> ## Documentation Index
> Fetch the complete documentation index at: https://domoinc-openapi-sync-dataflows.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Data Science Webinars

#### Intro to Domo’s Data Science Products & Services:

<iframe src="https://www.youtube.com/embed/Rr8zYwD7xck?start=51" title="Intro to Domo’s Data Science Products & Services" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen />

*Overview of Domo’s data science consulting; Why use Domo for data science; Overview of Jupyter, AutoML, and magic ETL scripting tiles; Live demos of data science/machine learning solutions (sentiment analysis and customer engagement scores). See the [slide deck](https://drive.google.com/file/d/1loUaravaYiim7znsQA6U7d-Rj6yyWuwM/view) here.*

**[AI & Best Practices for Data Cleanliness](https://www.youtube.com/live/v9A4g__aIJ4?si=yVvehTS4CPdRKtRL\&t=540)**

*Data cleanliness issues that need to be addressed to have AI-ready data. [Data cleanliness checklist here](https://github.com/domoinc/domo-data-science-resources/blob/main/webinars/Data_Cleanliness_Checklist.pdf). Additional resources on [handling extreme values / outliers see here](https://github.com/domoinc/domo-data-science-resources/blob/main/webinars/Handling_ExtremeValues_Outliers.pdf) and [data exploration see here](https://github.com/domoinc/domo-data-science-resources/blob/main/webinars/Data_Exploration.pdf).*

**[Are You Ready for Data Science?](https://www.domo.com/learn/webinar/ready-for-data-science)**

*Data science readiness; Stages of data science project; Model building & testing; Examples of data science projects with end-to-end pipeline.*

#### The Power of Data Storytelling

<iframe src="https://www.youtube.com/embed/C3tH-MtSIFE?start=528" title="The Power of Data Storytelling" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen />

*The ability to tell a story with data is what separates a mediocre data professional from an impactful one. In this webinar, Domo data scientists will teach you how to fine-tune your data storytelling skills. Learn to craft compelling data narratives, tailor stories to your audience, and create meaningful Domo dashboards. See the [slide deck here](https://github.com/domoinc/domo-data-science-resources/blob/main/webinars/Domo_CommunityEvent_DataStorytelling_231026.pdf).*

#### Forecasting using Domo

<iframe src="https://www.youtube.com/embed/60LNo7Nzoe8" title="Forecasting using Domo" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen />

*Basics of forecasting (What is it? When should you use it? What data do you need?); Demos of Domo forecasting tools (Line & bar chart cards; Forecasting magic ETL data science tile; AutoML; Jupyter Workspaces). See the [slide deck here](https://drive.google.com/file/d/1vjowHae6eKrHBXz008Q9KYdxn6gbfmPO/view).*

#### How to Create Composite Scores using Data Reduction Techniques

<iframe src="https://www.youtube.com/embed/h4OI-IrnK7E?start=300" title="How to Create Composite Scores using Data Reduction Techniques" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen />

*Condensing columns of data into one summary composite score; Demo of composite score dashboard; Interview with customer that created a composite score (Michael J. Fox Foundation). See the [slide deck here](https://drive.google.com/file/d/1PGHek0CiYFed6mICHGOTmtYU42PoxHsO/view).*

#### ChatGPT and Natural Language Processing with Domo

[https://www.youtube.com/watch?v=0MsiT\_jLSd8](https://www.youtube.com/watch?v=0MsiT_jLSd8)

*ChatGPT; Natural Language Processing (NLP); Large Language Models (LLM); Demo of NLP using Shift’s Domo app; Demo of using ChatGPT within Jupyter Workspaces*

#### Magic ETL Scripting Tiles vs Jupyter

<iframe src="https://www.youtube.com/embed/9CXoYW-wG-g" title="Magic ETL Scripting Tiles vs Jupyter" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen />

*When to use Magic ETL Scripting Tiles vs Jupyter; Demos of creating a correlation matrix using Scripting Tiles & Jupyter; Demo of using the automated data profiler in Jupyter. You can find the [materials referenced in the webinar here](https://drive.google.com/file/d/1fCM4TPdSDqsBnjhnB8HtrMdZ80z6xcrB/view)*

#### Demystifying Data Science Modeling in Domo

<iframe src="https://www.youtube.com/embed/ZjOwKORNlsE" title="Demystifying Data Science Modeling in Domo" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen />

*Modeling using Jupyter and AutoML; Data science pipelines; Data validation; Model dashboards; What-if analysis; Forecasting*

#### Looking Beyond Your Data with ReadySignal

<iframe src="https://www.youtube.com/embed/YuWLUWPGdOg" title="Looking Beyond Your Data with ReadySignal" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen />

*Overview of external control data (What is it? When should you use it?); Demo of how to use the ReadySignal connector & platform to connect external data directly into your Domo instance*

### Webinars with Domo Users About Their Data Science Use Cases

***

#### The Step-By-Step Process of Building a Machine Learning Solution | Boyne Resorts

<iframe src="https://www.youtube.com/embed/YvWcWGl_2eU?start=174" title="The Step-By-Step Process of Building a Machine Learning Solution | Boyne Resorts" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen />

How to create an end-to-end machine learning solution, from data ingestion to modeling to dashboards, all in Domo; use Jupyter Workspaces to build & deploy custom forecasting models; monitor model performance & data pipelines using automated dashboards & alerts. [Slide deck shared in presentation can be found here](https://github.com/domoinc/domo-data-science-resources/blob/main/webinars/Domopalooza_BoyneResorts_ForecastingSolution_2024.pdf).

#### [Data Science Readiness | Asure](https://www.domo.com/learn/webinar/data-science-readiness-with-asure)

*Creating data profiles; Churn reduction; Revenue forecasting; Prospect conversion; Domo data science consulting*

#### How a Telecommunications Company Developed Their Own Crystal Ball to Predict Outcomes | TELUS

<iframe src="https://www.youtube.com/embed/UyZKwWtS_Ck" title="How a Telecommunications Company Developed Their Own Crystal Ball to Predict Outcomes | TELUS" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen />

*Predicting order failure using a classification model; Cost analysis; Root cause analysis.*

#### [How a Leading Fashion Retailer is Using Data to Drive Growth | Intermix](https://www.domo.com/learn/webinar/how-a-leading-fashion-retailer-is-using-data-to-drive-growth)

*Predicting customer churn; Estimating customer lifetime value; Indicators of customer loyalty*

#### [Predict & Forecast Business Needs Using Domo’s Data Science Suite | Layton Construction](https://www.domo.com/learn/webinar/webinar-predict-and-forecast-critical-business-needs)

*Choosing a use case; Selecting data sources; Forecasting revenue using business logic rules*
