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Starts 29 June 2025 12:10

Ends 29 June 2025

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University of California, Berkeley

Machine Learning Aplicado ao Marketing

Title: Machine Learning Applied to Marketing Description: In the marketing realm, significant strides have been made in data management and customer information collection, evolving from manual, rigid processes to applications that are just a tap away. This evolution not only boosts revenue but also enhances customer experience. Key tech giants suc.
University of California, Berkeley via Coursera  Specialization

University of California, Berkeley

18 Courses


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Overview

Title:

Machine Learning Applied to Marketing

Description:

In the marketing realm, significant strides have been made in data management and customer information collection, evolving from manual, rigid processes to applications that are just a tap away. This evolution not only boosts revenue but also enhances customer experience.

Key tech giants such as Google, Facebook, and Apple are at the forefront of spearheading this shift, propelling the market towards altering the way customers consume data and continuously improving the sector. This transformation has gained importance as businesses rethink strategies to meet customer needs and how customers interact with their services and offerings, be it through mobile devices, the internet of things, or other mediums.

This program delves into the core aspects of digital transformation in the marketplace and the use of data science to create a competitive edge. It will cover topics including data science and engineering, data analysis tools, and fundamentals of artificial intelligence.

By the end of this program, participants will be equipped to lead a digital marketing transformation in their workplace and devise unique strategies for various challenges.

University:

University of California, Berkeley. Provider:

Coursera Specialization.

Categories:

Artificial Intelligence Courses, Machine Learning Courses, Marketing Courses, Digital Transformation Courses, Data Science Courses.


Taught by

Anderson França and William Hertz


Subjects