100% Course Off - R Programming - R Programming Language Beginners to Pro

R Programming Language Course Suitable For Everyone, Learn R Data Structures, R Graphics, R Statistical Analysis & Mores

Summary

Master R Programming: From Beginner to Pro

What You’ll Learn

Understanding R Programming Language: Grasp the basics and intricacies of R, a powerful language widely used in data science and statistical computing.
Fundamentals of R Programming: Dive into the fundamental syntax, including variables, data types (numeric, character, logical), vectors, and basic operations.
R Data Structures: Explore essential data structures such as vectors, matrices, arrays, lists, and data frames. Learn how to create, manipulate, and access elements within these structures.
R Statistical Analysis: Conduct statistical analysis using R’s rich set of built-in functions.
Plotting Data in R: Learn to visualize data using various plotting techniques like line graphs, scatter plots, and bar charts.
Develop Your Own Functions: Write custom functions to automate repetitive tasks and streamline your data analysis processes.
Analyzing Real Datasets: Apply your skills to analyze real-world datasets, gaining practical experience.
R Graphics: Create compelling graphics to effectively communicate your data insights.

Requirements

No prior knowledge of R is required. This course is designed for anyone interested in becoming a data analyst or data scientist.

Course Description

Welcome to the “R Programming – R Programming Language Beginners to Pro” course! Whether you’re starting from scratch or expanding your programming expertise, this comprehensive course is designed to elevate you from a novice to a proficient user of R.

Course Highlights

Introduction to R Programming:
- Learn the basic syntax and structure of R.
- Understand how to set up and use RStudio, the most popular integrated development environment (IDE) for R.
Fundamentals of R:
- Variables and data types: Numeric, character, and logical.
- Basic operations: Mathematical calculations and string manipulations.
- Control structures: If statements, nested if, for loops, and nested loops.
R Data Structures:
- Vectors: Creation, manipulation, and operations.
- Matrices and Arrays: Handling multi-dimensional data.
- Lists and Data Frames: Managing complex data sets.
- Factors: Working with categorical data.
Data Analysis and Statistics:
- Introduction to statistical concepts: Mean, median, mode, max, and min.
- Performing basic statistical analysis and calculations.
- Analyzing datasets to extract meaningful insights.
Data Visualization:
- Plotting basics: Line graphs, scatter plots, and bar charts.
- Advanced plotting techniques to create detailed and informative visualizations.
Developing Functions:
- Writing custom functions to perform repetitive tasks.
- Understanding recursion and how to implement recursive functions.
Practical Applications:
- Hands-on projects analyzing real datasets.
- Practical exercises to reinforce learning and build confidence.

End-of-Course Skills

By the end of this course, you will have the skills and confidence to tackle data analysis, visualization, and statistical modeling tasks using R. You will be able to:

Write and execute R code efficiently.
Manipulate and analyze data using R’s powerful data structures.
Perform statistical analysis and visualize data effectively.
Develop custom functions to enhance your R programming capabilities.

Who This Course is For

Aspiring Data Analysts: Those looking to enter the field of data analysis and need a solid foundation in R.
Data Engineers: Professionals aiming to enhance their data manipulation and analysis skills.
Statisticians: Experts who want to leverage R for advanced statistical computing.
Software Engineers: Developers looking to expand their skillset into data science and statistical analysis.

Join Us

Embark on this exciting journey into the world of R programming. Unlock the full potential of your data with R and transform your career prospects. Enroll now in the “R Programming – R Programming Language Beginners to Pro” course and take the first step towards becoming a proficient R programmer!

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

Requirements

No Prior Knowledge is Required.
Anyone Interested To Become a Data Analyst or Data Scientist.

Description

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!