THE ADVENTURES OF THE DATA SCIENCE FLEET COMMAND Trademark

Serial Number: 99727071

THE ADVENTURES OF THE DATA SCIENCE FLEET COMMAND is a trademark filed by Data Science Alliance on March 26, 2026. The trademark is classified under Class 9 (Computers & Electronics), Class 16 (Paper Goods). The application is currently pending registration.

Trademark Classes

Class 9 - Computers & Electronics

Scientific, nautical, surveying, photographic, cinematographic, optical apparatus and instruments

Class 16 - Paper Goods

Paper and cardboard; printed matter; bookbinding material; photographs; stationery

Owner Contact Info

Data Science Alliance (3 trademarks)

11512 El Camino Real, Suite 340
San Diego, CA 92130

Entity Type: 99

Legal Representation

Attorney of Record

Neil A. Salyards

797 trademarks filed View all →

Correspondence Address

Neil A. Salyards Procopio, Cory, Hargreaves & Savitch LLP

525 B Street, Suite 2200

San Diego, CA 92101

United States

Trademark Details

Filing Date

March 26, 2026

Registration Date

Not Registered

Published for Opposition

September 22, 2026

Goods & Services

A series of printed books, printed articles, printed handouts and printed worksheets in the field of data safety relating to protecting data from scams, theft, damage, and unauthorized access; Printed educational publications, namely, workbooks, short stories, books, handouts, and pamphlets in the fields of data safety relating to protecting data from scams, theft, damage, and unauthorized access; Printed publications, namely, workbooks, short stories, books, handouts, and pamphlets in the field of data safety relating to protecting data from scams, theft, damage, and unauthorized access

Downloadable printable educational course materials in the field of data safety relating to protecting data from scams, theft, damage, and unauthorized access; Downloadable educational materials, namely, printable worksheets, lecture instructional materials, handouts, books, and pamphlets in the field of data safety relating to protecting data from scams, theft, damage, and unauthorized access