Machine Learning for Marketers (Coursera)

The course also covers campaign analysis through rigorous testing methods like cross-validation, ensuring the reliability of marketing strategies. A key feature of this course is its coverage of unsupervised learning algorithms, enabling learners to uncover hidden patterns in marketing data for sophisticated customer segmentation and market analysis. Additionally, the course discusses optimizing product positioning using dimensionality reduction techniques and improving personalized customer experiences through recommender system technology.

What you'll learn

Apply machine learning to improve targeted marketing & strategic decision-making. Analyze & forecast customer behaviors using advanced algorithms.

Syllabus

Supervised Learning for Strategic Marketing

Apply supervised learning to discover and visualize patterns in customer behaviors and refine your marketing strategies. This module equips you with the tools to improve predictive accuracy and tailor marketing efforts for maximum impact.

CART Tree Analysis

Transform your marketing approach with CART tree analysis. Learn to segment customers precisely and predict campaign responses, optimizing your marketing resources and strategies for better customer engagement and retention.

Improving the Accuracy of Predictions

Advance your predictive capabilities in marketing. This module teaches you to enhance model accuracy, tackle data imbalances, and select the most effective strategies, ensuring your marketing campaigns hit the mark every time.

Unsupervised Learning

Apply unsupervised learning to uncover hidden patterns in marketing data. Use techniques such as Principal Components Analysis for insightful segmentation and personalized marketing strategies that can elevate customer engagement and lifetime value (LTV).