Resources I have found in my quest to become a data scientist. I have only used some of these so far. Some are marked for future use
Code Wars
Hacker Rank
Kaggle
DataQuest
W3 Code Schools
Coursera
MIT Open Courseware
100 days of code
Tableau
MySQL Workbench
Anaconda
Jupyter
Python 3 Documentation
Stack Overflow
GitHub
BitBucket
Ubuntu on WSL
Spyder IDE
Google Docs
Microsoft 365
ChatGPT
Dall-e2
google keep
LinkedIn Learning
Data Camp
r/datascience
Tableau on Tableau Webinars
Twin Cities Meetup-- League of Extraordinary Algorithms
Minnebar Unconference Twin Cities
Minnestar Events Twin Cities
Data Science Connect
Awesome-public-datasets repository
r/datasets
data.gov
CERN open data
LIGO open data
GW open data 2
NASA open data
USGS open data
Climate data
Weather data
environmental protection agency open data
US Energy Administration Information Open Data
NYC open data education
World bank open data
kaggle open data
Starburst videos
TLDR Talent
Interview Kickstart
Me on Dimensionality Reducton on LinkedIn
To do:
- HTML
- R programming
- Review C++
- Learn Machine Learning
- Kaggle project(s)
- ChatGPT
- Other AI assistants?
- NLP?
- Image processing?
- LLM???????