DS4B 102-R: Shiny Dashboards By Matt Dancho

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DS4B 102-R: Shiny Dashboards By Matt Dancho

Shiny Web Applications Part 1 Build a predictive web application using Shiny, Flexdashboard, and XGBoost

Build Web Apps with Machine Learning The web application you learn how to build uses data science to predict new product prices!

This course is designed for…

1. Beginner data scientists that have completed the Data Science for Business Part 1 course and want to build predictive web applications
2. Intermediate data scientists familiar with R but want to learn Shiny and Flexdashboard

Your Instructor in DS4B 102-R: Shiny Dashboards

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 Application Development (Level 1)

Prerequisites

Getting Help

1.0 Getting Started

1.1 Business Case & Course Roadmap

1.2 Tools In Our Toolbox

1.3 Data Science Project Setup

1.4 Transactional Data Introduction – Bike Sales (Recap from 101)

 

Part 1 – Sales Dashboard
2.0 Making A Sales Dashboard with Flexdashboard
2.1 Flexdashboard Primer
2.2 Sales Dashboard – Integrating a Plotly Chloropleth Map
3.0 Adding Shiny Reactive Components to the Sales Dashboard
3.1 Shiny Tutorial
3.2 Integrating Shiny into the Sales Dashboard
3.3 Challenge 1 – Add Date Range Input
Course Survey
4.0 Extending The Sales Dashboard with Time Series & shinyjs
4.1 Time Series Plot
4.2 Adding Reactivity to the Time Series Plot
4.3 Integrating an Apply Button & shinyjs
4.4 BONUS – Adding Value Boxes to Your Dashboard

Part 2 – Product Pricing Prediction App
Predictive Analysis Goals (4:10)
6.0 Prediction App – Getting The Analysis Into The Flexdashboard Layout
7.0 Prediction App – Adding User Input with Shiny!
7.1 Adding Shiny To The Predictive Web Application
7.2 Challenge 2 – Reset Button
8.0 Completing the Predictive Web App – More Shiny!

Part 3 – Customizing The Application Theme
9.1 HTML & CSS Crash Courses
9.2 Customizing The Appearance Of Your App
9.3 Challenge 3 – Matching Cannondale’s Brand Appearance
9.4 Bonus – Adding Images To Your Cannondale App

Part 4 – Add Demand Forecasting & Customizing Your Sales Dashboard
10.1 Demand Forecast Analysis – Parnsip + XGBoost
10.2 Visual Forecast Inspection & Model Adjustment
10.3 Forecasting – What About Trend? (XGBoost vs GLMNet)
10.4 Forecast Mode – Integrating the ML Forecast into our App!
10.5 Customization – Business Science Light Theme
10.6 Customization – Business Science Dark Theme

Part 5: Production & Deployment
11.1 Publishing Your Shiny Web App!
11.2 Challenge
Congratulations!!!

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