Building Data Science Teams

Format:

Book

Author/Creator:

Patil, DJ, Author.

Language:

English

Subjects (All):

Big data.

Business intelligence.

Physical Description:

1 online resource (25 pages)

Edition:

1st edition

Place of Publication:

[Place of publication not identified] O'Reilly Media Incorporated 2011

Language Note:

English

System Details:

text file

Summary:

As data science evolves to become a business necessity, the importance of assembling a strong and innovative data teams grows. In this in-depth report, data scientist DJ Patil explains the skills,perspectives, tools and processes that position data science teams for success.

Contents:

Cover

Aster Data

Table of Contents

Building Data Science Teams

Being Data Driven

The Roles of a Data Scientist

Decision sciences and business intelligence

Product and marketing analytics

Fraud, abuse, risk and security

Data services and operations

Data engineering and infrastructure

Organizational and reporting alignment

What Makes a Data Scientist?

Hiring and talent

Would we be willing to do a startup with you?

Can you "knock the socks off" of the company in 90 days?

In four to six years, will you be doing something amazing?

Building the LinkedIn Data Science Team

Reinvention

About the Author

O'Reilly Strata.

Notes:

Bibliographic Level Mode of Issuance: Monograph

Description based on publisher supplied metadata and other sources.

Part of the metadata in this record was created by AI, based on the text of the resource.

ISBN:

1-4493-1679-4

OCLC:

958576434