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
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R programming fundamentals and best practices
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Data cleaning and transformation
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Exploratory Data Analysis (EDA)
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Working with real world datasets: business, healthcare, finance, and more
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Building dashboards and automated reports
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Introduction to machine learning using caret and randomForest
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Statistical analysis, hypothesis testing, and correlation techniques
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How to structure, document, and present your projects
Course Features
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
