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This course delves into data manipulation, analysis, and visualization with R. It demonstrates the power of R as open-source statistical software, unlocking valuable insights for decision-making across diverse fields.

You'll begin by mastering the basics of R programming, fundamental data structures in R, and file management. You will learn fundamental statistical concepts such as hypothesis testing and regression analysis. You will also learn to leverage well-structured data for creating insightful visualizations using R's robust graphics libraries.

After completing this course, you'll confidently approach data-driven challenges. With proficiency in R, you can efficiently manipulate and analyze data, positioning yourself as a sought-after asset in data-centric roles. Your ability to interpret statistical results and create compelling data visualizations will empower improved decision-making, paving the way for new opportunities for career growth and success across various industries.

Introduction to Data Analysis and Visualization with R

What can we do using the R programming language?

What can we do using the R programming language?

It lets us impute outliers and modify data.

It helps us identify trends and patterns.

It lets us get information about data types and facilitates debugging.

It helps keep data secure and accessible.

What is a benefit of effective data visualization?

What is a benefit of effective data visualization?

Which R package includes a collection of task-specific, relatively small packages?

Which R package includes a collection of task-specific, relatively small packages?

Which R package aims to boost data manipulation processes? 

Which R package aims to boost data manipulation processes?

Which package involves functions for transforming tables from long format to wide format?

Which package involves functions for transforming tables from long format to wide format?

Quiz - Fundamentals of R

Quiz - Fundamentals of R

Test your understanding of the fundamentals of R.

Getting Started

File Management

Data Structures

Data Cleaning

Statistical Analysis

Data Transformation

Data Visualization

Conclusion

Evaluation

Netflix Shows

Quiz on the Fundamentals of R