R Analytics

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Learn how to use R for data analysis and visualization. This course covers statistical techniques, data manipulation, and creating impactful graphics.

R Analytics Training Syllabus

Curriculum Designed by Experts

Data mining using Statistical packages
A few concepts before starting

How R works
Creating, listing and deleting the objects in memory
The on-line help

Data with R

Objects
Reading data in a_le
Saving data
Generating data
- Regular sequences
- Random sequences
Manipulating objects
- Creating objects
- Converting objects
- Operators
- Accessing the values of an object: the indexing system
- Accessing the values of an object with names
- The data editor
- Arithmetic and simple functions
- Matrix computation

Graphics with R

Managing graphics
- Opening several graphical devices
- Partitioning a graphic
Low-level plotting commands
Graphical parameters
A practical example
The grid and lattice packages

Statistical analyses with R

A simple example of analysis of variance
Formulae
Generic functions
GLM
E1071
KSVM
KNN
Dimensionality reduction

Programming with R in practice

Loops and vectorization
Writing a program in R
Writing your own functions

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