Keep in mind that most of the people here (bioinformaticians) are Linux based, and there is a good reason we stick to Linux for this type of stuff (windows based software are often unstable when dealing with this type of data sets).... BUT!
DNA Star https://www.dnastar.com/ It's not my favorite because in my opinion it's unstable when dealing with large genomes or a large set of libraries, but it's windows based and allows free trials giving you 2 weeks of free use, and are often available through universities for discounted prices
Geneious http://www.geneious.com/ Again, trial license is possible and discount for students.
Other than that VMware with Ubuntu and bioinformatics software like @Devon Ryan mentioned is a good option (it's how I play with data on my personal laptop) or you can make a dual boot installation of linux
Another method is getting someone to set up a system called Galaxy, which is essentially an interface for Linux software... it gives windows users a clear GUI with which they can do stuff like assemblies, annotations, etc, problem is that it has to be set up by someone on a Linux backend
And I haven't used this, but there is also a bioinformatics Linux OS called Biolinux http://environmentalomics.org/bio-linux/ Apparently it's a ready to boot USB OS, so you just plug it in, get your PC to start from USB and you have a complete bioinformatics toolkit at your finger tips :D
You could use the DocMind Analyst but its also not free. However, I want to mention it because its great for beginners and those who don't want to deal with Linux. It has a graphical user interface and you can choose between different assemblers (SPAdes, Skesa, A5) and different assembly options.
It offers a pipeline that includes read trimming (Trimmomatic), assembly, postprocessing (Pilon) and assembly statistics. There are also other pipelines like core genome phylogeny analysis with SNP/Indel calling and so on. You can start it in Windows and just choose a server in the AWS cloud. They also have good tutorials on their website. Its focused on bacterial genome or metagenomics analysis at the moment.