This article maps a possible curriculum for becoming a data scientist and discusses where to begin learning the field.
Data Science 101 vs whoBIRD
How do Data Science 101 and whoBIRD compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | Data Science 101 | whoBIRD |
|---|---|---|
| What it is | Data Science 101 is Ryan Swanstrom’s blog about learning to become a data scientist. | This Android app recognizes bird species from their sounds and includes an extensive database of bird recordings. |
| Website | ||
| Type | Online tool | Website |
| Topic | ||
| Pricing | Not confirmed | Not confirmed |
| Platforms | Web | Android, Web |
| Open source | Not stated | Not stated |
| Language | English | French |
| Alternatives |
Other options to consider
Sites similar to both Data Science 101 and whoBIRD.
This repository contains Jupyter notebooks for an introductory video series on machine learning with scikit-learn.
Study algorithms implemented in C++ through this open-source learning repository.
Practical Deep Learning for Coders is a free course on applying deep learning and machine learning, designed for people with coding experience.
Bird Sounds presents a collection of bird recordings, with sounds credited to the Macaulay Library and collaborators.
This guide introduces MLOps concepts and demonstrates their use with tools including DVC, CML, IBM Watson, Terraform, and Cookiecutter.





