It could be, and if the cost is low go for it. However, having hired quite a bit in data science, I look more for project work and understanding and less on credentials. Moocs, degrees, and certs. don't really tell me if you can code, know statistics, and know how to work out business problems. Projects, open-source contributions, and case studies are what I find help me understand the technical fit of a candidate. EDIT: I have been overwhelmed by the positive responses folks have. There is clearly a lot of desire in r/datascience for experienced advice. I'll try to contribute more when I can! Answer from Deleted User on reddit.com
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Coursera
coursera.org › browse › data science › data analysis
IBM Data Science Professional Certificate | Coursera
This Professional Certificate has a strong emphasis on applied learning and includes a series of hands-on labs in the IBM Cloud that give you practical skills with applicability to real jobs.
Rating: 4.6 ​ - ​ 150K votes
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IBM
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What is Data Science? | IBM
November 17, 2025 - Data science is a multidisciplinary approach to gaining insights from an increasing amount of data. IBM data science products help find the value of your data.
Discussions

Is the IBM Data Science Professional Certificate worth anything?
It could be, and if the cost is low go for it. However, having hired quite a bit in data science, I look more for project work and understanding and less on credentials. Moocs, degrees, and certs. don't really tell me if you can code, know statistics, and know how to work out business problems. Projects, open-source contributions, and case studies are what I find help me understand the technical fit of a candidate. EDIT: I have been overwhelmed by the positive responses folks have. There is clearly a lot of desire in r/datascience for experienced advice. I'll try to contribute more when I can! More on reddit.com
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December 14, 2019
is IBM data science professional certificate from coursera worth it?

The answer is hidden in the subreddit search function. This question has been asked a million times and the answer is always: it really depends.

Alternatively, please use the entering and transitioning sticky. If you give a bit more information about yourself and your situation, [less snarky edit] people will have an easier time helping you.

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December 20, 2022
Has anyone tried or has reviews for edX IBM Data Science with Certification course?
If you're referring to "Professional Certificate in IBM Data Science" (9 courses) , I'm doing the same cert but using Coursera. Looks like the same content. It was offered for free for one month (certs. included) a few weeks ago. More on reddit.com
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February 1, 2020
IBM Data Science and AI Programs on Coursera Free for 30 Days
2.7M subscribers in the datascience community. A space for data science professionals to engage in discussions and debates on… More on reddit.com
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February 17, 2020
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What are some examples of careers in data science?
An understanding of data science and the ability to make data driven decisions is useful in any career, but some careers specifically require a data science background. Some examples of careers in data science include:  -​ Business Intelligence Analyst -​ Data Analyst -​ Data Architect -​ Data Engineer -​ Data Scientist -​ Machine Learning Engineer -​ Marketing Analyst -​ Operations Analyst -​ Quantitative Analyst
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coursera.org
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IBM Data Science Professional Certificate | Coursera
How can I access job opportunities with IBM and other organizations after completing this Professional Certificate?
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IBM Data Science Professional Certificate | Coursera
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IBM
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Badge: Data Science Professional Certificate - IBM Training - Global
The badge earner is ready for a career in data science with demonstrated ability to solve for real-world problems. They can apply Data Science methodology - work with Jupyter notebooks - create Python apps - access relational databases using SQL & Python - use Python libraries to generate data visualizations - perform data analysis using Pandas - construct & evaluate Machine Learning (ML) models using Scikit-learn & SciPy and apply data science & ML techniques to real location data sets.
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IBM
ibm.github.io › data-science-best-practices
Introduction | IBM Data Science Best Practices
The goal of this repository is to enable data scientists and ML engineers to develop data science use cases and making it ready for production use. This means focusing on the versioning, scalability, monitoring and engineering of the solution.
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Reddit
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r/datascience on Reddit: Is the IBM Data Science Professional Certificate worth anything?
December 14, 2019 -

I've signed up for the IBM Data Science cert on Coursera. 9 Modules, and the classes seem doable -- I think I can probably finish it within three months time.

Does anyone have any experience with this cert/ certs in general?

I don't expect it to land me a job, but if it catches the HR's eye and lands me a phone interview, then that would probably be enough to justify its worth.

