RiseUpp Logo
RiseUpp Logo
Introduction to R Programming and Tidyverse
Educator Logo

Powered by

Provider Logo

Completion

CERTIFICATE

olive-leaves-logo

Introduction to R Programming and Tidyverse

This course is part of Expressway to Data Science: R Programming and Tidyverse.

Course Cost

Free course

Beginner

Skill Level

21 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 Expressway to Data Science: R Programming and Tidyverse 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.

olive-leaves-logo

4.3

7,244 Enrolled

olive-leaves-logo

English

Powered by

Provider Logo
olive-leaves-logo

4.3

7,244 Enrolled

olive-leaves-logo

English

What you'll learn

  • Write and understand R functions for data analysis

  • Create data visualizations using ggplot2

  • Analyze datasets using dplyr and Tidyverse packages

  • Produce professional reports with RMarkdown

  • Apply programming principles to solve data problems

Skills you'll gain

R Programming
Data Analysis
Data Visualization
Tidyverse
ggplot2
dplyr
RMarkdown
Statistical Analysis
Data Manipulation
Functions

This course includes:

3.05 Hours PreRecorded video

7 quizzes

Access on Mobile, Tablet, Desktop

FullTime access

Shareable certificate

Closed caption

Get a Completion Certificate

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

CREATED BY

Educator Logo

PROVIDED BY

Provider Logo
Certificate
Certificate

Get a Completion Certificate

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

CREATED BY

Educator Logo

PROVIDED BY

Provider Logo

Top companies offer this course to their employees

Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.

icon-0icon-1icon-2icon-3icon-4

There are 4 modules in this course

This comprehensive introduction to R programming is designed for beginners from non-STEM backgrounds. The course covers fundamental R programming concepts, data visualization using ggplot2, and data analysis with dplyr and other Tidyverse packages. Students learn to create functions, analyze datasets, and produce professional reports using RMarkdown. The course emphasizes practical, hands-on learning with real-world applications in data science.

Introduction to R, RStudio and RMarkdown

Module 1 · 6 Hours to complete

Functions

Module 2 · 6 Hours to complete

Data Visualization using ggplot2

Module 3 · 3 Hours to complete

Data Analysis with dplyr

Module 4 · 6 Hours to complete

Fee Structure

Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Expressway to Data Science: R Programming and Tidyverse

Reviews

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.

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.

Introduction to R Programming and Tidyverse

Beginner

Skill Level

21 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.