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HarvardX: Data Science: Linear Regression

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Learn how to use R to implement linear regression, one of the most common statistical modeling approaches in data science.

Data Science: Linear Regression
8 semanas
1–2 horas por semana
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Comienza el 22 nov
Termina el 18 dic
Comienza el 22 nov
Comienza el 16 abr 2025

Sobre este curso

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Linear regression is commonly used to quantify the relationship between two or more variables. It is also used to adjust for confounding. This course, part ofourProfessional Certificate Program in Data Science, covers how to implement linear regression and adjust for confounding in practice using R.

In data science applications, it is very common to be interested in the relationship between two or more variables. The motivating case study we examine in this course relates to the data-driven approach used to construct baseball teams described in Moneyball. We will try to determine which measured outcomes best predict baseball runs by using linear regression.

We will also examine confounding, where extraneous variables affect the relationship between two or more other variables, leading to spurious associations. Linear regression is a powerful technique for removing confounders, but it is not a magical process. It is essential to understand when it is appropriate to use, and this course will teach you when to apply this technique.

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  • Language English
  • Video Transcripts اَلْعَرَبِيَّةُ, Deutsch, English, Español, Français, हिन्दी, Bahasa Indonesia, Português, Kiswahili, తెలుగు, Türkçe, 中文
  • Associated programs
  • Associated skillsData Science, Statistical Modeling, Linear Regression

Lo que aprenderás

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  • How linear regression was originally developed by Galton
  • What is confounding and how to detect it
  • How to examine the relationships between variables by implementing linear regression in R

Preguntas frecuentes

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Research statement
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Nondiscrimination/anti-harassment statement
Harvard University and HarvardX are committed to maintaining a safe and healthy educational and work environment in which no member of the community is excluded from participation in, denied the benefits of, or subjected to discrimination or harassment in our program. All members of the HarvardX community are expected to abide by Harvard policies on nondiscrimination, including sexual harassment, and the edX Terms of Service. If you have any questions or concerns, please contact harvardx@harvard.edu and/or report your experience through the edX contact form.

Este curso es parte del programa Data Science Professional Certificate

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Instrucción por expertos
9 cursos de capacitación
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1 año 5 meses
2 - 3 horas semanales

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