Gartner Research

Understand Data Science Basics for Digital Marketing

Published: 24 May 2016

ID: G00278201

Analyst(s): Martin Kihn

Summary

Many marketers are called upon to have a grasp of basic data science methods and tools to communicate with analytics teams, evaluate projects and assess opportunities. Use this guide to learn the main concepts marketers should know.

Table Of Contents
  • Key Challenges

Introduction

Analysis

  • What Is Data Science?
  • Domains of Data Science
    • Data Exploration
    • Data Experimentation
    • Machine Learning
  • Working With Marketing Data Scientists
  • What to Do Next
  • Appendix: Key Data Science Terms

Gartner Recommended Reading

©2020 Gartner, Inc. and/or its affiliates. All rights reserved. Gartner is a registered trademark of Gartner, Inc. and its affiliates. This publication may not be reproduced or distributed in any form without Gartner’s prior written permission. It consists of the opinions of Gartner’s research organization, which should not be construed as statements of fact. While the information contained in this publication has been obtained from sources believed to be reliable, Gartner disclaims all warranties as to the accuracy, completeness or adequacy of such information. Although Gartner research may address legal and financial issues, Gartner does not provide legal or investment advice and its research should not be construed or used as such. Your access and use of this publication are governed by Gartner’s Usage Policy. Gartner prides itself on its reputation for independence and objectivity. Its research is produced independently by its research organization without input or influence from any third party. For further information, see Guiding Principles on Independence and Objectivity.

Already have a Gartner Account?

Become a client

Learn how to access this content as a Gartner client.