Fall 2009 Workshops on statistical software
The StatLab is now offering our Fall 2009 statistical software and methods workshops.
Space is
limited to 25 seats.
All workshops meet on Fridays from 1:30-3:30pm in the Main StatLab, 140
Prospect Street, Room 101.
Click here to register or here for a Printable Workshop
Flyer.
| Sessions and Dates | Description | |
|---|---|---|
| Introduction to Minitab | September 11th | This workshop will meet from 1-3:15. Minitab is the default program for many of the introduction to Statistics courses at Yale. This workshop presents an overview of the package and is aimed at students enrolled in the class. |
| Introduction to R | September 18th | R is a free, open source development language for statistical computing and graphics. Because of its price and large development community, R is quickly becoming the statistical application of choice at Yale. R has add-ons for GIS, graphing, advanced statistics, econometrics, image analysis and more. This class offers an extremely basic introduction to the programming language and resources available. Basic statistical understanding is expected. |
| Finding and Working with Data | September 25th | "Finding and Working with Data" will be co-taught by Stefan Kramer, Data Librarian. We will discuss how to use the library and web to find and/or acquire electronic data. We will focus on relating different data sources for analysis. This class will be especially helpful for students starting projects using survey, census, and other social science data resources. |
| Introduction to Research Design | October 2nd | This workshop helps determine what data to gather and how to gather that information. Topics will include: determining your audience, basic survey design, statistical significance, sample size, independent vs dependent variables, and correlation vs. causation. Basic statistical understanding is *not* expected. |
| Overview of GIS using ESRI ArcGIS (taught with Map Library) |
October 9th | This workshop will meet from 1-4pm in the Bass Library L06. A general (and brief) introduction to some of the issues in GIS including how to create and use spatial data. This is a hands-on class with the software and will cover geocoding, aka putting street addresses on a map. See the map library for more information. |
| Introduction to Stata |
October 16th | Stata is a popular integrated statistical program used by academic researchers across campus, especially in economics, political science, and EPH. This class offers a very basic introduction to the application GUI and coding mechanisms. Basic statistical understanding is expected. |
| Introduction to SPSS | October 23rd | SPSS is a flexible and user-friendly statistical software package known for its graphics, quick assessment tools and easy programming language. SPSS also works directly with Excel files. Widely used in all of the social sciences, SPSS offers add-ons which enable qualitative analysis, missing values analysis, and Survey design. This class offers a very basic introduction to the application GUI and coding mechanisms. Basic statistical understanding is expected but not necessary. |
| Introduction to Matlab |
October 30th | MATLAB (MATrix LABoratory) is comprised of a high-level language and interactive environment with a relatively shallow learning curve when compared to traditional programming languages such as C, C++, and Fortran. MatLab is the de facto application for econometrics and visual modeling of algorithms. This class offers a very basic introduction to the application GUI and coding mechanisms. Basic statistical understanding is expected. |
| Introduction to LaTeX | November 6th | By popular demand! LaTeX is the document preparation system most commonly used for scientific and quantitative publishing. See the LaTeX Project Page for more information. This workshop will provide an introduction to different LaTeX environments and workflows. We will discuss several standards for publishing, presentation and document management. |
| Introduction to SAS | November 13th | SAS is an extremely powerful suite of statistical and data mining packages that can be very useful - when not overwhelming. SAS is the gold standard in publishing for clinical, medical and marketing data analysis. SAS is also available for free for Yale Students. This class offers a very basic introduction to the application GUI and coding mechanisms. Basic statistical understanding is expected. |
See our current and previous Workshop Handouts.
After workshops, please give us Feedback. Thank you.
For more information send an email to stathelp@yale.edu or call (203) 432-3278.