Learn · Business Analytics For Management Decision
Lecture 15 of 62Week 3
Lecture 15 : Descriptive Analytics (Contd.)
Prof. Rudra P Pradhan · IIT Kharagpur
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- Business Analytics For Management Decision, IIT Kharagpur (at NPTEL)
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All the lectures
- 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
- 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
- Lecture 11 : Descriptive Analytics
- Lecture 12 : Descriptive Analytics (Contd.)
- Lecture 13 : Descriptive Analytics (Contd.)
- Lecture 14 : Descriptive Analytics (Contd.)
- Lecture 15 : Descriptive Analytics (Contd.)
- Lecture 16: Statistical inference
- Lecture 17: Testing of Hypothesis
- Lecture 18: Testing of Hypothesis (Contd.)
- Lecture 19: Confidence Interval
- Lecture 20: Confidence Interval 2
- 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
- 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
- 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
- Lecture 36: Time Series Forecasting (Contd.)
- Lecture 37: Machine Learning
- Lecture 38: Machine Learning (Contd.)
- Lecture 39: Data Mining
- Lecture 40: Simulation
- 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
- Lecture 46. : Linear programming basics
- Lecture 47 : Optimality and sensitivity analysis
- Lecture 48 : Duality
- Lecture 49 : Dual simplex
- Lecture 50 : Integer programming I
- Lecture 51 : Integer programming II
- Lecture 52 : Integer programming III
- Lecture 53 : Goal programming
- Lecture 54 : Nonlinear programming I
- Lecture 55 : Nonlinear programming II
- 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 01-04-2021
- Live Session 03-03-2020