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Online Stats Help

Online Statistical Support

Advanced graduate students are available to answer your statistical analysis and programing questions Monday through Friday during the hours noted in the schedule at the bottom of the page.

You can connect with consultants using Slack or Microsoft Teams. Information on how to connect to our channels is below.

Get connected:

Slack:

  • Join our Odum consulting Slack workspace.
  • Visit the #stats-help-desk channel during desk hours and post your question. If you need help with a specific topic (i.e. machine learning, NLP, time series) or are using a specific software (i.e. R, SAS, SPSS) please check the consultants’ specialties in the schedule below and post during their hours.
  • Consultants will discuss your needs with you and share their Zoom IDs as needed.
  • Finally, use these articles to leave the workspace, leave the channel or mute notifications once your session is complete.

 
Microsoft Teams:
**Mac users may 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 private message or folder.

  • Join the Stats Desk Team.
  • Post your question during desk hours.
  • If you need help with a specific topic (i.e. machine learning, NLP, time series) or are using a specific software (i.e. R, SAS, SPSS) please check the consultants’ specialties in the schedule below and post during their hours.
  • Consultants will discuss your needs with you and share their Zoom IDs as needed.
  • Finally, use these articles to leave the Team or change your notifications settings.

 

Use the table below to find the help desk consultant best-suited to answering your research questions:

Fall 2021 (September 7 - December 17) - No hours during Univ HolidaysMONDAY
TUESDAY
WEDNESDAY
THURSDAYFRIDAY
9:00AM - 11:30AMKyle
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		Jon (9am-2pm)
Social Work
R, Stata, SAS, Regression (OLS, GLM, Multilevel models), Mediation analysis, Healthcare and insurance claims data, Census data, Weighted survey data, Intervention research and program evaluation		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		Jon (9am-12pm)
Social Work
R, Stata, SAS, Regression (OLS, GLM, Multilevel models), Mediation analysis, Healthcare and insurance claims data, Census data, Weighted survey data, Intervention research and program evaluation		Jimmy (9am-12pm)
Information Science
Python, Microsoft SQL, SPSS
Afternoons (See times for specific consultant)Jonathan (12pm-3pm)
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		Bailey (2pm-4pm)
Epidemiology
Regression (all types), Weighted survey data, Survival analysis, SAS, Stata, Excel
Bailey (2pm-4pm)
Epidemiology
Regression (all types), Weighted survey data, Survival analysis, SAS, Stata, Excel
Jonathan (12pm-3pm)
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		Jonathan (12pm-3pm)
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

 

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.