R programming analysis tool Training
R programming
Learn how to use the R language in a few days to quickly organize and process a large volume of data
French / English
Certificate
Overview
R is today the free software of reference for data processing. This
four-day training course opens the doors to the R language and all the subtleties of its use for data
for data science. You will leave this training with a mastery of
of the use and the basic principles of R software, the absolute reference in data analysis.
in data analysis. This training is also intended for users of other tools (SAS,
Matlab, Python) who want to learn about R as well as business users who want to discover this
software.
four-day training course opens the doors to the R language and all the subtleties of its use for data
for data science. You will leave this training with a mastery of
of the use and the basic principles of R software, the absolute reference in data analysis.
in data analysis. This training is also intended for users of other tools (SAS,
Matlab, Python) who want to learn about R as well as business users who want to discover this
software.
Prerequisite
Know the basics of descriptive and inferential statistical analysis
Be motivated to learn to develop skills that require a different approach than most statistical tools they may have used (no graphical interface, adoption of a computer programming attitude for data analysis)
Goals
Learn the fundamentals of data analysis with R
Be able to perform descriptive statistical analysis, graph data, explore and implement regression analysis, apply classical hypothesis testing
Establish the fundamental skills that allow for the development of more advanced skills on their own or through additional advanced training
Training Program
FIRST STEPS IN R
- R as software and as a language
- the main objects of the R language
- the RStudio interface
- the first steps in data processing: console and scripts
- the main objects of the R language
- the RStudio interface
- the first steps in data processing: console and scripts
WORKING WITH DATA
- data table formats
- inputs / outputs (local, web)
- configuring inputs / outputs
- using extensions
- configuring inputs / outputs
- using extensions
DESCRIPTIVE STATISTICS
- continuous / categorical / calendar variables
- Cross-tabulation of variables, contingency tables - creation of functions
- Cross-tabulation of variables, contingency tables - creation of functions
GRAPHS WITH R
- the different types of graphs
- the interface for calculations / graphs
- control of graphic parameters
- exporting images
- the interface for calculations / graphs
- control of graphic parameters
- exporting images
BASIC INFERENTIAL TOOLS
- comparison of averages
- comparison of frequencies, contingency tables
- comparison of frequencies, contingency tables
SYNTHESIS OF THE PRACTICES COVERED THROUGH A COMPLETE EXERCISE
- accessing data
- statistical calculations on data
- construction of graphs, graphical exploration, customization
- automation of analyses (scripting)
- statistical calculations on data
- construction of graphs, graphical exploration, customization
- automation of analyses (scripting)
Project
01.
Final project to be completed :
Produce using the R tool , an interpretation of the analyzed data for a satisfaction product for a given target.
