practical-tutorials / practical-tutorials/project-based-learning
Update on Data Scientist and Data Engineer Tools
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 284k
- Forks
- 36.3k
- PR merge metrics
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Description
Description & Why
The number of tools for Data Science and Data Engineering is rapidly growing, making them highly sought-after skills. It would be fantastic to have a blog or resource dedicated to helping us learn and stay updated in these fields.
Possible Implementation & Open Questions
It would be great to have tools, tutorials, or blogs on Data Science and Data Engineering, covering topics like:
Data Engineering: ETL tools, databases, cloud platforms, data warehousing
Data Science: model deployment
Big Data: Hadoop, Kafka
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
The issue names no file, test, or entry point to inspect. First clarify whether the requested outcome is a blog, a curated resource list, or tutorials covering the listed data-engineering and data-science topics; completion criteria are not defined.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- hadoop, kafka
- Domain
- data-engineering, documentation
- Issue type
- Documentation
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100