Statistical Consulting Lab (SCL)
Statistical Consulting Lab
The Statistical Consulting Lab is dedicated to offering free consulting on research and survey design, data collecting and administration, statistical analysis, and assessment to ETSU faculty, staff, and students. In addition, the Statistical Consulting Lab aims to give introductory training with commonly used data analysis tools and software.
| Day | 10am-11:30am | 11:30am-11:40am | 11:40am-1pm | 1pm-1:10pm | 1:10pm-2pm |
| Monday | Roni/Katie/Sekyiwah | Roni/Katie/Sekyiwah | Roni/Katie/Sekyiwah | Roni/Katie/Sekyiwah | Roni/Katie/Sekyiwah |
| Tuesday | Roni/Sekyiwah | Sekyiwah | Katie | Roni/Sekyiwah | |
| Wednesday | Roni/Sekyiwah | Roni/Sekyiwah | Roni/Sekyiwah | Roni/Sekyiwah | Roni/Sekyiwah |
| Thursday | Roni/Sekyiwah | Sekyiwah | Katie | Roni/Sekyiwah | |
| Friday | Roni/Katie/Sekyiwah | Roni/Katie/Sekyiwah | Roni/Katie/Sekyiwah | Roni/Katie/Sekyiwah |
Come Prepared!
- Research questions
- Description of variables
- Conceptual Description
- Data file
Contact Us!
Email: scl@etsu.edu
Phone: 423-439-6960 or 423-439-6980
Director: Mostafa Zahed, PH.D.
Address: 312 (or 308 T) Gilbreath Hall / PO Box 70663, Johnson City, TN 37614
Our Consultants (Past & Present!)
Current Consultants
Roni MD Raisul Islam
- Major: M.S. in Applied Data Science
- Areas of Expertise: Data and statistical analysis
- Proficient In: R, Python, SAS
Katie Thornton
- Major: M.S. in Applied Data Science
- Areas of Expertise: Statistical modeling: data wrangling and management; data visualization; applied statistics in biology/plant phenotping, health/survival, and nonprofit/animal welfare
- Proficient In: R, SAS, SQL, Python, C#, HTML, LaTeX, Microsoft Office, Looker Studio
Sekyiwaah Nuamah
- Program: M.S. in Applied Data Science
- Area of Expertise: Statistical Analysis and Data Visualization
- Proficient in : SAS and Python.
Past Consultants
Shanice Douglas (Fall 2024)
- Major: M.S. in Mathematicial Science
- Areas of Expertise: Statistial Modeling, Data Visualization and Data Management
- Proficient In: SAS, R and Python
Anna White (Fall 2024)
- Major: M.S. in Applied Data Science
- Areas of Expertise: Data and Statistical Analysis, Machine Learning and Real-World Data
- Proficient In: R and Python
Taylor Boles (Fall 2024-Spring 2025)
- Major: M.S. in Applied Data Science
- Areas of Expertise: Statistical Methods and Advanced Data Analytics
- Proficient In: R,C++and Python
Jonah Welch (Fall 2024)
- Major: M.S. in Applied Data Science
- Areas of Expertise: Data Analysis, Machine Learning, Sports or Nature Application, Exploratory Data Analysis and Business Analytics
- Proficient In: R, Python, Word, PowerPoint, Overleaf (Latex), Excel and Tableau
Eden Huhn (Fall 2024-Spring 2025)
- Major: M.S. in Applied Data Science
- Area of Expertise: Statistical Regression and Predictive Analytics
- Proficient In: Python and R
Inhwan Jung (Spring 2025-Fall 2025)
- Major: M.S. in Applied Data Science
- Areas of Expertise: Statistical analysis; data analysis
- Proficient In: Stata, SAS, R, Python
Princess Flora Naa Ayikaikor Tagoe (Spring 2025)
- Major: M.S. in Applied Data Science
- Area of Expertise: Statistical Analysis and Data Visualization
- Proficient In: R and Python
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