Shuva Gupta

Shuva Gupta
  • Senior Lecturer in Statistics and Data Science

Contact Information

  • office Address:

    331 Academic Research Building
    265 South 37th Street
    Philadelphia, PA 19104

Research Interests: Theory and Methods: Penalized methods in high dimensional data analysis, variable selection, nonparametric statistics.
Application: Statistical analysis of genomic and toxicology data.

Teaching

Current Courses (Summer 2025)

  • STAT0001 - Intro To Stat & Data Sci

    In this course, we will learn introductory statistics using R with a focus on the application of statistical thinking to business problems. We will learn basic statistical concepts such as mean, variance, quantiles and hypothesis testing, and basic R programming for data management and analysis. We will work with traditional R's data, frame structure as well as the modern tibbles structure. Prerequisite: Percentages, average, powers, exponential, linear equation of a line, polynomials.

    STAT0001920 ( Syllabus )

  • STAT4300 - Probability

    Discrete and continuous sample spaces and probability; random variables, distributions, independence; expectation and generating functions; Markov chains and recurrence theory.

    STAT4300910 ( Syllabus )

All Courses

  • COGS3998 - Senior Thesis

    This course is a directed study intended for cognitive science majors who have been admitted to the cognitive science honors program. Upon admission into the program, students may register for this course under the direction of their thesis supervisor.

  • STAT0001 - Intro To Stat & Data Sci

    In this course, we will learn introductory statistics using R with a focus on the application of statistical thinking to business problems. We will learn basic statistical concepts such as mean, variance, quantiles and hypothesis testing, and basic R programming for data management and analysis. We will work with traditional R's data, frame structure as well as the modern tibbles structure. Prerequisite: Percentages, average, powers, exponential, linear equation of a line, polynomials.

  • STAT1010 - Intro Business Stat

    Data summaries and descriptive statistics; introduction to a statistical computer package; Probability: distributions, expectation, variance, covariance, portfolios, central limit theorem; statistical inference of univariate data; Statistical inference for bivariate data: inference for intrinsically linear simple regression models. This course will have a business focus, but is not inappropriate for students in the college. This course may be taken concurrently with the prerequisite with instructor permission.

  • STAT1020 - Intro Business Stat

    Continuation of STAT 1010 or STAT 1018. A thorough treatment of multiple regression, model selection, analysis of variance, linear logistic regression; introduction to time series. Business applications. This course may be taken concurrently with the prerequisite with instructor permission.

  • STAT4300 - Probability

    Discrete and continuous sample spaces and probability; random variables, distributions, independence; expectation and generating functions; Markov chains and recurrence theory.

Awards and Honors

  • Wharton Undergraduate Teaching Excellence Award, 2021

Knowledge at Wharton

Automatic Enrollment, Tax Fears, and the 401(k) Surge

Professor and director of the Pension Research Council at the Wharton School breaks down new data on rising 401(k) contributions, the influence of automatic enrollment, and the savings behaviors of younger generations.…Read More

Knowledge @ Wharton - 7/9/2025
How Minimum Wages and Taxes Can Combat Income Inequality

The ideal way to reduce income inequality is to use minimum wages and income taxes in a complementary way instead of one substituting the other, according to new Wharton research.…Read More

Knowledge @ Wharton - 7/8/2025
A Simple Way to Boost Math Progress in Elementary School

Researchers from Penn’s Behavior Change for Good Initiative and their collaborators conducted a megastudy to investigate whether low-cost nudges — informed by behavioral science — could help teachers accelerate student progress in math.…Read More

Knowledge @ Wharton - 7/8/2025