tarball.tar.gz

R_lang

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 code line changes the data type of an `x` variable?

What code line changes the data type of an <code>x</code> variable?

Which data type is used to store `TRUE`/`FALSE` values in R?

Which data type is used to store <code>TRUE</code>/<code>FALSE</code> values in R?

Which data conversion is *not* possible in R?

Which data conversion is not possible in R?

Which option is a two-dimensional data structure?

Which option is a two-dimensional data structure?

A matrix is a two-dimensional data structure, while a data frame can have multiple dimensions.

A matrix can only contain one data type, while a data frame can contain multiple data types.

A matrix is a mathematical object, while a data frame is a data structure.

What is the difference between a matrix and a data frame?

What is the difference between a matrix and a data frame?

Quiz - Data Structures

Quiz - Data Structures

Test your understanding of data structures.

Getting Started

File Management

Data Structures

Data Cleaning

Statistical Analysis

Data Transformation

Data Visualization

Conclusion

Evaluation

Netflix Shows

Quiz on Data Structures