This course covers the essential exploratory techniques for summarizing data. These techniques are typically applied before formal modeling commences and can help inform the development of more complex statistical models. Exploratory techniques are also important for eliminating or sharpening potential hypotheses about the world that can be addressed by the data. We will cover in detail the plotting systems in R as well as some of the basic principles of constructing data graphics. We will also cover some of the common multivariate statistical techniques used to visualize high-dimensional data.
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Prueba Coursera para negociosQué aprenderás
Understand analytic graphics and the base plotting system in R
Use advanced graphing systems such as the Lattice system
Make graphical displays of very high dimensional data
Apply cluster analysis techniques to locate patterns in data
Habilidades que obtendrás
- Cluster Analysis
- Ggplot2
- R Programming
- Exploratory Data Analysis
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Prueba Coursera para negociosOfrecido por
Programa - Qué aprenderás en este curso
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Reseñas
- 5 stars74,15 %
- 4 stars21,25 %
- 3 stars3,40 %
- 2 stars0,74 %
- 1 star0,43 %
Principales reseñas sobre ANÁLISIS EXPLORATORIO DE DATOS
This is a great introductory course on the topic and on R language.
You will get acquainted with basic R functions which are most useful for initial statistical analysis.
This was incredibly useful because it gives you a feel for the datasets and tools with which to explore them. I really wasn't aware of the base and lattice plotting systems until now.
I did learn more about putting together a set of graphs that help to explore the data. I did see how subsetting and aggregating data helps to give a better understanding of the data.
Awesome course that expands on your R knowledge. Only nitpick is that some of the links don't work and the videos need an overhaul as there seem to be little to no updates since 2015/2016.
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