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Data Analysis in R with RStudio & Tidyverse
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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.

Course Cost

Free course

Beginner

Skill Level

9 Hours

Self-paced lessons

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.

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4.3

1,854 Enrolled

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English

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olive-leaves-logo

4.3

1,854 Enrolled

olive-leaves-logo

English

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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Certificate
Certificate

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Share your certificate with prospective employers and your professional network on LinkedIn.

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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

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Faculties

These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.

Data Analysis in R with RStudio & Tidyverse

Beginner

Skill Level

9 Hours

Self-paced lessons

Course Cost

Free course

Completion

CERTIFICATE

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.