Build reliable supervised classifiers from marketing text and defensible human labels. Learners create coding rules, reconcile coders into gold-standard labels, transform text into predictive features, train a regularized elastic-net model, separate training from validation evidence, and use errors and learning curves to judge model quality and the value of collecting more labeled data.
Supervised Text Classification for Marketing Analytics
Ends today! Save 40% on your access to 10,000+ programs and make a real impact in your career. Save now.
Supervised Text Classification for Marketing Analytics
This course is part of Text Marketing Analytics Specialization
Instructors: Chris J. Vargo
2,340 already enrolled
Included with Learn more
Ask Coursera
Gain insight into a topic and learn the fundamentals.
Beginner level
Recommended experience
2 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Build toward a degree
What you'll learn
Distinguish supervised classification from unsupervised text-learning tasks, create a labeling codebook, and reconcile multiple coders into gold-standard labels.
Transform raw text into a model-ready predictive feature matrix and configure and train a regularized elastic-net text classifier.
Evaluate generalization with held-out validation data and appropriate classification metrics.
Interpret learning curves to identify overfitting and diminishing returns from additional labels.
Skills you'll gain
- Machine Learning
- Embeddings
- Supervised Learning
- Marketing Analytics
- Machine Learning Algorithms
- Transfer Learning
- Data-Driven Marketing
- Data Manipulation
- Feature Engineering
- Statistical Machine Learning
- Text Mining
- Applied Machine Learning
- Deep Learning
- Data Preprocessing
- Predictive Modeling
- Model Evaluation
- Model Training
Tools you'll learn
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
3 assignments
Taught in English
See how employees at top companies are mastering in-demand skills
Build your subject-matter expertise
This course is part of the Text Marketing Analytics Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
There are 4 modules in this course
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
Build toward a degree
This course is part of the following degree program(s) offered by University of Colorado Boulder. If you are admitted and enroll, your completed coursework may count toward your degree learning and your progress can transfer with you.¹
Instructors
Offered by
Explore more from Data Analysis
University of Colorado Boulder
University of Colorado Boulder
Why people choose Coursera for their career
Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."
