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Lecture 1
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Business Analytics for Management Decision
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- 1 Lecture 1
- 2 Lecture 2
- 3 Lecture 3
- 4 Lecture 4
- 5 Lecture 5
- 6 Lecture 6
- 7 Lecture 7
- 8 Lecture 8
- 9 Lecture 9
- 10 Lecture 10
- 11 Lecture 11
- 12 Lecture 12
- 13 Lecture 13
- 14 Lecture 14
- 15 Lecture 15
- 16 Lecture 16: Statistical inference
- 17 Lecture 17: Testing of Hypothesis
- 18 Lecturer 18: Testing of Hypothesis (Contd.)
- 19 Lecture 19: Confidence Interval
- 20 Lecture 20: Confidence Interval 2
- 21 Lecture 21
- 22 Lecture 22
- 23 Lecture 23
- 24 Lecture 24
- 25 Lecture 25
- 26 Lecture 26
- 27 Lecture 27
- 28 Lecture 28
- 29 Lecture 29
- 30 Lecture 30
- 31 Lecture 31 :Dummy Modelling
- 32 Lecture 32 : Dummy Modelling (Contd.)
- 33 Lectur 33 : Panel Data Model
- 34 Lecture 34 : Panel Data Model (Contd.)
- 35 Lecture 35 : Time Series Forecasting
- 36 Lecture 36 : Time Series Forecasting (Contd.)
- 37 Lecture 37 : Machine Learning
- 38 Lecture 38 : Machine Learning (Contd.)
- 39 Lecture 39 : Data Mining
- 40 Lecture 40 : Simulation
- 41 Lecture 41 : Basics
- 42 Lecture 42 : Linear Programming 1
- 43 Lecture 43 : Linear Programming 2
- 44 Lecture 44 : Special Issues of Linear Programming
- 45 Lecture 45 : Simplex Method of Linear Programming
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