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Data Analysis in R with RStudio & Tidyverse

Learn hands-on data analysis using R programming with RStudio IDE and Tidyverse package for effective data manipulation and analysis.

Learn hands-on data analysis using R programming with RStudio IDE and Tidyverse package for effective data manipulation and analysis.

This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Data Science and Analysis Tools - from Jupyter to R Markdown Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.

4.3

(18 ratings)

1,854 already enrolled

Instructors:

English

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Data Analysis in R with RStudio & Tidyverse

This course includes

9 Hours

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

Free course

What you'll learn

  • Apply statistical functions for numerical data analysis

  • Import and manipulate datasets using Tidyverse

  • Perform statistical tests for population comparisons

  • Analyze relationships between datasets

  • Implement data wrangling techniques

Skills you'll gain

R Programming
Data Analysis
RStudio
Tidyverse
Statistical Analysis
Data Manipulation
Data Import
Statistical Tests
Data Wrangling
Descriptive Statistics

This course includes:

6.5 Hours PreRecorded video

12 coding exercises

Access on Mobile, Tablet, Desktop

FullTime access

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There are 5 modules in this course

This comprehensive course introduces beginners to data analysis using R programming language. Students learn to work with RStudio IDE and Tidyverse package for data manipulation and analysis. The curriculum covers descriptive statistics, data importing and wrangling, statistical testing, and population comparisons. The course emphasizes hands-on practice through interactive coding exercises in a real-world context.

Describing a Numerical Data Set

Module 1 · 2 Hours to complete

Importing and Describing Mixed Data Sets

Module 2 · 2 Hours to complete

Using Statistical Tests to Compare Populations

Module 3 · 2 Hours to complete

Using Statistical Tests to Describe Relationships

Module 4 · 2 Hours to complete

R Data Analysis Lab

Module 5 · 1 Hours to complete

Fee Structure

Instructor

Anh Le
Anh Le

20 Courses

Curriculum Developer and Dance Enthusiast at Codio

Anh Le, a passionate Curriculum Developer at Codio, dedicates his professional life to creating and providing educational content that fosters individual growth in students. His primary focus is on developing curricula that support learners in their personal educational journeys, likely in the field of computer science or programming given Codio's specialization in coding education. Anh's approach to curriculum development is rooted in a student-centered educational philosophy, aiming to create engaging and effective learning experiences. Beyond his professional role, Anh expresses his creativity and love for teaching through choreographing and teaching dance, a pursuit that likely informs his unique perspective on education. This combination of technical curriculum development and artistic expression showcases Anh's well-rounded approach to education, blending analytical and creative thinking to enhance the learning process for students at Codio

Data Analysis in R with RStudio & Tidyverse

This course includes

9 Hours

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

Free course

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.

4.3 course rating

18 ratings

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.