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Data Visualization in R

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Course Report - Data Visualization in R

Course Report

Find detailed report of this course which helps you make an informed decision on its relevance to your learning needs. Find out the course's popularity among Careervira users and the job roles that would find the course relevant for their upskilling here. You can also find how this course compares against similar courses and much more in the course report.

Course Features

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Duration

4 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Mobile, Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Teaching Type

Self Paced

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Video Content

4 hours

Course Description

This course is designed to teach you how to plot data using R's default graphics system, base graphics. The course begins with an introduction to base graphs and then dives into various R plotting examples, including scatterplots, correlation matrices, and simple graphs. The focus then shifts to plot customization, where you will learn how to save and create complex R plots and efficiently use R's colors. Base graphics is the default system for R graphics and is known for its ease of use. It provides many useful tools, particularly for exploratory graphics when working with unknown datasets. By the end of this course, you will have a solid understanding of base graphics and their applications in data visualization and analytics. This training will equip you with the skills needed to visualize data in your analytics projects effectively.

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Highlights

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Rating & Reviews

Top 30 Percentile

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Pedagogy

Top 10 Percentile

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Parameters

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Pedagogy

Acquire all major R for Data Science skills in this course for seamless integration into your daily life. Develop a versatile skill set, allowing you to confidently apply what you've learned in various practical scenarios, enhancing your daily experiences and overall proficiency. An exceptional course in R for Data Science, this stands out for its Self Paced learning approach. Learners have the flexibility to progress at their own speed, tailoring the experience to their individual needs. With a focus on cultivating industry-relevant skills, this course ensures that learners attain a skillset aligned with current industry demands.

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Rating & Reviews

This highly acclaimed course is among the top-rated in R for Data Science, boasting a rating greater than 4 and an overall rating of 5.0. Its exceptional quality sets it apart, making it an excellent choice for individuals seeking top-notch learning experience in R for Data Science.

Course Overview

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Virtual Labs

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International Faculty

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Post Course Interactions

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Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

Introduction to R

What You Will Learn

This chapter gives a brief overview of some of the things you can do with base graphics in R

This chapter introduces several Base R supported plot types that are particularly useful for visualizing important features in a dataset

In this chapter, we will learn how to modify point shapes and sizes, line types and widths, add points and lines to plots, add explanatory text and generate multiple plot arrays

Course Instructors

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Ronald Pearson

PhD in Electrical Engineering and Computer Science from M.I.T.

Ron has been actively involved in data analysis and predictive modeling in a variety of technical positions, both academic and commercial, including the DuPont Company, the Swiss Federal Institute of...

Course Reviews

Average Rating Based on 3 reviews

5.0

100%

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