Building Dashboards with shinydashboard
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.
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Course Features
Duration
4 hours
Delivery Method
Online
Available on
Limited Access
Accessibility
Mobile, Desktop, Laptop
Language
English
Subtitles
English
Level
Intermediate
Teaching Type
Self Paced
Video Content
4 hours
Course Description
Highlights
Rating & Reviews
Top 30 Percentile
Hands on training
Top 20 Percentile
Parameters
Hands on training
This course stands out as one of the top 20 percentile options in Data Analytics, offering unparalleled hands-on training. Learners gain practical experience and skills through immersive learning, preparing them for real-world challenges. It ensures a well-rounded skill set, catering to a range of learning preferences. With a focus on Hands on training as well as essential Case Based Learning and Virtual Labs, this course is tailored to meet diverse educational needs.
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Rating & Reviews
This highly acclaimed course is among the top-rated in Data Analytics, 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 Data Analytics.
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Course Overview
Virtual Labs
International Faculty
Case Based Learning
Post Course Interactions
Case Studies,Hands-On Training,Instructor-Moderated Discussions
Skills You Will Gain
Prerequisites/Requirements
Building Web Applications with Shiny in R
What You Will Learn
In this course you'll learn to build dashboards using the shinydashboard package
You'll gain more expertise using shiny while learning to build and design these dynamic dashboards
In the process, you'll pick up tips to optimize performance as well as best practices to create a visually appealing product
Course Instructors
Lucy D Agostino McGowan
Postdoctoral fellow, Johns Hopkins Department of Biostatistics
Course Reviews
Average Rating Based on 3 reviews
100%