English | Size: 2.46 GB
Genre: eLearning
R Programming Language Course Suitable For Everyone, Learn R Data Structures, R Graphics, R Statistical Analysis & Mores
What you’ll learn
Understanding R Programming Language
Learn Fundamentals of R Programming
R Data Structures
R Statistical Analysis
Plotting Data Using in R
Develop Your Own Functions
Analyzing Real Datasets
R Graphics
Welcome to the R Programming – R Programming Language Beginners to Pro course! Whether you’re a complete novice or an experienced programmer looking to expand your skills, this comprehensive course is designed to take you from beginner to proficient user in R programming.
Dive into the fundamental syntax of R programming, including variables, data types (numeric, character, logical), vectors, and basic operations. Learn how to write and execute R code in the RStudio console. Explore R’s essential data structures, including vectors, matrices, arrays, lists, and data frames. Understand how to create, manipulate, and access elements in each data structure.
R is a powerful and versatile programming language widely used for statistical computing, data analysis, and visualization. In this course, you’ll learn everything you need to know to harness the full potential of R, from basic concepts to advanced techniques.
Here’s an overview of what you can expect to learn:
Comments
Concatenate Elements
Data Types
Math
Strings
Escape Characters
Booleans or Logical Values
Operators
Nested If
AND OR Operators
For Loop
Nested Loops
Functions
Recursion
Lists
Matrices
Arrays
Data Frames
Factors
Line
Scatter Plot
Bar Charts
Introduction of Statistics
Data Set
Max and Min
Mean
Median
Mode
End of this course, you’ll have the skills and confidence to tackle data analysis, visualization, and statistical modeling tasks using R, positioning yourself as a proficient R programmer. Join us on this exciting journey into the world of R programming, and let’s unlock the full potential of data with R together!
Who this course is for:
Anyone Can Want To Learn R Programming Language
Data Analysts
Data Engineers
Statisticians
Software Engineering
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