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

5.00 (2 reviews)
Udemy
platform
English
language
Web Development
category
instructor
R Programming - R Programming Language Beginners to Pro
3,001
students
6.5 hours
content
Mar 2024
last update
$54.99
regular price

What you will 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

Why take this course?

šŸŽ“ **R Programming Language Course - Beginners to Pro** --- ### **Course Headline:** šŸš€ "R Programming Language Course Suitable For Everyone - Learn R Data Structures, R Graphics, R Statistical Analysis & More!" šŸš€ --- ### **Course Description:** Welcome to the **R Programming - R Programming Language Beginners to Pro course**! šŸ±ā€šŸ« Whether you're a complete novice or an experienced programmer looking to expand your skills, this comprehensive course is designed to take you from a beginner to a proficient user in R programming. This journey through the world of R will guide you through the fundamental syntax and core concepts of this powerful tool for statistical computing and graphics. You'll start with the basics like variables, data types (numeric, character, logical), vectors, and basic operations. We'll then explore more complex topics including data structures, visualization techniques, and advanced statistical analysis. --- ### **What You Will Learn:** Here's an overview of what you can expect to learn in this course: - **Comments**: Writing clean and understandable code with clear comments for documentation and clarity. - **Concatenate Elements**: Combining data elements to form a larger dataset or string. - **Data Types**: Understanding the different types of data R can handle, from numbers to strings, and everything in between. - **Math**: Performing arithmetic operations and calculations within the R environment. - **Strings**: Manipulating and analyzing text data with ease. - **Escape Characters**: Learning how to include special characters in your code without causing errors. - **Booleans or Logical Values**: Utilizing logical tests to filter data or control the flow of your programs. - **Operators**: Mastering arithmetic, assignment, comparison, and logical operators. - **Nested If**: Applying conditional statements within other conditions to make complex decisions. - **AND OR Operators**: Using logical operators to create more nuanced conditions in your code. - **For Loop**: Iterating over data or executing a block of code multiple times. - **Nested Loops**: Combining loops for more complex iteration patterns. - **Functions**: Defining and using custom functions to streamline your workflow. - **Recursion**: Solving problems by repeating operations in a controlled, iterative manner. - **Lists**: Organizing data in a flexible, ordered collection of elements. - **Matrices**: Working with two-dimensional arrays for efficient data storage and computation. - **Arrays**: Understanding and manipulating multidimensional data structures. - **Data Frames**: Mastering the primary data structure in R for storing tabular data with rows and columns. - **Factors**: Learning to represent categorical data efficiently. - **Line**: Plotting a single point on a graph. - **Scatter Plot**: Visualizing relationships between two variables. - **Bar Charts**: Illustrating discrete categories with visual bars for comparison. - **Introduction of Statistics**: Getting to grips with the fundamental concepts in statistics that are essential for data analysis. - **Data Set**: Learning how to work with datasets, including importing and cleaning data. - **Max and Min**: Identifying the highest and lowest values within your dataset. - **Mean**: Calculating the arithmetic average of a set of numbers. - **Median**: Finding the middle value in a dataset. - **Mode**: Determining the most frequently occurring value(s) in a dataset. --- ### **Your Learning Path:** By the end of this course, you'll have the skills and confidence to tackle data analysis, visualization, and statistical modeling tasks using R. You'll position yourself as a proficient R programmer, ready to take on real-world data challenges and unlock the full potential of data with R. šŸ’» Join us on this exciting journey into the world of R programming, where each step is designed to build upon the last, ensuring you have a solid foundation before moving on to more complex topics. Let's embark on this path together and elevate your data handling capabilities to new heights! šŸš€ --- Enroll now and transform your approach to data with R programming! šŸŽ‰šŸ“ŠšŸ”¢

Screenshots

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5890956
udemy ID
3/25/2024
course created date
4/2/2024
course indexed date
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