Susanna Lange

Susanna Lange
  • Lecturer in Statistics and Data Science

Contact Information

Teaching

Current Courses (Summer 2026)

  • 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 )

All Courses

  • 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.

Knowledge at Wharton

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Wharton professor of management discusses why America’s greatest innovation may be the institutions that transform breakthrough ideas into industries.Read More

Knowledge @ Wharton - 7/3/2026
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Kate Metzinger on how authentic storytelling, brand strategy, and AI are transforming health care marketing.Read More

Knowledge @ Wharton - 7/2/2026
Navigating Competition and Collaboration in the AI Race

Associate professor of management explains how healthy competition can evolve into destructive rivalry, why collaboration often coexists with competition, and what the AI industry can learn from these dynamics.Read More

Knowledge @ Wharton - 7/1/2026