Update: “Your Data Team Should Be Your Company's Conscience” — Forbes Technology Council
Read More

Using R/Python to Get More Out of SQL Outputs

As companies become more data driven, it’s not enough to deliver the same standard SQL queries. Instead, data teams today are transforming SQL results into models to deliver more value to their businesses. But making that jump is tough, it’s hard to determine where to get started in the complex field of modeling and regression analysis. The Periscope Data community has been buzzing with requests to demystify Python and R modeling so data professionals can boost their skill set. Get started by creating a linear regression model with Neha Kumar, a customer solutions engineer at Periscope Data, and start bringing new analytics value to your business immediately.

As companies become more data driven, it’s not enough to deliver the same standard SQL queries. Instead, data teams today are transforming SQL results into models to deliver more value to their businesses. But making that jump is tough, it’s hard to determine where to get started in the complex field of modeling and regression analysis.

The Periscope Data community has been buzzing with requests to demystify Python and R modeling so data professionals can boost their skill set. Get started by creating a linear regression model with Neha Kumar, a customer solutions engineer at Periscope Data, and start bringing new analytics value to your business immediately.

Join Neha on Wednesday, October 17th, 2018 at 11 a.m. PDT as she walks through:
- What a linear regression is and when to use it
- Setting up the framework for a linear regression
- Step-by-step creation of a linear regression model in Python and R
- Contextualizing a model for other business teams

Thanks!

Click the button below to start your download:

As companies become more data driven, it’s not enough to deliver the same standard SQL queries. Instead, data teams today are transforming SQL results into models to deliver more value to their businesses. But making that jump is tough, it’s hard to determine where to get started in the complex field of modeling and regression analysis.

The Periscope Data community has been buzzing with requests to demystify Python and R modeling so data professionals can boost their skill set. Get started by creating a linear regression model with Neha Kumar, a customer solutions engineer at Periscope Data, and start bringing new analytics value to your business immediately.

Join Neha on Wednesday, October 17th, 2018 at 11 a.m. PDT as she walks through:
- What a linear regression is and when to use it
- Setting up the framework for a linear regression
- Step-by-step creation of a linear regression model in Python and R
- Contextualizing a model for other business teams

Download Guide

Thanks!

Enjoy the Webinar.

As companies become more data driven, it’s not enough to deliver the same standard SQL queries. Instead, data teams today are transforming SQL results into models to deliver more value to their businesses. But making that jump is tough, it’s hard to determine where to get started in the complex field of modeling and regression analysis.

The Periscope Data community has been buzzing with requests to demystify Python and R modeling so data professionals can boost their skill set. Get started by creating a linear regression model with Neha Kumar, a customer solutions engineer at Periscope Data, and start bringing new analytics value to your business immediately.

Join Neha on Wednesday, October 17th, 2018 at 11 a.m. PDT as she walks through:
- What a linear regression is and when to use it
- Setting up the framework for a linear regression
- Step-by-step creation of a linear regression model in Python and R
- Contextualizing a model for other business teams

<div class="jsBrightTALKEmbedWrapper" style="width:100%; height:100%; position:relative;background: #ffffff;"><script class="jsBrightTALKEmbedConfig" type="application/json">{ "channelId" : 16141, "language": "en-US", "commId" : 337543, "displayMode" : "standalone", "height" : "auto" }</script><script src="https://www.brighttalk.com/clients/js/player-embed/player-embed.js" class="jsBrightTALKEmbed"></script></div>

Using R/Python to Get More Out of SQL Outputs

As companies become more data driven, it’s not enough to deliver the same standard SQL queries. Instead, data teams today are transforming SQL results into models to deliver more value to their businesses. But making that jump is tough, it’s hard to determine where to get started in the complex field of modeling and regression analysis.

The Periscope Data community has been buzzing with requests to demystify Python and R modeling so data professionals can boost their skill set. Get started by creating a linear regression model with Neha Kumar, a customer solutions engineer at Periscope Data, and start bringing new analytics value to your business immediately.

Join Neha on Wednesday, October 17th, 2018 at 11 a.m. PDT as she walks through:
- What a linear regression is and when to use it
- Setting up the framework for a linear regression
- Step-by-step creation of a linear regression model in Python and R
- Contextualizing a model for other business teams