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

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

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.