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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

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This course includes

1 Project
1 Assessment
227 Playgrounds
7 Quizzes
Course Overview
What You'll Learn
Course Content
Apply Your Skills
Recommendations

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
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 ...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
Proficiency in data manipulation and analysis using R language

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Course Content

1.

Getting Started

4 Lessons

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

2.

File Management

3 Lessons

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

8.

Conclusion

1 Lessons

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

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