Information Technology
Trending Arrow Icon
Trending
Hands on Training icon
Hands On Training
Trending Arrow Icon
Hands on Training icon

Visualizing Big Data with Trelliscope in R

Course Cover

5

(3)

compare button icon
Course Report - Visualizing Big Data with Trelliscope 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

icon

Duration

4 hours

icon

Delivery Method

Online

icon

Available on

Limited Access

icon

Accessibility

Mobile, Desktop, Laptop

icon

Language

English

icon

Subtitles

English

icon

Level

Intermediate

icon

Teaching Type

Self Paced

icon

Video Content

4 hours

Course Description

Now you can tackle larger datasets after mastering ggplot2. This course will show you how to visualize large data using scalable visualization techniques such as faceting. This course will show you how to use Trelliscope, which is part of the trelliscopejs packages. Trelliscope seamlessly integrates with standard R workflows, allowing you to create interactive visualizations that allow you to explore your data deeply. This course will show you how to create interactive exploratory displays using large datasets. This course will help you and your colleagues gain new insights.

blur
blur

Highlights

blur

Pedagogy

Top 10 Percentile

blur

Hands on training

Top 1 Percentile

blur

Rating & Reviews

Top 30 Percentile

blur

Parameters

cv-icon

Pedagogy

Acquire all major R Programming 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 Programming, 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.

cv-icon

Hands on training

This course stands out as one of the top 1 percentile options in R Programming, offering unparalleled hands-on training. Learners gain practical experience and skills through immersive learning, preparing them for real-world challenges. This course is a standout choice among top R Programming courses, offering comprehensive hands-on training, a capstone project, case-based learning, and virtual labs. Learners gain practical experience through interactive training and apply their skills in real-world scenarios. This holistic approach equips learners with both theoretical knowledge and practical skills for success in the R Programming industry.

cv-icon

Rating & Reviews

This highly acclaimed course is among the top-rated in R Programming, 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 Programming.

Course Overview

projects-img

Virtual Labs

projects-img

International Faculty

projects-img

Case Based Learning

projects-img

Post Course Interactions

projects-img

Case Studies,Hands-On Training,Instructor-Moderated Discussions

projects-img

Case Studies, Captstone Projects

Skills You Will Gain

Prerequisites/Requirements

Introduction to the Tidyverse

What You Will Learn

Learn how to visualize big data in R using ggplot2 and trelliscopejs

In this course, you will learn several techniques for visualizing big data, with particular focus on the scalable visualization technique of faceting

You will learn how to put this technique into action using the Trelliscope approach as implemented in the trelliscopejs R package

By the end of this course, you will be able to easily create interactive exploratory displays of large datasets that will help you and your colleagues gain new insights into your data

Course Instructors

Author Image

Ryan Hafen

Author of TrelliscopeJS

Ryan Hafen is a statistical consultant and a remote adjunct assistant professor in the Statistics Department at Purdue University. Ryan's research focuses on methodology, tools, and applications in e...

Course Reviews

Average Rating Based on 3 reviews

5.0

100%

Course Cover