Stata Fundamentals (Part 1 of 3) [D-Lab]

See organizers' website for details. This three-part series will cover the following materials: Part 1:  Introduction Getting a dataset into Stata (no previous knowledge expected) Examining a dataset and finding variables of interest Summarizing and tabulating variables Stata specific tools and resources (do files, logs, help files, etc.) Coding and cleaning data (making new variables from old variables; labeling variables and values, etc.) Using logical operators in Stata Cross-tabulations Part 2: Data Analysis in Stata  Correlation T-tests OLS and logistic regression (basic syntax, using interaction terms, interpreting output) Visualization (histograms, bar graphs, scatter plots) Regression postestimation (getting predicted values, basic graphs) Merging and appending datasets Part 3: Stata Programming Local and global variables (macros) Looping (foreach, forvalues) Reshaping data between wide and long formats Recalling and using command output Generating nicely formatted journal-style tables Prior knowledge: A basic understanding of variables (nominal, ordinal, continuous), descriptive stats (mean, standard deviation), correlation, and regression will be assumed. Technology requirement: Please bring a laptop with Stata installed. You can install a trial version of Stata. Please arrive 15 minutes early for installation assistance. Workshop materials: https://github.com/dlab-berkeley/stata-fundamentals

By Design: Graphics & Images Basics [Library]

See organizers' website for details. In this hands-on workshop, we will learn how to create web graphics for your digital publishing projects and websites. We will cover topics such as: image editing tools in Photoshop; image resolution for the web; sources for free public domain and Creative Commons images; and image upload to publishing tools such as WordPress. If possible, please install Photoshop in advance. (All UCB faculty and students can receive a free Adobe Creative Suite license: https://software.berkeley.edu/adobe(link is external)).

So You’re Good at Math. Now What? [Career Center]

See organizers' website for details. Wondering what careers to explore as a Math major? Come with your questions and curiosities as this panel of professionals, all with a Math background, share their career paths and suggestions for what you can do while at Cal to establish a relevant career path that leverages your Major and coursework.