NOC:Marketing Analytics

Lecture 1 - Introduction to R programming

Lecture 2 - Introduction to R programming (Continued...)

Lecture 3 - Introduction to R programming (Continued...)

Lecture 4 - Introduction to R programming (Continued...)

Lecture 5 - Introduction to R programming (Continued...)

Lecture 6 - Introduction to R programming (Continued...)

Lecture 7 - What Consumers Want

Lecture 8 - What Consumers Want (Continued...)

Lecture 9 - What Consumers Want (Continued...)

Lecture 10 - What Consumers Want (Continued...)

Lecture 11 - What Consumers Want (Continued...)

Lecture 12 - What Consumers Want (Continued...)

Lecture 13 - Segmentation Targeting and Positioning

Lecture 14 - Segmentation Targeting and Positioning (Continued...)

Lecture 15 - Segmentation Targeting and Positioning (Continued...)

Lecture 16 - Segmentation Targeting and Positioning (Continued...)

Lecture 17 - Segmentation Targeting and Positioning (Continued...)

Lecture 18 - Demand Forecasting and Pricing

Lecture 19 - Demand Forecasting and Pricing (Continued...)

Lecture 20 - Demand Forecasting and Pricing (Continued...)

Lecture 21 - Demand Forecasting and Pricing (Continued...)

Lecture 22 - Pricing

Lecture 23 - Pricing (Continued...)

Lecture 24 - Pricing (Continued...)

Lecture 25 - Pricing (Continued...)

Lecture 26 - Pricing (Continued...)

Lecture 27 - Pricing (Continued...)

Lecture 28 - Pricing (Continued...)

Lecture 29 - Marketing Mix Models and Advertising Models

Lecture 30 - Marketing Mix Models and Advertising Models (Continued...)

Lecture 31 - Marketing Mix Models and Advertising Models (Continued...)

Lecture 32 - Marketing Mix Models and Advertising Models (Continued...)

Lecture 33 - Marketing Mix Models and Advertising Models (Continued...)

Lecture 34 - Recommendation Engine and Retail Analytics

Lecture 35 - Recommendation Engine and Retail Analytics (Continued...)

Lecture 36 - Recommendation Engine and Retail Analytics (Continued...)

Lecture 37 - Recommendation Engine and Retail Analytics (Continued...)

Lecture 38 - Recommendation Engine and Retail Analytics (Continued...)

Lecture 39 - Recommendation Engine and Retail Analytics (Continued...)

Lecture 40 - RFM and Market Basket Analysis

Lecture 41 - RFM and Market Basket Analysis (Continued...)

Lecture 42 - RFM and Market Basket Analysis (Continued...)

Lecture 43 - RFM and Market Basket Analysis (Continued...)

Lecture 44 - RFM and Market Basket Analysis (Continued...)

Lecture 45 - Customer Churn and Customer Lifetime Value

Lecture 46 - Customer Churn and Customer Lifetime Value (Continued...)

Lecture 47 - Customer Churn and Customer Lifetime Value (Continued...)

Lecture 48 - Customer Churn and Customer Lifetime Value (Continued...)

Lecture 49 - Customer Churn and Customer Lifetime Value (Continued...)

Lecture 50 - Customer Churn and Customer Lifetime Value (Continued...)

Lecture 51 - Text Mining and Sentiment Analytics

Lecture 52 - Text Mining and Sentiment Analytics (Continued...)

Lecture 53 - Text Mining and Sentiment Analytics (Continued...)

Lecture 54 - Text Mining and Sentiment Analytics (Continued...)

Lecture 55 - Text Mining and Sentiment Analytics (Continued...)

Lecture 56 - Text Mining and Sentiment Analytics (Continued...)

Lecture 57 - Text Mining and Sentiment Analytics (Continued...)

Lecture 58 - Text Mining and Sentiment Analytics (Continued...)

Lecture 59 - Text Mining and Sentiment Analytics (Continued...)

Lecture 60 - Text Mining and Sentiment Analytics (Continued...)

Lecture 61 - Social Network Analysis and Excel Dashboards

Lecture 62 - Social Network Analysis and Excel Dashboards (Continued...)

Lecture 63 - Social Network Analysis and Excel Dashboards (Continued...)

Lecture 64 - Social Network Analysis and Excel Dashboards (Continued...)

Lecture 65 - Social Network Analysis and Excel Dashboards (Continued...)

Lecture 66 - Social Network Analysis and Excel Dashboards (Continued...)