Online Stats Help
Online Statistical Support
Advanced graduate students are available to answer your statistical analysis and programming questions virtually through Slack, Microsoft Teams and Zoom. You can also reach the desk via email at odum.lab.consultants@unc.edu. Information on how to connect to our different channels can be found below.
Use the table below to find the help desk consultant best-suited to answer your research questions:
Spring 2021 (January 4 - May 16) | MONDAY | TUESDAY | WEDNESDAY | THURSDAY | FRIDAY |
---|---|---|---|---|---|
10:00AM - 12:00PM | JonathanMedia and Communication R, Python, SQL, SPSS, Tableau, ArcGIS, Topic Modeling, Machine Learning, Data Mining, Clustering Models, NLP, Text Mining, Network Analysis, GIS, Remote Sensing, Statistics | BaileyEpidemiology Regression (all types), Weighted survey data, Survival analysis, SAS, Stata, Excel | JonathanMedia and Communication R, Python, SQL, SPSS, Tableau, ArcGIS, Topic Modeling, Machine Learning, Data Mining, Clustering Models, NLP, Text Mining, Network Analysis, GIS, Remote Sensing, Statistics | JonathanMedia and Communication R, Python, SQL, SPSS, Tableau, ArcGIS, Topic Modeling, Machine Learning, Data Mining, Clustering Models, NLP, Text Mining, Network Analysis, GIS, Remote Sensing, Statistics | DeniseEpidemiology OLS, GLM, Longitudinal Data, Multilevel Modeling, Survival Analysis, SAS, R, Excel |
12:00PM - 2:00PM | JonathanMedia and Communication R, Python, SQL, SPSS, Tableau, ArcGIS, Topic Modeling, Machine Learning, Data Mining, Clustering Models, NLP, Text Mining, Network Analysis, GIS, Remote Sensing, Statistics | KylePolitical Science Multiple Regression (OLS, GLM, Multi-level Modeling); Time Series Analysis (ARIMA, VAR, ADL, ECM); Causal Inference; Social Network Analysis; Web-scraping; Measurement Models (IRT, Topic Models); Machine Learning; Python; R; LaTeX; SPSS | KylePolitical Science Multiple Regression (OLS, GLM, Multi-level Modeling); Time Series Analysis (ARIMA, VAR, ADL, ECM); Causal Inference; Social Network Analysis; Web-scraping; Measurement Models (IRT, Topic Models); Machine Learning; Python; R; LaTeX; SPSS | JonathanMedia and Communication R, Python, SQL, SPSS, Tableau, ArcGIS, Topic Modeling, Machine Learning, Data Mining, Clustering Models, NLP, Text Mining, Network Analysis, GIS, Remote Sensing, Statistics | BaileyEpidemiology Regression (all types), Weighted survey data, Survival analysis, SAS, Stata, Excel |
2:00PM - 4:00PM | BaileyEpidemiology Regression (all types), Weighted survey data, Survival analysis, SAS, Stata, Excel | BaileyEpidemiology Regression (all types), Weighted survey data, Survival analysis, SAS, Stata, Excel | BaileyEpidemiology Regression (all types), Weighted survey data, Survival analysis, SAS, Stata, Excel | BaileyEpidemiology Regression (all types), Weighted survey data, Survival analysis, SAS, Stata, Excel | DeniseEpidemiology OLS, GLM, Longitudinal Data, Multilevel Modeling, Survival Analysis, SAS, R, Excel |
Get connected:
Slack:
- First, join our Odum consulting Slack workspace.
- Next, visit the Stats Desk channel to submit questions.
- Finally, use these articles to leave the workspace, leave the channel or mute notifications once your session is complete.
Microsoft Teams:
- Chat with consultants by joining the Stats Desk Team.
- Finally, use these articles to leave the Team or change your notifications settings.
- Mac users occasionally have trouble with the desktop client. If that is the case, we encourage you to try the browser app instead.
- Teams should be used when sharing sensitive data. Once you explain your needs to the consultant, they can help you share your data via a private message or folder.***
Zoom:
- Each consultant has a personal meeting room on Zoom with a waiting room enabled. Individual consultants will share their Zoom IDs as needed after first discussing your needs in one of the two channels above.
If you have trouble accessing any of these channels, please email oduminstitute@unc.edu. If your email is not answered in a timely manner, please contact Rocky Riviella at riviella@email.unc.edu.