Gain insights into data manipulation, analysis, and visualization with R. Learn statistical concepts, create insightful visualizations, and empower decision-making to excel in data-centric roles.

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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

## Vector objects

**Vectors** act as containers of data elements, forming one-dimensional basic data structures that transform values into a single data type. Vectors can be sorted, filtered, and modified. We can generate vectors using the `c()` command.


# Vector objects

**Vectors** act as containers of data elements, forming one-dimensional basic data structures that transform values into a single data type. Vectors can be sorted, filtered, and modified. We can generate vectors using the `c()` command.


Learn the details of the vector data type in the R language.

Getting Started

File Management

Data Structures

Data Cleaning

Statistical Analysis

Data Transformation

Data Visualization

Conclusion

Evaluation

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Vectors in R

Vector objects