TOPIC
Statistical methods and data analysis
SUBTOPIC
Big Data systems organization and engineering
LANGUAGE
Spanish
ENROLL
On Demand
DURATION
27 h
TRAINER
Eurecat
Data analysis and statistical analysis methodologies are essential tasks for scientific research activity. The use of the R application, in addition to being freely accessible and free, constitutes a powerful analytical tool.
The course on Methodologies for Data Analysis in R provides knowledge about the basic characteristics of the different types and methods of research and the techniques used in each of the stages of this process. The main objective of the course is to provide participants with the necessary skills so that they can use statistical methods in the collection and analysis of geographic and other information with a high level of productivity. The objective of the action is to provide the participants with R software in the research process (Geography, Ecology, Health, Economy, Topography, Social Sciences, Utilities, Urbanism, Retail, among others).
The course on Methodologies for Data Analysis in R provides knowledge about the basic characteristics of the different types and methods of research and the techniques used in each of the stages of this process. The main objective of the course is to provide participants with the necessary skills so that they can use statistical methods in the collection and analysis of geographic and other information with a high level of productivity. The objective of the action is to provide the participants with R software in the research process (Geography, Ecology, Health, Economy, Topography, Social Sciences, Utilities, Urbanism, Retail, among others).
Keywords:
Big Data, Data Analysis, Data Analytics, Statistical methods
LEARNING OUTCOMES
Data analysis
TARGET AUDIENCE
Student
COURSE TYPE
Lecture
MATERIALS
dynamic exercises, learning by doing, Slides, videos, workshops
