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Data Analysis with Tidyverse
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Data Analysis with Tidyverse

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

Course Cost

Free course

Beginner

Skill Level

14 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.

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What you'll learn

  • Learn to identify and transform data into tidy format

  • Master data analysis across multiple related tables

  • Apply regular expressions for pattern matching in strings

  • Manipulate categorical variables using factors

  • Use Tidyverse packages for efficient data manipulation

Skills you'll gain

R Programming
Tidyverse
Data Analysis
Regular Expressions
Data Manipulation
String Operations
Factor Analysis
Data Import
Data Transformation
dplyr

This course includes:

2.83 Hours PreRecorded video

8 quizzes

Access on Mobile, Tablet, Desktop

FullTime access

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Get a Completion Certificate

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Certificate
Certificate

Get a Completion Certificate

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

CREATED BY

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PROVIDED BY

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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.

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There are 5 modules in this course

This comprehensive course focuses on data analysis using the Tidyverse ecosystem in R. Students learn to work with tidy data principles, manipulate data across multiple tables, apply regular expressions for string manipulation, and handle categorical variables using factors. The curriculum covers importing data, data transformation with dplyr, string operations with stringr, and categorical data analysis with forcats, providing hands-on experience through practical exercises and peer-reviewed assignments.

Projects, Tibbles and Importing Data

Module 1 · 1 Hours to complete

Tidying Data

Module 2 · 4 Hours to complete

Relational Data

Module 3 · 2 Hours to complete

String Manipulation and Regular Expressions

Module 4 · 4 Hours to complete

Categorical Variables and Factors

Module 5 · 3 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

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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 with Tidyverse

Beginner

Skill Level

14 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.