Looking for something like Data School? Here are 24 alternatives, ranked by how closely they match it on purpose, features and platforms. Of these, 3 are open source.
Data School publishes lessons and articles for people building data science careers, including coverage of machine learning topics.
| # | Alternative | Pricing | Open source | Platforms |
|---|---|---|---|---|
| 1 | Introduction to machine learning with scikit-learn | — | Not stated | — |
| 2 | Data Science 101 | — | Not stated | Web |
| 3 | 100-Days-Of-ML-Code | — | Yes | — |
| 4 | Data Science For Beginners | — | Yes | — |
| 5 | S2DS | — | Not stated | Web |
| 6 | Executive Data Science | — | Not stated | iOS, Web |
| 7 | JavaScript for Data Science | — | Not stated | Web |
| 8 | Sanfoundry | — | Not stated | Linux, Web |
| 9 | Data Scientist | — | Not stated | Web |
| 10 | Artificial Intelligence: Foundations of Computational Agents, 2nd Edition | — | Not stated | Web |
This repository contains Jupyter notebooks for an introductory video series on machine learning with scikit-learn.
Data Science 101 is Ryan Swanstrom’s blog about learning to become a data scientist.
Follow a 100-day sequence of machine-learning coding exercises in this repository.
Microsoft’s Data Science for Beginners is a ten-week curriculum with 20 lessons for learning data science.
S2DS provides a data science bootcamp focused on business experience and career transition.
This book explains how to build and manage a successful organization for data science work.
JavaScript for Data Science presents educational material about data science topics.
Sanfoundry offers free educational and learning resources across its subject areas.
Data Scientists offers learning material on core concepts for data analysts, scientists, engineers, and other data practitioners.
Artificial Intelligence: Foundations of Computational Agents is a textbook with online educational resources.
The Open Source Data Science Masters site shares reflections and materials from a six-month data science study program.
Practical Deep Learning for Coders is a free course on applying deep learning and machine learning, designed for people with coding experience.
Browse a curated collection of HTML5 resources, including articles, standards, and multimedia topics.
ThrustCurve provides model and high-power hobby rocket motor data, including manufacturer specifications and certified performance.
This article maps a possible curriculum for becoming a data scientist and discusses where to begin learning the field.
SciRuby promotes Ruby tools for scientific computing and data visualization.
Learn data structures and algorithms through open-source implementations in multiple programming languages.
Study algorithms implemented in C++ through this open-source learning repository.
A computer vision learning platform with interactive online code, an ebook, source code, and a reader community.
This guide introduces MLOps concepts and demonstrates their use with tools including DVC, CML, IBM Watson, Terraform, and Cookiecutter.
The Aspirational Data Scientist blog publishes data science commentary, course reviews, and career posts.
SKiDL uses Python to design electronic circuits, with KiCad and schematics among the repository's listed topics.
Bird Sounds presents a collection of bird recordings, with sounds credited to the Macaulay Library and collaborators.
The Artificial Intelligence: A Modern Approach textbook site includes courses, exercises, and related resources.
Alternatives are suggested from the purpose and features described in our listings. Different pages for the same product appear once. Read each description to check whether it fits your task. How we choose alternatives · Suggest an alternative
