Introduction to Data Analysis and Visualization with R

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.

Beginner

70 Lessons

20h

Certificate of Completion

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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Explanations

AI-POWERED

Explanations

This course includes

1 Project
1 Assessment
227 Playgrounds
7 Quizzes

This course includes

1 Project
1 Assessment
227 Playgrounds
7 Quizzes

Course Overview

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 visual...Show More

TAKEAWAY SKILLS

Data Science

Data Visualization

Data Manipulation

Data Cleaning

What You'll Learn

Proficiency in data manipulation and analysis using R language

Profound knowledge of basic data structures in R language and file management

Understanding of statistical concepts and their interpretation

Expertise in creating meaningful data visualizations using R

Hands-on experience with a project based on a real dataset

Proficiency in implementing data-driven decision-making skills

What You'll Learn

Proficiency in data manipulation and analysis using R language

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Course Content

1.

Getting Started

Get familiar with R programming, essential packages, and practice with ready-to-use datasets.
2.

File Management

Grasp the fundamentals of reading, loading, and saving data efficiently in R.
3.

Data Structures

Master the steps to understand R data types, coercion, structures, and string manipulation.
4.

Data Cleaning

Grasp the fundamentals of data cleaning in R, including managing, transforming, and exploring data frames.
5.

Statistical Analysis

Deepen your knowledge of statistical methods, hypothesis testing, sampling, and data relationships using R.
6.

Data Transformation

9 Lessons

Tackle data transformation in R using aggregation, crosstabs, normalization, outlier handling, encoding, and patient data challenges.
7.

Data Visualization

18 Lessons

Build on understanding chart functions, ggplot2, and various visualization techniques in R.

Uber Data Analysis Using the R Language

Project

8.

Conclusion

1 Lesson

Get familiar with leveraging your R skills for impactful data-driven decisions and career growth.

Evaluation

Assessment

Netflix Shows

Project

Course Author

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Anthony Walker

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Emma Bostian 🐞

@EmmaBostian

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