Data Science & Analytics

EDUCATION

• Ph.D, SUNY, University at Buffalo in Epidemiology and Community Health
• MA SUNY, University at Buffalo in Statistics
• MSc University of Delhi 

ABOUT

• Chaitali Ghosh, associate professor, research interest is in the area of women's health with a particular focus on the application of statistical methods in epidemiologic analysis. 
• Chaitali has taught or authored the following courses:

  • MAT 311 (Introductory Probability and Statistics): for non-math majors. MAT 325 (Probability and Statistics-authored course): calculus based course for mfoartfhoerdmuactahtisoencmonadjoarys.

  • MAT 381 (Probability Theory): calculus based course for all math majors.

  • MAT 382 (Mathematical Statistics): calculus based course for all math majors.

  • MAT 383 (Applied Statistics I-authored course): for all math majors.

  • MAT 484 (Applied Statistics II-authored course): for all math majors.

  • MAT 683 (Statistical Theory): for graduate math education students.

  • ACM 640 (Regression and Correlation); ACM 641 (Design and Analysis of Experiments); ACM 642 (Nonparametric Statistics)-authored all three course modules: courses for graduate Professional Applied and Computational Mathematics students.

  • ACM 660 (Logistic Regression); ACM 661 (Survival Analysis); ACM 662 (Time Series Analysis and Forecasting)-authored all three course modules: courses for graduate Professional Applied and Computational Mathematics students.

  • MAT 646 (Introduction to Statistics for Data Science-authored course): course for the new graduate Professional Science Masters in Data Analytics.

  • MPH 602 (Principles of Biostatistics): course for the Masters in Public Health program at SUNY Upstate Medical University, Syracuse, NY (Summer Course).