Introduction to Data Analysis and Visualization with R

Beginner

70 Lessons

20h

Certificate of Completion

AI-POWERED

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

Course Content

Getting Started

Introduction to the Course

Common R Packages for Data Analysis

Ready-to-Use Datasets in R

Quiz on the Fundamentals of R

File Management

Read and Load Data in R Save Data in Files in R Quiz on File Management

Data Structures

Data Types in R Data Coersion in R Strings in R Vectors in R Lists in R Matrices in R Factors in R Quiz on Data Structures Challenge: Calculate String Length Solution: Calculate String Length

Data Cleaning

Data Frames in R Modify Data Frames Using R Explore Data Using R Delete and Add Data Using R Select and Filter Data Using R Sort and Shuffle Data Using R Change Data Types Using R Mutate Data Using R Quiz on Data Cleaning Challenge: Clean Data Solution: Clean Data

Statistical Analysis

Descriptive Statistics Data Distribution Inferential Statistics Hypothesis Testing Confidence Interval Student's T-test ANOVA (Analysis of Variance)Chi-Squared Test Correlation Tests Normality Test Regression Analysis Quiz on Statistical Analysis Challenge: Lookup Case Study Solution: Lookup Case Study

Data Transformation

9 Lessons

Data Visualization

18 Lessons

Conclusion

1 Lesson

Evaluation

Assessment

Netflix Shows

Project

Course Author

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