One advantage to doing work in the cloud with a tool like Google Sheets is that this makes your data easily shared with colleagues, and you can do collaborative and concurrent editing wherever you have a web browser and network connection available to you.
A disadvantage is that this makes your data easily shared with people who aren't your colleagues — as well as with Google, who have financial affiliations with companies like 23andMe etc. So keep this in mind if you are working with medical or proprietary data.
GraphPad Prism is good for statistics and nice plots
Some stuff may also be done in Galaxy, depends on the question that needs to be addressed, but Galaxy basically give GUI-based access to many of the bash functions, such as cut, sed, even awk-like stuff.
MS Excel is not a good tool for data analysis unless you have small-scale data. To manipulate tables efficiently and considering large-scale datasets, it is always better to use databases like MySQL or Psql which are open source and easy to use. You can also manipulate these databases through scripting and statistical languages like Python, R etc.