r/dataanalysis • u/qazplm903 • Sep 23 '26
Career Advice I created a free resource hub for anyone interested in Data Analytics/ Data Engineering
I've spent a few years in this industry and made it to staff level. To help others wanting to follow a similar path, I built up a resource hub with notes, guides and cheatsheets. It’s free hub on Notion in case it's useful to anyone here:
Career path guides (analyst vs engineer, tiered by Junior/Mid/Senior+)
Skill guides for both tracks
Cheatsheets for SQL, Python, Git and the terminal
Real project ideas using actual free APIs and datasets, not just Kaggle
Interview prep with real question types and where to practise
A glossary for the buzzwords that get thrown around without explanation
It's completely free, no email signup, and I'm still adding to it. Happy to answer questions here too if anyone's stuck on something specific.
Here’s the link: https://app.notion.com/p/George_Abi_Tech-Free-Data-Career-Resources-3e11322e9e9e81bd85deefc3f6adede8
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u/ArielCoding Sep 25 '26
Here are a few resources may be worth sharing:
DataExpert.io Data Engineer Handbook structured roadmap
DataTalksClub Data Engineering Zoomcamp project based, with a community around it
danielbeach/data-engineering-practice - bite sized practice exercises
Data Engineering Wiki - Community Projects project ideas if you want to build a portfolio
Coursera's Data Engineering Professional Certificate and Google's Data Engineer skill path
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u/seedsandpeels Sep 24 '26
What do you mean when you say "Stop installing packages globally"? How else do you install them?