HomeCoursesIntroduction to Data Analysis and Visualization with R

Beginner

20h

Updated 3 months ago

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.
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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.
This course delves into data manipulation, analysis, and visualization with R. It demonstrates the power of R as open-source sta...Show More

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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TAKEAWAY SKILLS

Data Science

Data Visualization

Data Manipulation

Data Cleaning

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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