Image Description: Dual-monitor computer with computer code on one screen being used to analyze data.
Data analysis involves inspecting, cleaning, transforming, and (often) computationally modeling data to find information and trends within a dataset, and inform decision-making and lend insight towards hypotheses. Data analysis helps us turn data into meaningful information about the objects represented through the data.
For an introductory view of data analysis using mean, median, and mode, check out this video:
Data Wrangling with R by 
Classification, (Big) Data Analysis and Statistical Learning by 
Learn Data Analysis with Python by CMU Libraries provides individualized training and group workshops to dozens of useful data analysis tools! Check out our list of (free!) workshops each semester that are open to anyone in the CMU community:
https://www.library.cmu.edu/about/publications/news/upcoming-workshops
Examples of data analysis-themed workshop topics we regularly offer include:
CMU Libraries offers several opportunities for hands-on help and collaboration with your data analysis needs and general data education. These opportunities involve working with our very talented group of librarians and specialists, most of whom have several years of hands-on experience with data analytics! Check out some of our programs below for more information:
The CMU Libraries Data Collaboration Lab (DataCoLAB) connects the research community across disciplinary borders, and facilitates collaborations between data producers and data scientists. The program connects researchers who want more from their datasets with individuals who have data and computer science skills, creating opportunities for people with different technical and disciplinary backgrounds to work together.
Want to learn more or ask questions? Email dataCoLAB@andrew.cmu.edu.
Banner image courtesy of Fotis Fotopoulos on Unsplash, found here: https://unsplash.com/photos/LJ9KY8pIH3E. Design made in Canva.
