Course10610636151 lectures
Business Intelligence & Analytics
Prof. Saji K Mathew · IIT Madras
Lectures
week-01
- INTRODUCTION TO BUSINESS INTELLIGENCE AND ANALYTICS | BI&A
- PATTERNS IN DATA | BI&A
- VOCABULARY OF BUSINESS ANALYTICS | BI&A
- COURSE OVERVIEW | BI&A
week-02
- CASE: Bizocity scoring at AT&T | BI&A
- BUSINESS INTELLIGENCE ARCHITECTURE | BI&A
- DATA MANAGEMENT | BI&A
- ONLINE TRANSACTION PROCESSING | BI&A
week-03
- INTRODUCTION TO SQL
- NORMALISATION
- SHOPSENSE CASE IN MySQL Workbench
- ONLINE ANALYTICAL PROCESSING | Business Intelligence & Analytics
week-04
- DESCRIPTIVE DATA ANALYTICS | Business Intelligence and Analytics
- CHURN ANALYSIS | Business Intelligence & Analytics
- CUSTOMER LIFETIME VALUE | Business Intelligence & Analytics
- NPV - CLV SPREADSHEET ANALYSIS | Business Intelligence & Analytics
week-05
- ANALYTICS PROCESS | Business Intelligence & Analytics
- INTRODUCTION TO STATISTICAL LEARNING AND DATA PRE-PROCESSING | Business Intelligence & Analytics
- DATA MINING PROCESS | Business Intelligence & Analytics
- OVERVIEW OF DATA MINING TECHNIQUES | Business Intelligence & Analytics
- ANALYTICS PROCESS CASE | Business Intelligence & Analytics
week-06
- INTRODUCTION TO CLASSIFICATION | Business Intelligence & Analytics
- SCORING MODELS | Business Intelligence & Analytics
- CLASSIFIER PERFORMANCE | Business Intelligence & Analytics
week-07
- DECISION TREES | Business Intelligence & Analytics
- ATTRIBUTE SELECTION | Business Intelligence & Analytics
- GROWING A DECISION TREE | Business Intelligence & Analytics
week-08
- DECISION TREE APPLICATION PART 1
- DECISION TREE APPLICATION PART 2
- CLASSIFICATION DEMO 1
- CLASSIFICATION DEMO 2
week-09
week-10
- IMPLEMENTATION IN PYTHON: clustering for segmentationand profiling
- RFM ANALYSIS
- TRENDHUB CASE ON RFM
- RFM AND CLUSTERING
week-11
- ARTIFICIAL NEURAL NETWORK | BI&A | Prof. Saji K Mathew
- ANN TRAINING | BI&A | Prof. Saji K Mathew
- ANN FOR FINANCIAL TIME SERIES MODELLING | BI&A | Prof. Saji K Mathew
- IMPLEMENTATION IN PYTHON: ANN | BI&A | Prof. Saji K Mathew
week-12
- INTRODUCTION TEXT MINING | BI&A | Prof. Saji K Mathew
- TEXT MINING PROCESS | BI&A | Prof. Saji K Mathew
- Text mining using R- the case of a movie discussion forum | BI&A | Prof. Saji K Mathew
Live Session
Syllabus and materials
At NPTEL, as the course publishes them.
Credits and licence
- Institution
- IIT Madras
- Department
- Computer Science and Engineering
- Teacher
- Prof. Saji K Mathew
- Level
- Undergraduate
- Language
- English
- Subjects
- Computer science, Engineering
- Source
- NPTEL
- Licence
- CC BY-NC-SA, as NPTEL states it. Non-commercial use only. NPTEL's terms
- Attribution
- NPTEL states: "Distributed under Creative Commons Attribution-ShareAlike / CC BY - NC - SA", beside a BY-NC-SA badge.
- Who can watch
- NPTEL gives no rating. Invisible Network shows it to Tweens profiles and older, judged from what the source says about it. How courses are placed
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