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Online Statistical Support


Advanced graduate students are available to answer your statistical analysis and programming questions virtually through Slack, Microsoft Teams and Zoom. Information on how to connect to our different channels can be found below.

Get connected:

Slack:

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.

Use the table below to find the help desk consultant best-suited to answer your research questions (There will be NO consulting hours during Wellness Days or University Holidays):

Summer 2021 (May 17 - August 13) - No hours during Univ HolidaysMONDAY
TUESDAY
WEDNESDAY
THURSDAYFRIDAY
12:00PM - 2:00PMJonathan Media 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
Kyle Political Science
Multiple Regression (OLS, GLM, Multi-level Modeling), Time Series Analysis, Causal Inference, Social Network Analysis, Bayesian Statistics,
Web-scraping,
Measurement Models, Machine Learning, Web-scraping and Data Wrangling, Python, R, Stan, LaTeX, SPSS
Jonathan Media 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
Denise Epidemiology
OLS, GLM,
Longitudinal Data, Multilevel Modeling, Survival Analysis,
SAS, R, Excel
Denise Epidemiology
OLS, GLM,
Longitudinal Data, Multilevel Modeling, Survival Analysis,
SAS, R, Excel
2:00PM - 4:00PMKyle Political Science
Multiple Regression (OLS, GLM, Multi-level Modeling), Time Series Analysis, Causal Inference, Social Network Analysis, Bayesian Statistics,
Web-scraping,
Measurement Models, Machine Learning, Web-scraping and Data Wrangling, Python, R, Stan, LaTeX, SPSS
Jonathan Media 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
Kyle Political Science
Multiple Regression (OLS, GLM, Multi-level Modeling), Time Series Analysis, Causal Inference, Social Network Analysis, Bayesian Statistics,
Web-scraping,
Measurement Models, Machine Learning, Web-scraping and Data Wrangling, Python, R, Stan, LaTeX, SPSS
Bailey
Epidemiology
Regression (all types), Weighted survey data, Survival analysis, SAS, Stata, Excel
Bailey
Epidemiology
Regression (all types), Weighted survey data, Survival analysis, SAS, Stata, Excel

 

If you have trouble accessing any of the above 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.