Publishing Visualizations in R with Shiny and flexdashboard

Go to Course: https://www.coursera.org/learn/data-viz-shiny-dashboards

Introduction

### Course Review: Publishing Visualizations in R with Shiny and flexdashboard In today's data-driven environment, the ability to effectively visualize and present quantitative data is paramount for professionals across all industries. The online course **"Publishing Visualizations in R with Shiny and flexdashboard"** offered on Coursera equips learners with the essential skills to create dynamic and interactive data visualizations using the R programming language. #### Overview This course addresses the growing need for data visualization proficiency in the workplace. As many professionals regularly engage with quantitative data, the ability to visualize it clearly and compellingly has become a non-negotiable expertise. Utilizing R, particularly in conjunction with the tidyverse packages, participants will discover how to harness the power of graphs, tables, and reproducible reports to communicate data findings effectively. However, it is acknowledged that the learning curve for R can be steep, which is why this course provides structured guidance and practical exercises to ease participants into these powerful tools. #### Syllabus Breakdown 1. **Introduction to Shiny** The course begins with an introduction to Shiny, a web application framework for R. This module lays the groundwork for creating interactive visualizations. Participants will be immersed in helpful introductory videos followed by comprehensive readings and reference materials. Quizzes along the way ensure that learners can assess their understanding and retention of the material. 2. **Customizing Shiny Apps** Building on foundational knowledge, the second module dives deeper into customizing Shiny applications. It focuses on user interface layout and interactivity aspects, providing learners with the essential tools to tailor their applications to specific needs. Just like the first module, this section encourages repeated engagement with video content and includes quizzes to reinforce learning. 3. **flexdashboard** The final module introduces flexdashboard, a package designed to create dashboards that can efficiently present visualizations. Learners will explore how to structure dashboards and display them in a user-friendly format. This module follows the same format of engaging videos, informative readings, and quizzes, ensuring a thorough understanding of how to employ flexdashboard effectively. #### Why Take This Course? - **Practical Application**: The course is designed not just to teach theory but also to provide practical skills that can be immediately applied to real-life data scenarios. - **Structured Learning Path**: Each module is laid out clearly, guiding learners progressively from basic concepts to more complex applications. - **Interactive Learning**: The inclusion of quizzes and interactive content keeps learners engaged and helps reinforce their understanding of challenging concepts. - **Community Support**: Being part of Coursera allows interaction with a global community of learners and facilitators, fostering an environment for knowledge sharing and problem-solving. #### Recommendation I highly recommend taking the **"Publishing Visualizations in R with Shiny and flexdashboard"** course, especially for professionals or students who work with data on a regular basis. Learning R and its visualization packages can differentiate you in the job market, providing you with a competitive edge in data analysis and presentation. This course not only demystifies R but also empowers you to create stunning and functional visualizations that can elevate the way you communicate data insights. Whether you are a beginner looking to get started in data visualization or an experienced individual seeking to refine your skills, this course offers invaluable resources and learning opportunities to help you succeed. Embark on this enriching journey to enhance your data visualization skills with R—enroll today!

Syllabus

Introduction to Shiny

In this module, we will get started using Shiny to create interactive visualizations. You should begin by watching the introductory videos in each lesson. Then, carefully review the readings and reference materials provided. Once you have done that, I recommend watching the videos again to check your understanding. You will take a few quizzes as you progress through the material to make sure you are keeping up.

In this module, we will go into greater details about laying Shiny applications. You should begin by watching the introductory videos in each lesson. Then, carefully review the readings and reference materials provided. Once you have done that, I recommend watching the videos again to check your understanding. You will take a few quizzes as you progress through the material to make sure you are keeping up.

In this module, we will learn how to use flexdashboard to display visualization in a dashboard format. You should begin by watching the introductory videos in each lesson. Then, carefully review the readings and reference materials provided. Once you have done that, I recommend watching the videos again to check your understanding. You will take a few quizzes as you progress through the material to make sure you are keeping up.