Business-Intelligence-Analytics

NPTEL Swayam Course: https://nptel.ac.in/courses/106106361

Week 1

Introduction to Business Intelligence & Analytics (BIA), drivers of BIA, types of analytics: descriptive to prescriptive, vocabulary of business analytics,

Week 2

Technical architecture of BIA, case analysis of AT&T Long distance, fundamentals of data management, OnLine Transaction Processing (OLTP), design process of databases

Week 3

Relational databases, normalisation, SQL queries, ShopSense case of management questions, data warehousing, OnLine Analytical Processing (OLAP), data cube

Week 4

Descriptive analytics, and visualization, customer analytics, survival analysis, customer lifetime value, case study

Week 5

Data mining process, introduction to statistical learning, data pre-processing, data quality, overview of data mining techniques, case study using regression analysis

Week 6

Introduction to classification, classification techniques, scoring models, classifier performance, ROC and PR curves

Week 7

Introduction to decision trees, tree induction, measures of purity, tree algorithms, pruning, ensemble methods

Week 8

Tree implementation in Python: problem of targeted mailing

Week 9

Cluster analysis, measures of distance, clustering algorithms, K-means and other techniques, cluster quality

Week 10

A store segmentation case study using clustering, implementation in Python, profiling clusters, cluster interpretation and actionable insights, RFM sub- segmentation for customer loyalty

Week 11

Machine learning, Artificial Neural Networks (ANN), topology and training algorithms, back propagation, financial time series modelling using ANN, implementation in Python

Week 12

Text mining, process, key concepts, sentiment scoring, text mining using R-the case of a movie discussion forum, summary