Digital Marketing Analytics: Tools and Techniques

New York University (NYU) via edX

edX

13 Courses


Established in 1831, NYU is a prestigious global university in New York City, comprising 17 schools and colleges that offer more than 230 undergraduate, graduate, and professional programs.

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Overview

Explore the vast possibilities of digital marketing analytics with our comprehensive course, designed to equip you with essential tools and techniques for actionable insights. As businesses are flooded with an overwhelming amount of customer data, the ability to sift through this "big data" for useful information is more critical than ever. This course, offered through New York University (NYU) and available on edX, delves into real-world applications across various industries to showcase how data-driven decisions can significantly impact your company or business.

Learn to navigate the complexities of in-store and online customer transactions, customer surveys, web analytics, and the impacts of pricing and advertising decisions. Through understanding how to frame critical managerial problems, develop hypotheses, and analyze data, you will be able to draw meaningful inferences and craft narratives that drive actionable results. The course also explores cutting-edge tools such as artificial intelligence and machine learning to enhance your analytical skills and decision-making prowess.

Whether you are a marketing influencer, digital marketing analyst, or involved in product and brand decisions within a small or medium-sized enterprise, or a larger organization with international scope, this in-depth exploration into digital marketing analytics is invaluable. This course is a key component of the Digital Marketing Professional Certificate offered by Maryland Smith. For more information, visit the course page on edX.

Categories: Digital Marketing Courses

Syllabus


Taught by

Michael Trusov and Liye Ma


Tags

united states

provider edX

edX

300 Courses


edX

pricing Free Online Course (Audit)
language English
duration 4 weeks, 3-5 hours a week
sessions On-Demand
level Beginner