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

These are competitors—both are study note/resource repositories for the same IBM Data Science Professional Certificate curriculum on Coursera, offering similar value propositions for learners working through identical course content.

Maintenance 0/25
Adoption 9/25
Maturity 16/25
Community 21/25
Maintenance 0/25
Adoption 9/25
Maturity 8/25
Community 23/25
Stars: 79
Forks: 39
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stars: 82
Forks: 88
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License:
Stale 6m No Package No Dependents
No License Stale 6m No Package No Dependents

About data-science-notes

lijqhs/data-science-notes

Notes of IBM Data Science Professional Certificate Courses on Coursera

This collection of notes helps you review and reinforce your understanding of core concepts in data science. It covers everything from what data science is, to key tools, methodologies, and practical applications like Python programming, databases, statistics, data analysis, visualization, and machine learning. Individuals studying to become data scientists or those looking to refresh their knowledge in the field will find these notes useful.

data-science-education course-review learning-resources data-analysis-training machine-learning-concepts

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

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