Course11010508962 lectures
Business Analytics For Management Decision
Prof. Rudra P Pradhan · IIT Kharagpur
Lectures
Week 1
- Lecture 1: Introduction to Business Analytics
- Lecture 2: Framework of Business Analytics
- Lecture 3: Data Structure
- Lecture 4: Decision Models
- Lecture 5: Problem solving and Decision making
Week 2
- Lecture 6: Data structure and data view
- Lecture 7: Use of Microsoft excel functions
- Lecture 8: Examples with excel functions
- Lecture 9: Data visualization
- Lecture 10: Data Analysis
Week 3
- Lecture 11 : Descriptive Analytics
- Lecture 12 : Descriptive Analytics (Contd.)
- Lecture 13 : Descriptive Analytics (Contd.)
- Lecture 14 : Descriptive Analytics (Contd.)
- Lecture 15 : Descriptive Analytics (Contd.)
Week 4
- Lecture 16: Statistical inference
- Lecture 17: Testing of Hypothesis
- Lecture 18: Testing of Hypothesis (Contd.)
- Lecture 19: Confidence Interval
- Lecture 20: Confidence Interval 2
Week 5
- Lecture 21 : Hypothesis Testing for Multiple Samples
- Lecture 22 : Hypotheses Testing for Multiple Sample Case
- Lecture 23 : Hypotheses Testing for Two Sample Proportion
- Lecture 24 : Analysis of Variance (ANOVA)
- Lecture 25 : Analysis of Variance 2
Week 6
- Lecture 26 : Simple Regression Analysis
- Lecture 27 : Simple Regression Analysis(Contd.)
- Lecture 28 : Multiple Regression Analysis
- Lecture 29 : NonLinear Regression Analysis
- Lecture 30 : Diagnostics of Regression Modelling
Week 7
- Lecture 31 : Dummy Modelling
- Lecture 32 : Dummy Modelling (Contd.)
- Lecture 33 : Panel Data Model
- Lecture 34 : Panel Data Model (Contd.)
- Lecture 35 : Time Series Forecasting
Week 8
- Lecture 36: Time Series Forecasting (Contd.)
- Lecture 37: Machine Learning
- Lecture 38: Machine Learning (Contd.)
- Lecture 39: Data Mining
- Lecture 40: Simulation
Week 9
- Lecture 41 : Basics
- Lecture 42 : Linear Programming 1
- Lecture 43 : Linear Programming 2
- Lecture 44 : Special Issues of Linear Programming
- Lecture 45 : Simplex Method of Linear Programming
Week 10
- Lecture 46. : Linear programming basics
- Lecture 47 : Optimality and sensitivity analysis
- Lecture 48 : Duality
- Lecture 49 : Dual simplex
- Lecture 50 : Integer programming I
Week 11
- Lecture 51 : Integer programming II
- Lecture 52 : Integer programming III
- Lecture 53 : Goal programming
- Lecture 54 : Nonlinear programming I
- Lecture 55 : Nonlinear programming II
Week 12
- Lecture 56 : Introduction to decision theory
- Lecture 57 : Decision making under uncertainty
- Lecture 58 : Decision making under certainty
- Lecture 59 : Decision tree
- Lecture 60 : The value of information and utility theory
Live Session
Syllabus and materials
At NPTEL, as the course publishes them.
Credits and licence
- Institution
- IIT Kharagpur
- Department
- Management
- Teacher
- Prof. Rudra P Pradhan
- Level
- Undergraduate
- Language
- English
- Subjects
- Business and management
- 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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