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.
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:
Data Wrangling with R
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Classification, (Big) Data Analysis and Statistical Learning
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Learn Data Analysis with Python
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For help with data or data-related tools, or for any other questions, please contact the University Libraries Data and Publishing Services team.