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...)