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Introduction to Data Analysis using Python
Registration
Details
Workshop format: Presentation and hands-on
Target audience: This workshop is ideal for those who are at the initial stages of doing independent research requiring quantitative analysis (term paper, dissertation, junior paper, senior thesis).
Knowledge prerequisites: None
Hardware/software prerequisites: Participants should install the Anaconda Python distribution (which includes Jupyter notebooks, NumPy, and pandas) on their laptops in advance. Instructions can be found here: https://bit.ly/3c7IXez
Learning objectives: Participants will walk away with 1) a basic knowledge of how to prepare the data for working with pandas in a Jupyter notebook; 2) how to use pandas for data analysis with a basic understanding of descriptive statistics, data visualization, ANOVA, and regression; 3) the idea that data analysis is not just about running statistical models.
Speakers
Oscar Torres-Reyna
Manager of Statistical Services, Economics
Princeton University
Oscar Torres-Reyna is the manager of statistical services at the Economics department at Princeton University. Oscar assists students working on their independent research projects that require data analysis and/or visualizations (junior papers, senior thesis, dissertations, term papers). He has taught introductory data analysis workshops at Princeton since 2009 and he is currently a part-time lecturer in Data Analytics at the Economics department at Rutgers University-New Brunswick. When Oscar first came to Princeton in 2007, he brought with him about 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 degree in public administration, and an MPhil. and PhD in political science from Columbia University, all with a strong focus on data analysis.
Hosted By
Co-hosted with: GradFUTURES, The Graduate School
Contact the organizers