Looking for something like Data Science 101? Here are 24 alternatives, ranked by how closely they match it on purpose, features and platforms. Of these, 3 are open source.
Data Science 101 is Ryan Swanstrom’s blog about learning to become a data scientist.
| # | Alternative | Pricing | Open source | Platforms |
|---|---|---|---|---|
| 1 | Data School | — | Not stated | Web |
| 2 | Introduction to machine learning with scikit-learn | — | Not stated | — |
| 3 | Data Scientist | — | Not stated | Web |
| 4 | Awesome Aerospace Engineering | — | Yes | — |
| 5 | Data Science For Beginners | — | Yes | — |
| 6 | Curriculum via Metro map | — | Not stated | Web |
| 7 | S2DS | — | Not stated | Web |
| 8 | DataScientistJourney | — | Not stated | Web |
| 9 | JavaScript for Data Science | — | Not stated | Web |
| 10 | Executive Data Science | — | Not stated | iOS, Web |
Data School publishes lessons and articles for people building data science careers, including coverage of machine learning topics.
This repository contains Jupyter notebooks for an introductory video series on machine learning with scikit-learn.
Data Scientists offers learning material on core concepts for data analysts, scientists, engineers, and other data practitioners.
A curated GitHub list collects aerospace engineering learning resources and related projects.
Microsoft’s Data Science for Beginners is a ten-week curriculum with 20 lessons for learning data science.
This article maps a possible curriculum for becoming a data scientist and discusses where to begin learning the field.
S2DS provides a data science bootcamp focused on business experience and career transition.
The Open Source Data Science Masters site shares reflections and materials from a six-month data science study program.
JavaScript for Data Science presents educational material about data science topics.
This book explains how to build and manage a successful organization for data science work.
ThrustCurve provides model and high-power hobby rocket motor data, including manufacturer specifications and certified performance.
SciRuby promotes Ruby tools for scientific computing and data visualization.
Practical Deep Learning for Coders is a free course on applying deep learning and machine learning, designed for people with coding experience.
Study algorithms implemented in C++ through this open-source learning repository.
Sanfoundry offers free educational and learning resources across its subject areas.
Follow a 100-day sequence of machine-learning coding exercises in this 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.
Bird Sounds presents a collection of bird recordings, with sounds credited to the Macaulay Library and collaborators.
Artificial Intelligence: Foundations of Computational Agents is a textbook with online educational resources.
The Artificial Intelligence: A Modern Approach textbook site includes courses, exercises, and related resources.
This Android app recognizes bird species from their sounds and includes an extensive database of bird recordings.
The Aspirational Data Scientist blog publishes data science commentary, course reviews, and career posts.
Loic Tetrel publishes a computer science blog with data science and technology posts.
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
