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University of Illinois Urbana-Champaign

Applying Data Analytics in Marketing

This course introduces students to marketing analytics as a data-driven approach to solving real-world marketing problems. It covers four key areas: causal analysis (identifying cause-and-effect in marketing interventions), predictive modeling and AI (forecasting customer behaviors using machine learning), social media analysis (extracting insights from online consumer interactions through text and network analysis), and consumer demand and preference analysis (estimating preferences, demand, and customer lifetime value). Students will gain hands-on experience using Python to analyze diverse data sources, apply advanced analytics techniques, and generate actionable insights to support strategic marketing decisions.

Status: Generative AI
Status: Data-Driven Marketing
IntermediateCourse16 hours

Featured reviews

YY

Reviewed Nov 2, 2019

it was a perfect course , which gave me the full picture of how to make a marketing testing and evaluation

SN

Reviewed Apr 3, 2025

Very much learning course, got to know about many things .

SS

Reviewed Jan 3, 2021

Very informative. Good beginning to start the journey into analytics for marketers.

YC

Reviewed Jul 6, 2020

If the peer reviews were done faster it would be better

DR

Reviewed May 6, 2024

Can you verify my peer assignment and give certificate as soon as possible,thank you

KK

Reviewed Aug 25, 2020

Very informative and nice presentation and interactive sessions.

YC

Reviewed Nov 26, 2020

This course is really insightful. Explanation done very well, quizzes is related and challenging. Although I suggest you have a statistical background before taking this course

All reviews

Showing: 20 of 44

Soumen
3.0
Reviewed Oct 4, 2020
Yash
4.0
Reviewed Jul 7, 2020
Maria
5.0
Reviewed Apr 18, 2021
Betari
5.0
Reviewed Sep 27, 2020
DUGYALA
5.0
Reviewed May 6, 2024
Yogi
5.0
Reviewed Nov 27, 2020
Yasser
5.0
Reviewed Oct 11, 2020
Juliane
5.0
Reviewed May 21, 2020
Yseen.Moustafa
5.0
Reviewed Nov 3, 2019
Sandeep
5.0
Reviewed Jan 4, 2021
kutty
5.0
Reviewed Aug 26, 2020
SOUMODEEP
5.0
Reviewed Apr 4, 2025
Devendra
5.0
Reviewed Jul 28, 2022
Le
5.0
Reviewed Apr 29, 2020
Simon
5.0
Reviewed Nov 15, 2020
Dinara
5.0
Reviewed Oct 20, 2022
HARSHALI
5.0
Reviewed Apr 8, 2025
susmi
5.0
Reviewed Apr 2, 2021
Suman
5.0
Reviewed Sep 29, 2019
GILBERT
5.0
Reviewed Oct 23, 2019