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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Acerca de este Curso
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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
Week 1
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Week 4
Reseñas
- 5 stars74,15 %
- 4 stars21,25 %
- 3 stars3,40 %
- 2 stars0,74 %
- 1 star0,43 %
Principales reseñas sobre ANÁLISIS EXPLORATORIO DE DATOS
The dimension reduction technique was so robust, typically, this course detailed the critical parts regarding the data pre-processing. It is pivotal for the downstream analysis.
Nice course, but too much focus on "R" as a tool.... Industries don't use R as much... The course must be made more generic and independent of R - understand it is not easy to do but ....
This is a great course. The basics are explained very clearly and very easy to understand. I highly recommend this course for those who wish to start in Data Analyst / Data Science track.
The course is interesting and the content is relevant. I do think that there are some issues with project 2 though. I did provide feedback on that to the course administrators.
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