Learning Outcomes

Recommendation Engine

Collaborative Filtering

Hands-On Item Collaborative Filtering

User Collaborative Filtering

Application of Recommendation Engine

Working with Sparse Datasets

Lesson Summary

In this module, you will be introduced to the concept of recommendation engine and retail analytics in marketing. You will also be introduced to the features of collaborative filtering in marketing analytics as well as the problems faced in the retail analysis.

Recency Frequency Monetary Technique

Recency Frequency Monetary Analysis in R

Market Basket Analysis

Data Mining Technique

Market Basket Analysis Hands-On

In this module, you will be introduced to the concept of recency frequency monetary and market basket analysis, as well as the use of RFM and market basket analysis for different life situations.  You will also be introduced to the methods of doing simple analytics that is not focused on predictions.

Recommendation Engine in Marketing Analytics.  - Corse Assessment

Recommendation engines, the concept of RFM and market basket analysis are covered in this free online marketing course.

Recommendation Engines in Marketing Analysis

Recommendation Engines in Marketing Analysis is a free online course that offers you an in-depth understanding of recommendation engines and retail market analytics. You will learn about RFM (recency, frequency, monetary) research, market basket analysis for retailers, and some problems faced in retail analysis. Register for this course today and take your marketing analytics skills to the next level.

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