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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

Statistics is used in business, medical research, social sciences, manufacturing, and many more areas.
We use statistics to analyze data and make informed decisions. It helps us take a general look at any given data and identify patterns, trends, and relationships, which we can then use to make predictions and identify opportunities for improvement.

**Descriptive statistics** is a branch of statistics that deals with the collection, analysis, interpretation, presentation, and organization of data. We use descriptive statistics methods to describe and summarize the main features of a dataset, using measures such as central tendency (mean, median, mode) and dispersion (range, variance, standard deviation). The aim is to provide a concise and meaningful overview of the data.

Build an understanding of fundamental descriptive statistical terms.

Getting Started

File Management

Data Structures

Data Cleaning

Statistical Analysis

Data Transformation

Data Visualization

Conclusion

Evaluation

Netflix Shows

Descriptive Statistics