Shiny Web Applications Part 2

Learn how to build Scalable Data Science Applications using R, Shiny, and AWS Cloud Technology.

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Become an Expert Shiny Developer with AWS

Shiny Developer with AWS Course is an amazing course designed to teach Data Scientists and Programmers how to develop applications and deploy into production! You'll undergo a complete transformation learning the most in-demand skills that organizations need right now. Time to accelerate your career!


Discover What's Inside the Expert Shiny Developer with AWS Course

Crafted For Data Scientists and Programmers
That need to deploy shiny apps into production using a full-stack application deployment process


Everything You Need to Become the R Shiny Expert Level 2 for Your Organization

434 Lessons, 35.1 Hours of Video, and 6 Challenges to Test Your Skills

Undergo a Complete Transformation
By Learning An End-To-End Development Process

With Expert Shiny Developer, you will undergo a complete transformation by learning the most in-demand skills for building complex web applications and distributing data science within an organization.


You will build a Web Application that combines tidyquant, MongoDB Atlas, Shiny Server, and Amazon EC2.


To complete the project, you will need to learn:

  • Front end web development: Shiny & Bootstrap,
  • Backend server development Shiny & MongoDB
  • Deployment using AWS, Docker, Git, & NGINX


A Project-Based Course
Learn By Building A Real-World Application

This is a project-based course, and here’s the scenario. You are developing a financial application that enables multiple users to track various companies and their historical stock price movements. To complete this project, you will need to undergo a complete transformation by learning an end-to-end development process.

Empowering data scientists to complete the last mile... Production

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How it works

Your path to become an amazing Shiny Developer is simplified into 4 streamlined steps.

1

Shiny Jumpstart

2

Frontend

3

Backend

4

Production

Part 1

Shiny Jumpstart

First, we jumpstart your shiny development skills. You learn:

  • App Workflow: Design the financial analysis workflow
  • UI Layout: Develop the basic user interface layout
  • Server Functionality: Add server functionality to dynamically perform the financial analysis

Part 2

Learn Front End Development for Shiny

Next, you learn Front End Web Development for Shiny.

  • Bootstrap: Integrate bootstrap grid system, containers, and components - including navbars, panels, thumbnails, and more!
  • ShinyJS: Perform common javascript actions like hiding and unhiding parts of your web application.


Part 3

Learn Backend Development for Shiny

You learn Backend Web Development for Shiny.

  • Dynamic UI: Let Users control the look and appearance of your application.
  • Authentication and User Management: Provide a secure and customized user experience.
  • Persistent Data Storage: Connect your application to a NoSQL cloud database powered by the MongoDB Atlas cloud database service.

Part 4

Deploy your application with AWS

You learn how to take your application into Production with AWS, Docker, Git, Shiny Server, and NGINX:

  • AWS EC2: Launch your app on Amazon EC2
  • Docker: Use docker to control the software environment in deployment
  • Git: Manage the entire software deployment workflow
  • Shiny Server: Manage the shiny hosting configuration
  • NGINX: Add SSL Security and HTTPS to encrypt communication during login

Summary of what you get

  • A methodical training plan that goes from concept to production ($10,000 value)
    • Part 1 - Shiny Jumpstart
    • Part 2 - Frontend Web Development - Shiny + Bootstrap
    • Part 3 - Backend Development - User Authentication, Dynamic UI, & NoSQL User Database with MongoDB Atlas Cloud
    • Part 4 - Production - AWS + Docker + Git + Shiny Server + NGINX

$10,000 Value

Purchase today for: 👇

*Price excludes local taxes & VAT

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Your Instructor


Matt Dancho
Matt Dancho

Founder of Business Science and general business & finance guru, He has worked with many clients from Fortune 500 to high-octane startups! Matt loves educating data scientists on how to apply powerful tools within their organization to yield ROI. Matt doesn't rest until he gets results (literally, he doesn't sleep so don't be suprised if he responds to your email at 4AM)!


