NOC:Business Intelligence and Analytics

Lecture 1 - Introduction to Business Intelligence and Analytics

Lecture 2 - Patterns in Data

Lecture 3 - Vocabulary of Business Analytics

Lecture 4 - Course Overview

Lecture 5 - Case: Bizocity Scoring at AT&T

Lecture 6 - Business Intelligence Architecture

Lecture 7 - Data Management

Lecture 8 - Online Transaction Processing

Lecture 9 - Introduction To SQL

Lecture 10 - Normalisation

Lecture 11 - Shopsense Case in MySQL Workbench

Lecture 12 - Online Analytical Processing

Lecture 13 - Descriptive Data Analytics

Lecture 14 - Churn Analysis

Lecture 15 - Customer Lifetime Value

Lecture 16 - NPV-CLV Spreadsheet Analysis

Lecture 17 - Analytics Process

Lecture 18 - Introduction to Statistical Learning and Data Pre-Processing

Lecture 19 - Data Mining Process

Lecture 20 - Overview of Data Mining Techniques

Lecture 21 - Analytics Process Case

Lecture 22 - Introduction to Classification

Lecture 23 - Scoring Models

Lecture 24 - Classifier Performance

Lecture 25 - Decision Trees

Lecture 26 - Attribute Selection

Lecture 27 - Growing a Decision Tree

Lecture 28 - Decision Tree Application - Part 1

Lecture 29 - Decision Tree Application - Part 2

Lecture 30 - Classification Demo - 1

Lecture 31 - Classification Demo - 2

Lecture 32 - Cluster Analysis

Lecture 33 - Clustering Techniques - Part 1

Lecture 34 - Clustering Techniques - Part 2

Lecture 35 - K-Means Clustering

Lecture 36 - Implementation in Python: Clustering for segmentation and profiling

Lecture 37 - RFM Analysis

Lecture 38 - Trendhub Case on RFM

Lecture 39 - RFM and Clustering

Lecture 40 - Artificial Neural Network

Lecture 41 - ANN Training

Lecture 42 - ANN for Financial Time Series Modelling

Lecture 43 - Implementation in Python: ANN

Lecture 44 - Introduction Text Mining

Lecture 45 - Text Mining Process

Lecture 46 - Text mining Using R - The Case of a Movie Discussion Forum