27 min

Episode 1 - The Vocabulary of Data and Analytics with Elizabeth Gilbert Women in Analytics After Hours

    • Technology

Elizabeth Gilbert, a Product Data Analyst at Olive, joins us to dive into the vast and unique vocabulary of data and analytics and help us to make sense of it all.
This episode was recorded live at the 2022 DataConnect Conference.
About Elizabeth Gilbert
Elizabeth is a Product Data Analyst at Olive and the organizer of the Cincinnati Data Science Meetup. Formerly, Elizabeth helped lead the Big Data and Analytics Association at The Ohio State University, where she empowered and connected students interested in analytics to get into the industry. She cares about everyone having the vocabulary of data and analytics.
Relevant Links:
CRISP DM
Crash Course in Analytics: Data Science for Startups, Elizabeth's webinar with Greg Sweeney
The Venn Diagram of Data Science
Gartner's Analytics Maturity Model
Cincinnati Data Science Meetup Events
DataConnect Conference

Follow Elizabeth:
LinkedIn
Website

Follow Lauren:
LinkedIn
Twitter
Website

Podcast Transcript
Click Here

Elizabeth Gilbert, a Product Data Analyst at Olive, joins us to dive into the vast and unique vocabulary of data and analytics and help us to make sense of it all.
This episode was recorded live at the 2022 DataConnect Conference.
About Elizabeth Gilbert
Elizabeth is a Product Data Analyst at Olive and the organizer of the Cincinnati Data Science Meetup. Formerly, Elizabeth helped lead the Big Data and Analytics Association at The Ohio State University, where she empowered and connected students interested in analytics to get into the industry. She cares about everyone having the vocabulary of data and analytics.
Relevant Links:
CRISP DM
Crash Course in Analytics: Data Science for Startups, Elizabeth's webinar with Greg Sweeney
The Venn Diagram of Data Science
Gartner's Analytics Maturity Model
Cincinnati Data Science Meetup Events
DataConnect Conference

Follow Elizabeth:
LinkedIn
Website

Follow Lauren:
LinkedIn
Twitter
Website

Podcast Transcript
Click Here

27 min