Course Curriculum


  Welcome to Shiny Web Applications Part 2!
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  Prerequisites
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  Getting Help
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  End-to-End Course Project - Stock Analyzer
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  Tools In Our Toolbox
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  Shiny vs Flexdashboard
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  R & R Package Installation
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  Comparing Files - Identifying Differences Between My Code Checkpoints & Your Files - diffr Training
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  Part 1 - Stock Analyzer Application - Shiny Jumpstart!
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  1.1 Stock Analyzer - App Workflow
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  1.2 Stock Analyzer - Creating the Layout with Shiny
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  1.3 Stock Analyzer - Adding Server Functionality
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  1.4 Challenge #1 - Add Moving Average Sliders to your Stock Analyzer
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  1.5 Stock Analyzer App Checkpoint - Complete App Download
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  Part 2 - Front End Web Development for Shiny
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  2.0 Bootstrap for Shiny Developers
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  2.1 Shiny App Setup & Bootstrap Documentation
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  2.2 Bootstrap Documentation
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  2.3 Bootstrap Containers
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  2.4 Bootstrap Web App Setup - Headers & Lead Paragraphs
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  2.5 Bootstrap Fundamentals - Grid System
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  2.6 Bootstrap Fundamentals - Text, Alignment, & Lists
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  2.7 Boostrap Fundamentals - Colors, Buttons, Images, & Thumbnails
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  2.8 Bootstrap Components - Navigation
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  2.9 Bootstrap Components - Jumbotrons & Panels
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  2.10 CSS, Bootstrap Themes & Mobile-Friendly Development
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  2.11 JavaScript & ShinyJS
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  2.12 Table of Contents
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  2.13 Bootstrap Cheatsheet - Complete App Download
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  3.0 Upgrading the Stock Analyzer - Adding Bootsrap, CSS, & ShinyJS
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  3.1 Upgrading the Stock Analyzer - Adding Bootsrap, CSS, & ShinyJS
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  3.2 Challenge #2 - Toggling the Moving Average Setting Visibility
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  4.0 Custom UI Training
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  4.1 Custom UI Training
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  4.2 Challenge #3 - Making a Thumbnail Function
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  4.3 Custom UI Training Checkpoint - App Download
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  5.0 Stock Analyzer - Adding Our Custom Info Cards!
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  5.1 Custom Info Cards
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  5.2 Stock Analyzer - Custom Info Cards - App Download
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  Part 3 - Back End Web Development for Shiny
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  6.0 Dynamic UI Training
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  6.1 Intro to Rendering UI
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  6.2 Dynamic UI - Storing User Input
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  6.3 Adding UI Dynamically
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  6.4 Removing UI Dynamically
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  6.5 Dynamic UI Training - Complete App Download
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  7.0 Stock Analyzer - Enable Users to Dynamically Update Favorite Cards
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  7.1 Favorite Card Analysis
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  7.2 Integrating Dynamic Cards - Add & Delete Functionality!
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  7.3 Challenge #4 - Dynamic UI - Adding "Clear All" & "Show/Hide Favorites"
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  7.4 App Cleanup & Debugging
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  7.5 Stock Analyzer - Dynamic Favorite Cards - Complete App Download
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  8.0 Stock Analyzer - Integrating a Dynamic Tabset
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  8.1 Dynamic Tabset Panels
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  8.2 Control Reactive Flow with "Apply & Save" Button & App Cleanup
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  8.3 App Cleanup
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  8.4 Challenge #5: Creating a Panel Card Function
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  8.5 Stock Analyzer Checkpoint - Dynamic Tabs - Complete App Download
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  9.0 Authentication & Shiny Module Training
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  9.1 Introduction to Authentication
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  9.2 Introduction to Shiny Modules
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  9.3 Authentication with shinyauthr
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  9.4 Authentication & Module Training - Complete App Download
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  10.0 Stock Analyzer - Adding User Authentication & User Experience
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  10.1 User Login - with shinyauthr
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  10.2 User Experience - Customize the App based on the User Preferences
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  10.3 Challenge #6 - Stock Analyzer User Settings
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  10.4 Stock Analyzer Checkpoint - Complete App Download
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  [IMPORTANT] Database Training for Shiny App Developers
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  11.0 Stock Analyzer - Persistent Data Storage (Local) & CRUD Operations
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  11.1 CRUD Operations & R Workflow
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  11.2 Integrating Persistent Data Storage Locally
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  11.3 Stock Analyzer Checkpoint - Persistent Data - Complete App Download
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  [IMPORTANT] MongoDB Atlas Setup for Shiny Developers
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  12.0 Stock Analyzer - Cloud Database (Remote Storage)
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  12.1 Mongolite Training, Part 1 - Main Functions & Operations
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  12.2 Mongolite Training, Part 2 - Stock Analyzer CRUD Operations
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  13.0 Stock Analyzer - MongoDB Atlas Integration
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  13.1 Integrating the CRUD Operations into Your Stock Analyzer App
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  13.2 Complete App Download
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  Part 4 - Production with AWS
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  14.1 AWS Server Setup
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  14.2 Billing Alerts
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  14.3 SSH - Connecting to the EC2 Server
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  14.4 LINUX Command Line - Navigating the Ubuntu Server via the Shell
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  15.1 Docker Overview & Command Line Interface (CLI)
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  15.2 DockerHub
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  15.3 Docker Containers
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  15.4 Docker Images
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  16.1 GitHub Overview & Command Line Interface (CLI)
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  16.2 GitHub
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  16.3 Cloning Your Remote Repo onto EC2 Server
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  16.4 App Change Management Workflow - Simple / No Branches
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  16.5 App Change Management Workflow - Complex / Using Branches
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  17.1 Shiny Server - App Hosting Model
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  18.1 Database Connection, Permissions, & Elastic IP
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  18.2 Branded URLs - Domain & Subdomain w/ Cloudflare
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  18.3 HTTPS & SSL Encryption - NGINX & Docker Compose
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  19.0 Final Project - Application Library
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  19.1 EC2 - Shiny Server Configuration
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  19.2 Application Library - app.R Setup
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  19.3 UI - Frontend Development
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  19.4 Dynamic UI - Card Iteration
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  19.5 Server - Full-Text Search & Tag Filtering Logic
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  Congrats! Certificate - Get it, Post it, Tag Matt!
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Frequently Asked Questions


