• What is R?
• History and applications of R
• Installing and Configuring R and RStudio
• Basic R Syntax and Data Types
• Vectors, Matrices, and Arrays
• Data Frames and Lists
• Conditional Statements (if-else)
• Loops (for, while)
• Creating and Using Functions in R
• Function Arguments and Scoping
• Data Manipulation with dplyr (filter, select, mutate, arrange)
• Data Tidying with Tidyr (pivot_longer, pivot_wider)
• Joining and Merging Data Frames
• Creating Various Types of Plots (scatter plots, bar plots, line plots, histograms)
• Customizing Plot Aesthetics (colors, labels, themes)
• Creating Interactive Plots
• Descriptive Statistics (mean, median, standard deviation, quartiles)
• Hypothesis Testing (t-tests, chi-squared tests)
• Regression Analysis (linear regression, multiple regression)

Welcome to Hands-On R Programming: Build Real World Data Projects — your practical path to mastering R through real life applications. Whether you’re a beginner or someone looking to strengthen your data skills, this course will give you hands-on experience with one of the most powerful tools in data science.

Why Learn R?

R is widely used in data science, statistics, machine learning, and academia — especially when working with large datasets and generating clean, meaningful visualizations. It’s a favorite among data analysts, researchers, and companies worldwide.

But instead of just learning R syntax in isolation, this course focuses on building real world projects that reflect the kinds of tasks data professionals face every day.

What You’ll Learn

• R programming fundamentals and best practices

• Data cleaning and transformation

• Exploratory Data Analysis (EDA)

• Working with real world datasets: business, healthcare, finance, and more

• Building dashboards and automated reports

• Introduction to machine learning using caret and randomForest

• Statistical analysis, hypothesis testing, and correlation techniques

• How to structure, document, and present your projects

Course Features

• Step-by-step, beginner friendly tutorials

• Lifetime access

• Certificate of Completion

Start Learning Today

By the end of this course, you’ll be confident in using R to clean, analyze, visualize, and present data.

Who this course is for:

• Anyone who wants to build a strong portfolio of R data projects
• Students in statistics, economics, or data science
• Beginners who want to learn R by doing, not just watching
• Data analysts and professionals transitioning into R from Excel or Python