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Introduction to Data Analysis and Visualization with R

Name: Introduction to Data Analysis and Visualization with R
Price: 59 USD
Author: Yusuf Gulcan

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.

4.8

70 lessons

2 projects

20h

Created by Yusuf Gulcan

Introduction to Data Analysis and Visualization with R

What's included

70 lessons across 8 modules
7 quizzes with instant feedback
2 projects in preconfigured environments
AI Tutor on every lesson

Join 3.1 million developers at

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

Learning Roadmap

70 Lessons1 Project7 Quizzes1 Assessment4 Challenges

Getting Started

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

Introduction to the Course

Common R Packages for Data Analysis

Ready-to-Use Datasets in R

Quiz on the Fundamentals of R

File Management

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

Read and Load Data in R

Save Data in Files in R

Quiz on File Management

Data Structures

10 Lessons

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

Data Cleaning

11 Lessons

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

Statistical Analysis

14 Lessons

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

Data Transformation

9 Lessons

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

Data Visualization

18 Lessons

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

Uber Data Analysis Using the R Language

Project

Premium

Conclusion

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

Wrap-up

Evaluation

Assessment

Netflix Shows

Project

Certificate of Completion

Showcase your accomplishment by sharing your certificate of completion.

About this course

WHY I WROTE THIS COURSE

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.

ABOUT THE AUTHOR

Yusuf Gulcan

Data Scientist, Sports Enthusiast

Learn more about Yusuf

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