Hands-On R Programming: Build Real World Data Projects

Name: Hands-On R Programming: Build Real World Data Projects
Availability: InStock
Rating: 3.90 (479 reviews)

3.90

4,790 students

2h 43m

Updated Mar 2026

What you'll learn

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)

Course Description

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