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Statistical Software Support and Consulting: Workshops

UVM Statistical Consulting offers workshops on a variety of data related topics. Check out the calendar below to find upcoming events.

Calendar

Upcoming Events

Jul
16
12:00pm
Statistical Computing with RStudio - Regression for binary and categorical outcomes
16 attending
Jul
23
12:00pm
Statistical Computing with RStudio - Repeated measures
11 attending
Aug
7
9:00am
Coffee and Code - Summer Edition

Statistician

Contact

Office:   Howe Library, Room 115
Phone:   802-656-2009
Email:  maria.sckolnick@uvm.edu

Random Chats About Data

Random Chats About Data are in person events only. Through conversations and discussions we broaden our understanding of a data analysis topic. Talking about the big concepts as well as the nuances gives insight on how to apply these bigger ideas to our own data project. You will get comfortable with detailed aspects of data analysis. Please come prepared to talk about your own specific data questions.

Check out current offerings in the event calendar or contact me for a custom workshop.

Can't make it on campus? - Sign up for a one-on-one online session with me to discuss your statistics and data analysis questions.

Statistical Computing and Coding Workshops

Learn and strengthen statistical coding skills. Sessions can be customized for R, SAS, STATA or SPSS users. Online or in-person formats are available.

Example topics
Getting started with statistical coding in R or SAS or STATA - Data summaries - Data wrangling - Functions - Graphing - Linear models: concepts, validation, interpretation - Categorical data methods - Ordination


Check out current offerings in the event calendar or contact me for a custom workshop.

Custom Workshops

If you would like me to come to your lab or department for a custom workshop, please contact me to discuss your needs.

maria.sckolnick@uvm.edu

Workshop Topics

AI supported Data Analysis

During this workshop we will chat about how best to leverage AI to help write code for statistical analysis. We will discuss validity, reliability, reproducibility and data safety. 

Variable Selection

During this workshop we will discuss pros and cons of methods to approach data sets that have an overabundance of variables, such as stepwise selection, penalized regression and PCA.

What is a good model for the data?

During this workshop we will discuss how to approach the choice of an appropriate data analysis, how to check assumptions and how to assess goodness-of-fit as well as validity. 

 

Data Projection and Ordination

During this workshop we will learn when and how to use data projection and ordination methods such as PCA and NMDA.

Stickfigure contemplating how to do data ordination

Non-parametric data analysis methods

During this workshop we will discuss methods for data that do not follow a known distribution.