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

## Compare solutions
Please compare your code to the one given below. R is a flexible programming language. We can find the solution using extra functions or by following the steps in a different order. Please keep in mind that this solution is only one of many. Feel free to play with the code and try various methods. Here is our solution to the challenge in the previous lesson:

# Compare solutions
Please compare your code to the one given below. R is a flexible programming language. We can find the solution using extra functions or by following the steps in a different order. Please keep in mind that this solution is only one of many. Feel free to play with the code and try various methods. Here is our solution to the challenge in the previous lesson:

See one of several solutions to the "Calculate String Length" challenge and compare your solution to it.

Getting Started

File Management

Data Structures

Data Cleaning

Statistical Analysis

Data Transformation

Data Visualization

Conclusion

Evaluation

Netflix Shows

Solution: Calculate String Length

Compare solutions