R Programming Training in Switzerland

In this course you will learn how to program in R and how to use R for effective data analysis. You will learn how to install and configure software necessary for a statistical programming environment and describe generic programming language concepts as they are implemented in a high-level statistical language. The course covers practical issues in statistical computing which includes programming in R, reading data into R, accessing R packages, writing R functions, debugging, profiling R code, and organizing and commenting R code. Topics in statistical data analysis will provide working examples.

There are no prerequisites for this course.

Data scientists, programmer and business analysts should attend.

• Collect detailed information using R profiler
• Configure statistical programming software
• Make use of R loop functions and debugging tools
• Understand critical programming language concepts 

1. Understanding of R System and installation and configuration of R-Environment and R-Studio

2. Understanding R Packages, their installation and management

3. Understanding of nuts and bolts of R:

               a. R program Structure

               b. R Data Type, Command Syntax and Control Structures

               c. File Operations in R

4. Application of R Programming in Daily life problems

5. Preparing Data in R

             a. Data Cleaning

             b. Data imputation

            c. Data conversion

6. Visualizing data using R with different type of graphs and charts

7. Applying R Advance features to solve complex problems and finetuning R Processes