Sign-up today to join over 9 million learners already on ALISON:

R for Data Analysis Course


R for Data Analysis
R for Data Analysis

Learn how to display data on a visualization.


Join 1,272 other students.

Course Description

The free online course R for Data Analysis will introduce you to data manipulation in R programming. You will learn about manipulating data and grouping it to prepare the data. You will also learn how to take data you prepared and present it on visualizations.

The course begins by introducing you to data manipulation. You will learn what data manipulation is and about packages or library you need to add to your program for data manipulation. You will be introduced to the difference between feature and observation manipulation. You will learn about grouping and how that can organize your data output.

Next, you will be introduced to the two different types data visualization. You will learn about the grammar of graphics, about different graphing techniques and charting libraries you will need for visualizations. The course also teaches about setting the colours and organizing your data in the visualizations.

This free Alison course will be of great interest to professionals working in the areas of data science and data analysis and who want to learn more about using R for statistical computing.

Perquisites: The learner will need the have completed the previous course in Introduction to R for Data Science. The learner will need some knowledge of programming languages.

CERTIFICATION

To qualify for your official ALISON Diploma, Certificate or PDF you must study and complete all modules and score 80% or more in each of the course assessments. A link to purchase your Diploma certificate will then appear under the My Certificates heading of your My Account page.

LEARNING OUTCOMES

On completing this course, you will be able to:
- List libraries/packages you will need to include in your program for data manipulation.
- Discuss the process of features and observation manipulation.
- Describe how the forward pipe operator helps cleans up and organize your code.
- Explain what data visualization is and the difference between its two types.
- List libraries you will need to include in your r program to create visualizations.
- Describe how to display your data on a visualization.

Share This Course!






Manage a Group of Learners
Course Rating (By Learners): 4 stars based on 8 votes
Course Title: R for Data Analysis
Course #: 1066
Course Publisher: Channel 9
Course Category: 9
Content Origin:
Course Description: The free online course R for Data Analysis will introduce you to data manipulation in R programming. You will learn about manipulating data and grouping it to prepare the data. You will also learn how to take data you prepared and present it on visualizations.

The course begins by introducing you to data manipulation. You will learn what data manipulation is and about packages or library you need to add to your program for data manipulation. You will be introduced to the difference between feature and observation manipulation. You will learn about grouping and how that can organize your data output.

Next, you will be introduced to the two different types data visualization. You will learn about the grammar of graphics, about different graphing techniques and charting libraries you will need for visualizations. The course also teaches about setting the colours and organizing your data in the visualizations.

This free Alison course will be of great interest to professionals working in the areas of data science and data analysis and who want to learn more about using R for statistical computing.

Perquisites: The learner will need the have completed the previous course in Introduction to R for Data Science. The learner will need some knowledge of programming languages.
License: This course is available from Channel 9 OpenCourseWare through the following Creative Commons licence:
Creative Commons License
Release Date: 23rd Jan 2017
Content  
Course Duration (Avg Learner): 2-3 Hours
Video/Audio: High
Audio Only: High
Animation: None
Assessments: Yes
Education Level
Age appropriateness: 18+ Years
Minimum Grade/Class Level: Third Level
Validation: Level 6
ALISON Testing: Yes
Certification Availability
PDF Download: Yes
Parchment: Yes
Framed Certification: Yes

Study for Free at Your Own Pace! Start This Course

More Comments and Reviews >>

Study for Free at Your Own Pace! Start This Course

Free, Online R for Data Analysis Course.