Excel has decent data analysis tools (it's possible to also find excel online version). Check here: https://www.excel-easy.com/data-analysis.html. As I see it, you need to define your goals for the analysis first - what it is that you want to find out? And then decide, which data and in what combination to use. If you are not sure, you can take the second approach - try to find connections, and if there are any correlations between different variables (try googling "correlational research"). I hope this helps ;)

I agree with Laura Dzelzkaleja . Keep in mind that you have three different participant groups, which at the very least allows you to do a descriptive analysis by stratifying and comparing these three groups. Once this is complete and you want to take this further, you can do a variety of different analytics and statistical tests, like an analysis of variances (ANOVA) between some of these stratified groups, depending on the sample size of each. However, in order to truly gain most from the research, you would need to have well defined research questions so that you can see which statistical and/or data science methods can work best to assist in the argument or claims you are trying to make.

@Jessica If you look to measure mean difference in your variables across three participants groups then go for ANOVA.