Applying Data Analytics in Marketing
This course is part of Business Analytics Specialization.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Business Analytics Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
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پښتو, বাংলা, اردو, 3 more
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What you'll learn
Apply causal analysis to marketing data
Analyze survey data using regression methods
Perform text and sentiment analysis
Conduct network analysis for social media data
Make data-driven marketing decisions
Skills you'll gain
This course includes:
4.1 Hours PreRecorded video
5 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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There are 4 modules in this course
This comprehensive course introduces students to marketing analytics through various analytical tools and approaches. The curriculum covers causal analysis, survey analysis using regression, textual analysis including sentiment analysis, and network analysis. Students learn to make better marketing decisions by analyzing multiple types of data related to customer satisfaction, utilizing R programming for hands-on analysis.
Course Introduction and Module 1: Causal Analysis
Module 1 · 5 Hours to complete
Module 2 - Predictive Modeling and AI in Marketing
Module 2 · 5 Hours to complete
Module 3 - Social Media and Network Analysis
Module 3 · 5 Hours to complete
Module 4 - Consumer Demand and Preference Analysis
Module 4 · 5 Hours to complete
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Business Analytics Specialization
Instructor
Assistant Professor of Business Administration and John M. Jones Fellow of Marketing and Deloitte Scholar
Unnati Narang is an Assistant Professor of Business Administration and the John M. Jones Fellow of Marketing at the Gies College of Business, University of Illinois Urbana-Champaign. With a Ph.D. in Marketing from Mays Business School, Texas A&M University, she has established herself as a prominent figure in the field of marketing, focusing on mobile and location marketing, consumer mobility, and engagement in digital environments. Her research examines how interactions with mobile technologies influence consumer behavior in both online and offline retail contexts, utilizing methods such as causal modeling, econometrics, and machine learning.In addition to her research pursuits, Professor Narang is dedicated to teaching courses that bridge data analytics and marketing, including "Applying Data Analytics in Marketing" and "Introduction to Business Analytics: Communicating with Data." Her commitment to fostering an inclusive and engaging learning environment has earned her recognition as one of the best undergraduate professors. Unnati's innovative approach to education combines real-world applications with academic rigor, preparing her students for success in a rapidly evolving business landscape.
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Frequently asked questions
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