STAT 1053 - DATA JAM LAB

Minimum Credits: 1
Maximum Credits: 1
This lab course accompanies STAT 1050: Using Big Data for Community Good, a one semester, 3-credit, lecture course that teaches (1) the basics of data science (data visualization and analytics), and how to communicate these skills to others, (2) a Community-Based Research approach - to gain insight and ideas about how academic structures can be used for positive community impact, (3) principles guiding the ethics of collecting and using big data, (4) guidance in how to work fairly, safely and effectively with high school students, and (5) practical mentorship experience working with high school students as they participate in the DataJam. DataJam Lab is a one semester, 1-credit course that extends the practical mentorship experience of working with high school students as they participate in DataJam. Mentorship of high school DataJam teams involves helping teams (a) select a research question to focus their DataJam project on, (b) develop a hypothesis which they will test by data analysis, (c) find publicly available datasets that can be analyzed to answer their research question, (d) prepare a DataJam proposal, (e) use various computer programs (Google Sheets, Excel, Tableau, GGPlot) to prepare data visualizations, (f) develop an analytical strategy for answering their research question from the data they have identified, (g) use various computer programs (Google Sheets, Excel, R Studio, Python) to undertake statistical analyses of the data to answer their question, (h) interpret their statistical results, (i) prepare a poster summarizing the results of their research project, and (j) prepare and practice a 10-minute presentation summarizing the results of their research project.
Academic Career: Undergraduate
Course Component: Credit Laboratory
Grade Component: LG/SNC Elective Basis

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