Coding Questions
platform.stratascratch.com/codingStrataScratch offers over 1,000 data science interview questions across SQL, Python, statistics, machine learning, and data projects.
Looking for something like R for Data Science? Here are 24 alternatives, ranked by how closely they match it on purpose, features and platforms. Of these, 5 are open source.
The first edition of R for Data Science teaches data import, transformation, visualization, and modeling with R.
| # | Alternative | Pricing | Open source | Platforms |
|---|---|---|---|---|
| 1 | Coding Questions | — | Not stated | Web |
| 2 | Deep ML | — | Not stated | Web |
| 3 | Virgilio | — | Not stated | Web |
| 4 | Awesome Data Analysis | — | Yes | — |
| 5 | Virgilio | — | Not stated | — |
| 6 | OSSU Data Science | — | Not stated | — |
| 7 | Data Science Ipython Notebooks | — | Not stated | — |
| 8 | Awesome DataScience | — | Yes | — |
| 9 | ML YouTube Courses | — | Yes | — |
| 10 | Zasper | — | Yes | — |
StrataScratch offers over 1,000 data science interview questions across SQL, Python, statistics, machine learning, and data projects.
Deep-ML provides hands-on exercises in machine learning and data science fundamentals.
Virgilio organizes data science e-learning resources in a structured project overview.
Awesome Data Analysis collects more than 500 resources for data analysis and data science.
An open-source initiative, Virgilio guides learners through data science resources and skill development.
OSSU Data Science provides a free study path based on an undergraduate data science curriculum.
Data Science IPython Notebooks collects notebooks about data science, including TensorFlow deep learning.
This Awesome DataScience repository collects learning material and resources about data science.
A curated repository helps readers discover machine learning and AI courses published on YouTube.
The Zasper project describes an IDE for working with Jupyter notebooks.
A collaborative collection shares course and lecture notes on machine learning, natural language processing, and AI.
This online, work-in-progress third edition explains data analysis and visualization with ggplot2.
LLM Visualization presents a three-dimensional animated visualization of a language model with a walkthrough.
Visualization.info describes educational resources for data visualization, including lecture videos, tutorials, textbooks, and notes.
The Data Visualisation Guide covers design principles, storytelling, chart types, accessibility, and other visualization topics.
MicroGPT Lab visualizes how a small GPT model tokenizes data, learns patterns, and generates names.
The second edition of R Packages teaches how to create packages for reusable and reproducible R code.
Teach Yourself Computer Science curates resources for building a broad, self-directed computer science education.
Code.org, now CodeAI, provides free K–12 curriculum and tools for teaching digital fluency, computer science, and AI.
Lost at SQL teaches SQL concepts through a text-based game designed for data scientists and marketers.
Hello Algo teaches data structures and algorithms with animated illustrations and runnable code, available online and as downloads.
This guide teaches JavaScript data processing and cleaning, including loading, modifying, and transforming data.
Computer Science Lecture Links collects video lecture links for placement preparation, including C and data structures.
Data Engineering Zoomcamp offers a free nine-week course that teaches data engineering system development.
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