
Begin your R programming basics by installing R and RStudio, downloading the software, and setting up an open source, Windows-based environment to start learning statistics.
Start your programming by setting up the compiler and base environment, run a console program, and explore essential tools used in this introductory session.
Begin by setting up the development environment for R programming basics, choosing 64-bit options, and restarting the IDE to start learning.
Learn how to create a simple hello world program and build a basic hollow application as an introduction to programming.
Explore variables and data types in R programming, showing how to store values, use integer, text, and boolean types, print results, and observe memory and number behavior.
Master data types conversion in R programming basics by converting numbers to strings and other types, and by handling conversion errors with practical examples.
Learn how to work with vectors in R: select the first element, index elements, and apply comparisons like less than two to filter results, then run code to view outcomes.
Learn to create and manipulate lists in R, store values of the same type, and access the first and fourth elements, practicing retrieving and modifying list entries.
This lecture teaches how to create and manipulate matrices in R, including defining a matrix, controlling rows and columns, printing, and retrieving values by position.
learn how to create data frames in R, define ID, names, and salary columns, and inspect or modify their structure and values through practical examples.
Learn how to frame your R program with data frames and strings, organize values, and arrange the top three components to build a practical calculator.
Explore arithmetic operators in the R programming basics course by performing subtraction, multiplication, and exponentiation to evaluate expressions and see results.
Explore relational operators in R to compare values, using equals, not equal, less than, greater than, and their combinations to yield true or false results.
Explore logical operators in R, understand and, or, and how truth values combine to produce true or false outcomes.
Learn to use if statements in R to make decisions from numeric comparisons, such as checking ranges like more than 23 and less than 70 or between 23 and 78.
Explore loops in R programming basics by using print statements to generate numbers from 1 to 1000 and apply loop structures to repeat tasks efficiently.
This lecture demonstrates using a while loop in R, starting a counter at zero and incrementing it until 1000, printing values along the way and noting risk of infinite loops.
Learn how to define and call functions in R, pass parameters, and return values, using a main function and printing results to show outputs.
Learn to build your own calculator by defining functions for add, subtract, multiply, and divide in R, then combine them to perform operations and return results.
Put everything together to create your own calculator in R by implementing addition and multiplication, running multiple cases, and reading results.
Put everything together to create your own calculator in R, covering basic arithmetic operations, running code, and handling integers and real numbers.
Learn how to import a csv file in r, read the data into variables, and inspect columns and separators to explore the dataset.
Learn to compute descriptive statistics in R using the summary() function, inspect data structures and basic numeric properties to summarize datasets quickly.
Master plotting graphs in R programming basics while practicing running commands and using control features safely.
#Master R Fundamentals Through Practical, Hands-On Building
Data drives modern decision-making across every major industry. Learning to code is your fastest path into Data Science and Analytics, sharpening your problem-solving abilities and opening doors to high-demand careers in fields like the Internet of Things (IoT) and Smart Cities.
Create Your Calculator: Learn R Programming Basics Fast is a bite-sized, practical course engineered specifically for complete beginners. Skip endless theory and gain immediate coding confidence by building a fully interactive calculator early in the curriculum.
Why Enroll in This Course?
Fast-Paced & Practical: Go from zero coding experience to building a working R project right away.
Solid Foundation: Master essential concepts including data structures, logic, loops, custom functions, and data importing.
Pathway to Certification: Complete Step 1 of the official SVBook Certified Data Miner using R learning sequence.
Recommended Certification Path
Complete all four courses in the series and pass the final exam at EGMHAcademy to earn your official credential:
Course 1: Create Your Calculator: Learn R Programming Basics Fast (This Course - R Basics & Syntax)
Course 2: Applied Statistics using R with Data Processing (Data Understanding & Preparation)
Course 3: Advanced Data Visualizations using R with Data Processing (Exploratory Data Analysis & Graphics)
Course 4: Machine Learning with R (Predictive Modeling & Evaluation)
What You Will Learn
Core Concepts: Install R and RStudio, run your first script, and master variables, data types, and type conversion.
Data Structures: Construct and manipulate Vectors, Lists, Matrices, and Data Frames.
Program Logic: Apply arithmetic/logical operators, decision-making (if statements), and automated loops (for, while).
Functions & Capstone: Write custom functions to build your own fully functional interactive R Calculator.
Data Handling: Import CSV files, generate descriptive statistics via summary(), and create basic visual plots.
Requirements
A computer (Windows, Mac, or Linux) with R and RStudio installed.
No prior programming experience required—this course starts completely from scratch!
Who This Course Is For
Absolute beginners looking for a fast, practical introduction to R.
Aspiring Data Analysts, Data Scientists, and researchers starting their programming journey.
Learners aiming to complete Course #1 of the SVBook Certified Data Miner using R credential path.