When does the course start and finish?
The course starts now and never ends! It is a completely self-paced online course - you decide when you start and when you finish.
How long do I have access to the course?
How does lifetime access sound? After enrolling, you have unlimited access to this course for as long as you like - across any and all devices you own.
What if I am unhappy with the course?
I would never want you to be unhappy! If you are unsatisfied with your purchase, contact me in the first 30 days and I will give you a full refund.
Is the Shiny Web Applications Part 1 a Prerequisite?
Yes. I expect understanding of Shiny Reactivity, Shiny UI Components, Google Chrome Inspector, & basic HTML & CSS, which are all covered in Shiny Web Applications Part 1.
Any Reason Why You Use MongoDB Atlas vs AWS's DynamoDB?
Yes, to minimize cost. The AWS content in the course is designed to minimize any additional expenditure of the student. The concepts are virtually identical, but MongoDB Atlas is FREE up to 512MB storage versus DynamoDB (AWS's version) cost $0.50+/hr (~$400/month) - I imagine a tough pill to swallow for students.
Will there be an additional cost for AWS in the course (Part 4 - Production)?
I went with MongoDB Atlas, FREE up to 512MB storage - which is amazing (thank you mongo!) I selected Amazon EC2 which is free-tier for 1 year depending on eligibility. After that, EC2 servers are around $9/month. I cover methods to control costs with billing alerts and free-tier eligible services. I also show you how to shut off servers so you don't get charged excessively.
Is the course designed to build production quality apps on the free versions of Rstudio and at what point do you need to start looking at investing in the paid
Yes, I use the FREE version of Rstudio's Shiny Server. There will be no additional cost to complete the course. However, I also discuss when it is appropriate to upgrade. RStudio Connect offers (A) Enterprise Support, (B) Load Balancing up to 20 Concurrent Users, & (C) Push-Button Deployment. A & B are the most critical that your organization needs to consider. Many organizations NEED Enterprise Support & don't have staff to deal with maintenance issues.

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