Building data science infrastructure / Data Science Salon.

Format:

Video

Contributor:

Hudon, Caitlin, on-screen presenter.

Data Science Salon, publisher.

Language:

English

Subjects (All):

Business--Data processing--Management.

Business.

Management information systems.

Communication in management.

Physical Description:

1 online resource (1 streaming video file (22 min., 28 sec.)) : digital, sound, color

Place of Publication:

[Austin, Texas] : Data Science Salon, 2020.

Summary:

"Presented by Caitlin Hudon, Lead Data Scientist at OnlineMedEd. Before AI, before machine learning and pipelines, and before dashboards and BI, an organization starts with a pile of data, some business questions, and a few ideas on how to connect the two -- a greenfield, and an entry point for data science. Answering business questions and turning raw data into insights, models, and products means more than just writing code and doing analysis. A successful data science team needs tools, a communication strategy, thoughtful infrastructure, and a plan to deliver on their goals. This talk will cover how to tackle greenfield data science challenges from the perspective of the first data science hire in an organization, and how to build data science infrastructure from the ground up."--Resource description page.

Participant:

Presenter, Caitlin Hudon.

Notes:

Title from resource description page (Safari, viewed October 6, 2020).

Place of publication from title screen.

OCLC:

1199323009