Today I discovered this page with various blogs about data science, statistics, machine learning etc. https://github.com/dataquestio/data-science-blogs which is a treasure. I checked some of the blogs and I realized that statistics is a major factor in Data science. There is also the technical part of programming (R, Python etc.) but the knowledge of statistics is the basis for everything else I think.
This is a really nice article that explains precision, recall, and ROC curves https://www.analyticsvidhya.com/blog/2020/09/precision-recall-machine-learning/
Eurostat also maintains an official website, a wiki, presenting all statistical topics in an easily understandable way: Statistics Explained (SE, http://ec.europa.eu/eurostat/statistics-explained/index.php/Main_Page). Really interesting!
Here is the HTML basic commands https://developer.mozilla.org/en-US/Learn/Getting_started_with_the_web/HTML_basics . I wrote a simple code after reading the article and I created a simple page .
Cascading Style Sheets, or CSS, is a language for adding styles to HTML pages. https://developer.mozilla.org/en-US/docs/Learn/CSS/First_steps .
Angelo's progress in data analysis 