Bingxin Zhao

Current Courses (Fall 2022)

• STAT9910 - Sem In Adv Appl Of Stat

  This seminar will be taken by doctoral candidates after the completion of most of their coursework. Topics vary from year to year and are chosen from advance probability, statistical inference, robust methods, and decision theory with principal emphasis on applications.

  STAT9910301 ( Syllabus )

All Courses

• OIDD4770 - Intro To Python Data Sci

  The goal of this course is to introduce the Python programming language within the context of the closely related areas of statistics and data science. Students will develop a solid grasp of Python programming basics, as they are exposed to the entire data science workflow, starting from interacting with SQL databases to query and retrieve data, through data wrangling, reshaping, summarizing, analyzing and ultimately reporting their results. Competency in Python is a critical skill for students interested in data science. Prerequisites: No prior programming experience is expected, but statistics, through the level of multiple regression is required. This requirement may be fulfilled with Undergraduate courses such as Stat 1020, Stat 1120.

• STAT4770 - Intro To Python Data Sci

  The goal of this course is to introduce the Python programming language within the context of the closely related areas of statistics and data science. Students will develop a solid grasp of Python programming basics, as they are exposed to the entire data science workflow, starting from interacting with SQL databases to query and retrieve data, through data wrangling, reshaping, summarizing, analyzing and ultimately reporting their results. Competency in Python is a critical skill for students interested in data science. Prerequisites: No prior programming experience is expected, but statistics, through the level of multiple regression is required. This requirement may be fulfilled with Undergraduate courses such as Stat 1020, Stat 1120.

• STAT9910 - Sem in Adv Appl of Stat

  This seminar will be taken by doctoral candidates after the completion of most of their coursework. Topics vary from year to year and are chosen from advance probability, statistical inference, robust methods, and decision theory with principal emphasis on applications.

• STAT9990 - Independent Study

  Written permission of instructor and the department course coordinator required to enroll.

• Dean’s Distinguished Dissertation Award, The Graduate School, UNC-Chapel Hill, 2022 Description

  The highest level of graduate student scholarship at UNC-Chapel Hill

• Kupper Dissertation Publication Award, Department of Biostatistics, UNC-Chapel Hill, 2022 Description

  Recognition of the best doctoral dissertation-based paper appearing in a prestigious biostatistics journal completed during a calendar year

• ENAR Distinguished Student Paper Award, 2020