This article maps a possible curriculum for becoming a data scientist and discusses where to begin learning the field.
Data Science 101
vsMLOps Guide
Data Science 101 vs MLOps Guide
How do Data Science 101 and MLOps Guide compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | Data Science 101 | MLOps Guide |
|---|---|---|
| What it is | Data Science 101 is Ryan Swanstrom’s blog about learning to become a data scientist. | This guide introduces MLOps concepts and demonstrates their use with tools including DVC, CML, IBM Watson, Terraform, and Cookiecutter. |
| Website | ||
| Type | Online tool | Online tool |
| Topic | ||
| Pricing | Not confirmed | Not confirmed |
| Platforms | Web | Web |
| Open source | Not stated | Not stated |
| Language | English | English |
| Alternatives |
Other options to consider
Sites similar to both Data Science 101 and MLOps Guide.
This repository contains Jupyter notebooks for an introductory video series on machine learning with scikit-learn.
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.
Follow a 100-day sequence of machine-learning coding exercises in this repository.
Open source
24 alternativesBird Sounds presents a collection of bird recordings, with sounds credited to the Macaulay Library and collaborators.





