The Department of Research Informatics and Publishing enhances the technology-driven teaching and research capacity of the Penn State community. We partner with students, faculty, and staff to consult, provide training, and support projects in the areas of research data management, digital humanities, mapping, statistical analysis, data analytics and visualization, and open publishing. Our services are based on the tenets of openness, innovation and technology, collaboration, and supporting the entire research workflow.
Use the following links to download the software you need and we recommend the official documentation as learning resources. If you would like to discuss your research projects, the Advanced Analytics and Visualization Digital Lab from the Research Informatics and Publishing provides one-on-one consultation service to the research community by appointment. The Digital Lab offers computers with the following software programs.
Big Data Analytics & Machine Learning
Besides the documentation from the official websites, we recommend other great learning resources, such as https://lynda.psu.edu/and Penn State Institute for Computational and Data Sciences (ICDS) that offer workshops, software programs, and High-Performance Computing (HPC) platforms, or join PSU Data Analytics degree programs.
Penn State University Libraries will continue to offer Data Analytics and Visualization sessions this semester via Zoom. It highlights part of the Research Data Services offered by the Libraries’ Research Informatics and Publishing department.
These sessions are aimed at introducing the resources and expertise available at the University Libraries in Data Analytics and Visualization and offering an opportunity for hands-on experience using the available software tools at the university libraries.
The sessions are free and open to all Penn State students, staff, and faculty. Advanced registration is recommended.
|Introduction to Data Analytics and Visualization with Power BI and Tableau||Learn basic tools in Power BI and Tableau for data analytics and visualization with demos||Thursday, Oct.15, 2020||2:00 - 3:30 pm||Webinar ID: 933 1530 1665
|Data Modeling and Data Transformation with Power BI and Tableau||How to clean, transform, and create relations among data tables? sample data will be used for demos||Thursday, Oct. 22, 2020||2:00 - 3:30 pm||Webinar ID: 960 9096 2011
|Introduction to Big Data Analytics with Power BI and Tableau||Learn basic tools in Power BI and Tableau for big data analytics (R or Python) with demos||Thursday, Nov.05, 2020||2:00 - 3:30 pm||Webinar ID: 937 2542 2732
|Big Data Analytics with MS Azure or Google Cloud Platform||Learn the big data analytics tools in Azure and Google Platform with demos||Thursday, Nov. 12, 2020||2:00 - 3:30 pm||Webinar ID: 928 2159 7960
The general scope and purpose for these sessions are to overview the subject of data analytics, also to explore some commonly used software tools by demonstrating data analysis and visualization process based on some public sample datasets. Information about online resources, available university libraries’ resources (computers and software programs), and one-on-one consultation service from Research Data Services at Research Informatics and Publishing will be provided.
Contact: Xuying Xin, Data Analyst (Certified Tableau Desktop Specialist and MS Power BI), email@example.com
Thursday, Jan. 30, 2020, 2:00-3:30 p.m., W312A Pattee Library.
Introduction to Database - MS Access & Excel
Thursday, Feb. 27, 2020, 2:00-3:30p.m., W312A Pattee Library
Business Analytics with MS SQL Server & Business Intelligence (BI)/SSIS, SSAS, SSRS
Thursday, Mar. 26, 2020, 2:00-3:30p.m., W312A Pattee Library
Data Visualization with Power BI Desktop
Thursday, Apr. 23, 2020, 2:00-3:30p.m., W312A Pattee Library