The general workflow for data analytics and visualization is to gather data sources; consolidate data, preprocess data including filtering, aggregation, transformation and other data tasks; model data, including creating models, estimating and validating models; analyze results, including description, prediction, prescriptions and impact evaluation; visualize the result with user interaction.
Please feel free to use the following links to download the software you need and study the documentation as a starting point for your projects. If you would like to discuss more about your research projects, the Digital Lab from the Research Informatics and Publishing provides consultation service to the research community by appointments and it offers accesses to computers with the following software programs.
Beside the documentation from the official websites, we recommend other great learning resources, such as https://lynda.psu.edu/and ICS-ACI that offers workshops, software programs and High Performance Computing (HPC) platforms. Or join PSU Data Analytics degree programs.