Oct 2026
- Price
- See pricing
No specific total price is stated. The page lists 'Enroll for free' and 'Financial aid available'.
- Time
- 4 months at 10 hours a week
- Level
- Beginner level
- Credential
- Provider-issued course certificate
Add to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
- Prerequisites
- Required: None. Recommended: Familiarity with computers and high school math; knowledge of calculus and linear algebra is an asset for the last few courses.
- Format
- Online, flexible schedule, learn at your own pace
Commercial status: no commercial relationship is documented for this page. The verification link goes directly to the official provider source.
Sources ↗
No accepted numeric price in this registry. See the sourced pricing details below.
See the full registry price landscape. Prices retain their stated payment scope; they are not comparable completion costs.
What’s covered
- Course 1: What is Data Science?
- Course 2: Tools for Data Science
- Course 3: Data Science Methodology
- Course 4: Python for Data Science, AI & Development
- Course 5: Python Project for Data Science
- Course 6: Databases and SQL for Data Science with Python
- Course 7: Data Analysis with Python
- Course 8: Data Visualization with Python
- Course 9: Machine Learning with Python
- Course 10: Applied Data Science Capstone
- Course 11: Generative AI: Elevate Your Data Science Career
- Course 12: Data Scientist Career Guide and Interview Preparation
Prerequisites: Required: None. Recommended: Familiarity with computers and high school math; knowledge of calculus and linear algebra is an asset for the last few courses.
What you actually do
- Course 1: What is Data Science? : 12 hours; Course 1 · Source
- Course 2: Tools for Data Science : 16 hours; Course 2 · Source
- Course 3: Data Science Methodology : 9 hours; Course 3 · Source
- Course 4: Python for Data Science, AI & Development : 24 hours; Course 4 · Source
- Course 5: Python Project for Data Science : 7 hours; Course 5 · Source
- Course 6: Databases and SQL for Data Science with Python : 18 hours; Course 6 · Source
- Course 7: Data Analysis with Python : 16 hours; Course 7 · Source
- Course 8: Data Visualization with Python : 19 hours; Course 8 · Source
- Course 9: Machine Learning with Python : 20 hours; Course 9 · Source
- Course 10: Applied Data Science Capstone : 14 hours; Course 10 · Source
- Course 11: Generative AI: Elevate Your Data Science Career : 14 hours; Course 11 · Source
- Course 12: Data Scientist Career Guide and Interview Preparation : 9 hours; Course 12 · Source
What the credential is
- Credential type
- Provider-issued course certificate · www.coursera.org / ibm-data-science
- Credential
- Shareable certificate · www.coursera.org / ibm-data-science
- Issuer
- IBM · www.coursera.org / ibm-data-science
- Sharing
- Add to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review. · www.coursera.org / ibm-data-science
- Exam requirement
- The page describes completing the program and a portfolio of projects to earn the credential; it does not explicitly establish whether a comprehensive final exam is required. · www.coursera.org / ibm-data-science
Who should skip it
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