R Programming A-Z
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COURSE DATES AND LOCATIONS
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INTRODUCTION
R is a programming language and environment that used in statistical computing, data analytics and scientific research. It is one of the most popular languages used by statisticians, data analysts, researchers and marketers to retrieve, clean, analyze, visualize and present data. Due to its expressive syntax and easy-to-use interface, it has grown in popularity recently.
By 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.
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COURSE OBJECTIVES
By the end of the course, you‘ll be able to:
- Understand critical programming language concepts
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Importing and Handling Large files Data in R
- Configure statistical programming software
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Fundamentals of R Programming
- Make use of R loop functions and debugging tools
- Collect detailed information using R profiler
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COURSE AUDIENCE
This course is made for :
- Data analyst
- Data science specialist
- Software developers
- Web application designers
- Architect
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COURSE OUTLINE
Day One
Introduction
- Installing R a MAC
- Installing R on Windows3m
- Installing R Studio
- R Objects and Attributes
Day Two
Programming with R
- Loops
- Functions
- Coding Standards
Day Three
Loop Functions
- Loops tools
- Debugging Tools
- Creating a data frame
- Data types in R
Day Four
Types of R Data
- Vectors
- Manipulating data in R
- Lists
- Matrix
Day Five
Data Structure
- Arithmetic with R
- Operators
- Matrices
- Data Frames
