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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

Which function can be used to create scatterplots in R?

Which function can be used to create scatterplots in R?

What is the purpose of the `facet_wrap()` function in R?

What is the purpose of the <code>facet_wrap()</code> function in R?

Which argument adjusts the range of the x-axis?

Which argument adjusts the range of the x-axis?

Which function is used to change the font size of the axis labels in a `ggplot2` visualization?

Which function is used to change the font size of the axis labels in a <code>ggplot2</code> visualization?

Which syntax creates an empty chart layout in R?

Which syntax creates an empty chart layout in R?

Test your understanding of data visualization.

Getting Started

File Management

Data Structures

Data Cleaning

Statistical Analysis

Data Transformation

Data Visualization

Conclusion

Evaluation

Netflix Shows

Quiz on Data Visualization