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Data Analysis and Visualization for Beginners, 1st Section, part 1 of 5
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What to expect:
These are hands-on workshops intended for beginners, no prior experience with data analysis is required. The workshops intent to achieve the following goals which are part of what I call the “Anatomy of Data Analysis”:
1) Remove the fear of using a statistical package.
2) Learn how to upload data to the software.
3) Learn how to deal with raw data (collect, clean, prepare, organize).
4) Learn how to make sense of data.
The journey to achieve those goals will be through the collection and analysis of data in both numeric and text form. We will go over some basic descriptive statistics, data visualization, and basic models.
The plan is to dedicate two days to R, two days to Python, and one day for Stata.
Meet the facilitator:
Oscar is a data and statistics consultant. He joined Princeton in 2007 bringing twenty years of work/research experience in public, private, and academic sectors. He has a BA in economics from the School of Economics/UNAM (Mexico) and a diploma in applied statistics from ITAM (Mexico). He also holds a Masters in Public Administration, and an MPhil. and PhD in political science from Columbia University in New York City, all with a strong focus on quantitative analysis. At Princeton, Oscar assists students working on independent research projects like junior papers and senior thesis requiring data analysis and visualization. Since 2009 he has taught introductory data analysis workshops during the fall semesters.
To request accommodations for this event, please contact the workshop or event facilitator at least 3 working days prior to the event.