Introduction to R Programming E-Learning

Order this unique E-Learning course Introduction to R Programming online!
✔️ 1 year 24/7 access to rich interactive videos, voice commands and progress monitoring via reports.
✔️ Direct feedback via tests per chapter to immediately test your knowledge.

Why choose this course?

R is a powerful and popular programming language specifically designed for statistical analysis and data visualization. This training provides an excellent introduction to the R language and will help you understand and apply statistical processing power to data sets. Whether you're a beginner in programming or want to expand your statistical skills, this course will give you a solid foundation for working effectively with R.

What you will learn:

• Introduction to R: Understand the basics of the R programming language and how it is used for data analysis.
• Working with datasets: Learn how to import, transform, and manipulate datasets using R.
• Statistical analyses: Perform various types of analyses, such as regression, correlation and analysis of variance.
• Data Visualization: Discover how to create clear and impactful graphs to present data insightfully.
• Programming skills in R: Develop basic skills in programming and automation within the R environment.

Who should participate?

This course is suitable for:

• Data analysts and scientists who want to learn how to use R for statistical analysis and data visualization.
• Students and academics who want to delve into statistics and data analysis using a programming language.
• Professionals in IT and business intelligence who want to make data-driven decisions using R.
• Novice programmers who want to learn an easy-to-use and powerful programming language.
• Anyone interested in processing and analyzing large data sets.

Course content

Introduction to R Programming

Introduction

Course: 53 Minutes

• Course Introduction
• Installing R
• Installing RStudio
• Introduction to the R Environment
• Introduction to Control Structures
• Introduction to Basic Data Types
• Introduction to Vectors and Matrices
• Using the CRAN: Comprehensive R Archive Network
• Creating Functions
• Generating Random Values

Debugging

Course: 12 Minutes

• Debugging with Traceback and Debug
• Debugging with Browser and Recover

Data Handling

Course: 23 Minutes

• Input and Output Functions
• Importing Data from a CSV Text File
• Importing Data from an Excel Spreadsheet
• Handling Missing Data
• Using the Built-In Datasets

Basic Statistics

Course: 31 Minutes

• Computing the Mean
• Computing the Median
• Computing the Mode
• Measuring Variance and Standard Deviation
• Measuring Median Absolute Deviation
• Measuring Covariance and Correlation
• Tabulating Data

Visualizing Data

Course: 32 Minutes

• Creating Pie Charts
• Creating Bar Plots
• Creating Box Plots
• Creating Histograms
• Creating Line Plots
• Creating Scatter Plots
• Exporting Graphics

Practice: Introduction to R Programming

Course: 10 Minutes

• Exercise: Introduction to R Programming10

Get started with Introduction to R Programming!

✔️ Learn at your own pace with interactive videos and exercises that guide you through the R language step by step.
✔️ Test your knowledge and improve your skills with chapter tests and progress reports.
✔️ Develop an essential skill that is becoming increasingly important in today's data-driven world.

Order your course now and discover the power of R Programming!