Resources

What & Link	Type
Python Data Science Handbook   By Jake VanderPlas	(Free) eBook
No Bullshit Guide to Statistics   By Ivan Savov, aka MiniReference Co.	(Free) Tutorials, notebooks, videos, and eBook
habedi/PracticalMachineLearning	List of open-source & free ML resources
stat-cookbook	Cheatsheet for statistical formulae

GUIs for Statistical Analysis

By far, the most impressive GUI I've seen (to-date) for ad-hoc statistical analysis is JASP. Not ony does it support a huge amount of modules / plugins for analysis AND interop with R, but it also is completely free and open-source!

Other notable mentions:

Program	Platform	Pricing
SPSS (aka IBM SPSS Statistics)	Desktop	Paid
DataTab	Web	Freemium
MedCalc	Desktop	Paid

In addition, if you are comfortable doing some coding, Jupyter or marimo are "notebooks", a form of pseudo-GUIs, that are a good fit for many different types of analysis

Interactive Notebooks

One of the most common ways to iterate on some form of data analysis is to use a "notebook", which is a essentially a file that mixes executable code (Python, R, etc.) with presentational elements (rendered graphs, plots, HTML, etc.).

Historically, the most popular and stable option has been Jupyter, which now also can run on the web via JupyterLite. However, marimo is gaining steam as a competitor, and also offers a web version.