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Cómo combinar y analizar datos complejos
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Cómo combinar y analizar datos complejos

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University of Maryland, College Park 4.9/5 based on 87 reviews Updated August 13, 2026· es

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FREE-TRIAL

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Course Highlights

  • Full lifetime access to every lesson
  • Hours of on-demand HD video content
  • Certificate of completion included
  • Downloadable resources and practical projects
  • Access on mobile, tablet and TV

Who is Cómo combinar y analizar datos complejos for?

  • Career switchers testing whether this field is the right direction before committing money.
  • Working professionals refreshing practical this field skills between projects.
  • Anyone who learns faster by following along than by reading documentation.

Cómo combinar y analizar datos complejos: Overview & Verdict

En este curso, aprenderás a usar las ponderaciones de las encuestas para estimar estadísticas descriptivas (como medias y totales) y cantidades más complejas (como parámetros de modelos para regresiones lineales y logísticas). Se explicarán las capacidades de software, haciendo especial hincapié en R®. El curso también abarcará nociones básicas sobre vinculación de registros y búsqueda de coincidencias estadísticas, dos procesos que son cada vez más importantes para combinar datos de fuentes d

Enrollment through Coursera includes the Q&A thread, where earlier students have already answered most of the questions newcomers run into.

It is taught by University of Maryland, College Park, delivered in es — useful context when you are deciding whether Cómo combinar y analizar datos complejos fits the time you have this week.

What you need before starting

  • A free Coursera account (takes under a minute to create)
  • A laptop, tablet or phone with a stable internet connection
  • Willingness to pause the video and repeat each exercise yourself

About University of Maryland, College Park

University of Maryland, College Park teaches Cómo combinar y analizar datos complejos. The lessons follow a consistent structure and the Q&A section stays active, which is a good signal of ongoing support.

Our verdict: For anyone starting out in this field, this is the cheapest low-risk way to test whether the subject suits you. Enroll now even if you plan to start later — access stays with your account after the coupon expires.

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