And I'll probably learn a thing or two in the process! (I'm still only a few months into my data science journey)

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edX
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IBM Data Science Professional Certificate
Master critical data science skills to start your career in data science and machine learning.
Find elsewhere
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IBM
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Data Science Tools & Solutions | IBM
Optimize business outcomes with data science solutions to uncover patterns and build predictions using data, algorithms, and machine learning and AI techniques.
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IBM SkillsBuild
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Data Science | IBM SkillsBuild
Our comprehensive courses offer practical knowledge in data analysis, machine learning, and statistical modeling. Equip yourself with the skills needed to analyze complex data and drive decision-making in any industry.
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Data science - IBM Developer
Analyze structured and unstructured data to extract knowledge and insights.
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Jobs in Data & Analytics | IBM Careers
Come analyze like an IBMer. Help transform our clients’ data into tangible business value by analyzing information, communicating outcomes, and building trusted data foundations that enable responsible AI adoption across hybrid cloud environments.
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Credly
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IBM Data Science Professional Certificate - Credly
They can apply Data Science methodology - work with Jupyter notebooks - create Python apps - access relational databases using SQL & Python - use Python libraries to generate data visualizations - perform data analysis using Pandas - construct & evaluate Machine Learning (ML) models using Scikit-learn & SciPy and apply data science & ML techniques to real data sets. ... Complete all courses in the IBM Data Science Professional Certificate program on Coursera (includes quizzes, hands-on assignments and projects), and earn the following badges:
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GitHub
github.com › ndohvich › IBM-Data-Science-Professional-Certificate
GitHub - ndohvich/IBM-Data-Science-Professional-Certificate: Kickstart your career in data science & ML. Build data science skills, learn Python & SQL, analyze & visualize data, build machine learning models. No degree or prior experience required. · GitHub
The program consists of 10 online courses that will provide you with the latest job-ready tools and skills, including open source tools and libraries, Python, databases, SQL, data visualization, data analysis, statistical analysis, predictive modeling, and machine learning algorithms. You’ll learn data science through hands-on practice in the IBM Cloud using real data science tools and real-world data sets.
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Languages   Jupyter Notebook 99.9% | Python 0.1%
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Ace National Guide
acenet.edu › National-Guide › Pages › Course.aspx
IBM Data Science Professional Certificate
The course objective is to provide ... Students learn data science through hands-on practice in the IBM Cloud using real data science tools and real-world data sets while building a portfolio of data science projects...
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Coursera
coursera.org › browse › data science › data analysis
IBM Data Analyst Professional Certificate | Coursera
Offered by IBM. Prepare for a career as a data analyst. Build job-ready skills – and must-have AI skills – for an in-demand career. Earn a ... Enroll for free.
Rating: 4.6 ​ - ​ 98.6K votes
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IBM SkillsBuild
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Free Data Science Courses for Students | IBM SkillsBuild
Dive into our free resources and learn what data science is and how it’s used in different industries (like music and streaming).
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Franklin University
franklin.edu › franklinworks-marketplace › certificates › ibm-data-science-professional-certificate-online
IBM Data Science Professional Certificate Online | FranklinWorks Marketplace
Learn to apply data science tools, languages and libraries, including databases and SQL, to solve real-world data science problems · Use Python and data analysis libraries to load, manipulate, analyze and visualize data · Dive into machine learning (ML) and practice ML skills, such as regression, ...
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IBM
ibm.com › new › training › data-science-ibm-coursera
IBM announces Data Science Professional Certificate on Coursera - IBM Learning Blog
November 19, 2025 - The courses cover variety of data science topics including: open source tools and libraries, methodologies, Python, databases and SQL, data visualization, data analysis, and machine learning.
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Medium
medium.com › data-science › a-very-subjective-review-of-ibms-data-science-professional-certificate-b3294fe92482
A Very Subjective Review of IBM’s Data Science Professional Certificate | by Maurice Henry Buettgenbach | TDS Archive | Medium
November 10, 2021 - I have an economics background and taught myself coding during my Master’s thesis so I had absolutely no idea how to approach this field. After reading a bunch of Medium articles and other blog posts on how other people think one should kickstart his career in data science, I ended up enrolling into IBM’s Data Science Professional Certificate.
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IBM
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IBM Data Science and Artificial Intelligence Professional Certificates on edX - IBM Learning Blog
March 3, 2026 - Develop critical skills in Artificial Intelligence and Data Science with IBM's Professional Certificate Programs on edX
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Data science - Learningpaths - IBM Developer
Data science is the process of using algorithms, methods, and systems to extract knowledge and insights from structured and unstructured data. It can be used to make predictions and decisions using analytics and machine learning.