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Data Science with R Specialization

Master R programming for data science with Duke University. Learn data visualization, transformation, and ethical analysis in this comprehensive specialization.

Master R programming for data science with Duke University. Learn data visualization, transformation, and ethical analysis in this comprehensive specialization.

This comprehensive specialization provides foundational skills in data science using R programming. Designed for beginners and professionals, it covers data visualization, statistical analysis, and ethical considerations. Students learn to use essential tools like Tidyverse, RStudio, and Quarto while working with real-world datasets. The program emphasizes practical applications and ethical principles in data analysis.

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Data Science with R Specialization

This course includes

30 Hours

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

12,827

What you'll learn

  • Transform and analyze data using R and Tidyverse

  • Create impactful visualizations with RStudio and Quarto

  • Apply ethical principles in data science

  • Develop reproducible analysis workflows

  • Master data tidying and importing techniques

  • Implement data privacy and security measures

Skills you'll gain

Data Science
R Programming
Data Visualization
Statistical Analysis
Data Ethics
Tidyverse
Data Wrangling
Data Transformation
Git
GitHub

This course includes:

30 Hours PreRecorded video

Access on Mobile

FullTime access

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There are 3 courses in this program

Introduction to Authentic Leadership Principles

Course 1 · 4 Weeks to complete · 6 modules

Introduction to Dental Terminology

Course 2 · 11 Hours to complete · 8 modules

Fee Structure

Payment options

Financial Aid

Data Science with R Specialization

This course includes

30 Hours

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

12,827

Testimonials

Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.

Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.