IBM-Data-Science-Professional-Certificate and ibm-ai-engineering

These are ecosystem siblings within IBM's professional certification curriculum—one provides foundational data science skills while the other builds specialized expertise in machine learning and deep learning, allowing learners to progress sequentially through related but distinct technical domains.

IBM-Data-Science-Professional-Certificate
40
Emerging
ibm-ai-engineering
30
Emerging
Maintenance 0/25
Adoption 9/25
Maturity 8/25
Community 23/25
Maintenance 0/25
Adoption 2/25
Maturity 16/25
Community 12/25
Stars: 82
Forks: 88
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: —
Stars: 2
Forks: 1
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
No License Stale 6m No Package No Dependents
Stale 6m No Package No Dependents

About IBM-Data-Science-Professional-Certificate

DanielBarnes18/IBM-Data-Science-Professional-Certificate

IBM Data Science Professional Certificate

This project provides comprehensive documentation and resources from the IBM Data Science Professional Certification, helping aspiring data professionals learn key skills. It compiles notes, code snippets, and project examples from 10 courses, covering topics like Python programming, SQL databases, data analysis, visualization, and machine learning. Anyone looking to acquire foundational and practical data science abilities would find this useful.

data-science-education career-development skill-acquisition analytics-training

About ibm-ai-engineering

david-palma/ibm-ai-engineering

This IBM Professional Certificate covers machine and deep learning with Python, using SciPy, Scikit-Learn, Keras, PyTorch, and TensorFlow to solve real-world problems through labs and projects.

Related comparisons

IBM-Data-Science-Professional-Certificate and data-science-notes IBM-Data-Science-Professional-Certificate and IBM-AI-Engineering-Professional-Certificate

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