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# From No-Shiny Experience to Deploying My First Shiny App in 3-Months

_Written by Matt Dancho_

* * *

Creating decision-making applications is a value-driver of data science teams in large organizations. Here's an inspiring use-case from one of our students & how data science education helped.

_“Hello Matt, I just wanted to let you know that I have just completed the DS4B 102-R Course and the final challenge of building my first App. It is a Forecasting App that runs on top of its own database consisting of 24M records and utilizing two xgBoost models.”_

-Herbert McCalla, Business Analyst with Florida Power & Light

**Herb McCalla has developed a business decision-making application** that helps his company, Florida Power & Light, understand battery demand and predict battery failures for their fleet of over 7800+ batteries deployed across Southern Florida.

Here’s a snapshot of the application he built as his work project while completing the [DS4B 102-R Shiny Dashboards Course](https://university.business-science.io/p/ds4b-102-r-shiny-web-application-business-level-1).

Battery Demand Forecasting Application used to predict Florida Power & Light Battery Usage & Failure

## Herb used data science to provide actionable information

A key component of adding value to an organization is by providing actionable information. The application forecasts battery demand/usage and highlights batteries with charge so Florida Power & Light can optimally deploy their resources.

Predicting Bad Batteries (State of Charge of 60% or less)

Herb developed a Shiny Application that contains 2 XGBoost Machine Learning Models:

- One model is used to forecast Advanced Metering Infrastructure (AMI) battery usage demand
- The second model predicts each battery’s State of Charge (SOC) in our fleet of over 7,800+ batteries deployed in the FPL service territories around southern Florida

The application is no small feet:

- The app runs on top of a Florida Power & Light database of 24M records
- The machine learning model takes about 20-hours to run, making a prediction for each of the 7800+ batteries in the fleet

## What Did Herb Learn Through Business Science?

Herb is enrolled in the [4-Course R-Track](https://university.business-science.io/p/4-course-bundle-machine-learning-and-web-applications-r-track-101-102-201-202a/). He has completed both the 101 (R for Business) and 102 (Shiny Predictive Dashboards) courses.

In 101, Herb **learned the foundations of data science** including data wrangling, visualization, and machine learning. These skills directly translate to the data analysis needed for his Florida Power & Light Battery Demand Forecasting project.

In 102, Herb learned how to create a **predictive Shiny Dashboard**, which was used to make the Battery Demand Forecasting application.

Herb has successfully applied his data science learnings to his Florida Power & Light Battery Prediction Project. Congratulations Herb!!!

## What does Herb have to say about his data science education?

_“Call Matt Dancho with Business Science. This was fun and incredibly challenging.”_

-Herbert McCalla

## Learn to Apply Data Science to Business

The secret to landing a job in data science - **SHOW THAT YOU CAN PROVIDE BUSINESS VALUE**!!!

This is what I teach - **Business-First (Problem Solving)** using Data Science.

If you are committed to learning data science for business, then Business Science University will give you the tools, strategies, and processes to **unlock financial value for your organization**.

The 4-Course R-Track System will help you, just like it helped Herb McCalla develop a decision-making application for Florida Power & Light.

Complete your transformation in 6-months or less with our [4-Course R-Track System](https://university.business-science.io/p/4-course-bundle-machine-learning-and-web-applications-r-track-101-102-201-202a/).

## See what our students are doing:

### Student Success Stories

Real stories of success from our students applying their skills learned at [_Business Science University_](https://university.business-science.io/) to get jobs and help their organizations!

- **[How I Landed My Data Science Job](/content/business/2019/11/27/how_i_got_my_data_science_job.html) \- Masatake Hirono, Cognitive Analyst at Deloitte**
- **[Apply Data Science to Improve Addiction Treatment](/content/business/2019/11/11/data-science-improve-addiction-treatment.html) \- Z. Du, Senior Financial Analyst at Turning Point Clinic**
- **[How I got a 40% Raise with Data Science Education](/content/business/2020/04/13/increase-salary-data_science.html) \- Mohana Krishna Chittor, Data Scientist at Money View**

### Student Code Tutorials

Tutorials made by our students using their new skills learned at [_Business Science University_](https://university.business-science.io/)!

- **[Customer Churn Modeling using Machine Learning with parsnip](/content/code-tools/2019/11/18/parsnip-churn-classification-machine-learning.html) \- By Diego Usai, Data Science Consultant**
- **[Web Scraping Product Data in R with rvest and purrr](/content/code-tools/2019/10/07/rvest-web-scraping.html) \- By Joon Im, Analyst at Instacart**
- **[PDF Scraping in R with tabulizer](/content/code-tools/2019/09/23/tabulizer-pdf-scraping.html) \- By Jennifer Cooper, Marketing Data Scientist**
- **[Build An R Shiny App - Wedding Risk Model](/content/business/2019/06/09/Wedding-Risk-Model-App.html) \- By Bryan Clark, Data Scientist at Dashlane**

Thank you for reading this Business Science Success Stories. I love to share how our students are applying their learning.

Matt Dancho

Founder, Business Science

Lead Data Science Instructor, Business Science University

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