This course covers essential exploratory techniques for summarizing data. As usual, These techniques are applied before formal modeling begins and can help inform the development of more complex statistical models.. Exploratory techniques are also important to erase or refine possible hypotheses about the world that the data can address.. We will cover R tracing systems in detail., as well as some of the basic principles of data graph construction. Además cubriremos algunas de las técnicas estadísticas multivariadas comunes que se usan para visualizar datos de alta dimension"Dimension" It is a term that is used in various disciplines, such as physics, Mathematics and philosophy. It refers to the extent to which an object or phenomenon can be analyzed or described. In physics, for instance, there is talk of spatial and temporal dimensions, while in mathematics it can refer to the number of coordinates necessary to represent a space. Understanding it is fundamental to the study and....
After successfully completing this course, may
- Visualize data using base plotting systems, lattice and ggplot2 in R,
- Apply basic data charting principles to create rich analytical charts from different types of data sets.
- Construct exploratory summaries of data in support of a specific question, Y
- Create multidimensional data visualizations using multivariate exploratory statistical techniques.
Duration:- 4 weeks
3-5 hours per week
Halftime, full time: – Part time
Rate: – 3259 INR per month
Important date:
Course start date: 31 October 2016
