Business Analytics for Management Decision

PRE-REQUISITES: Basic Statistics, Basic Mathematics, and Basic Management

INTENDED AUDIENCE: Management Students

COURSE OUTLINE: Students can obtain exposure on data analysis, modeling and spreadsheet use with BUSINESS ANALYTICS for DECISION MAKING course. This course will be exclusively quantitative and an application to business/management-related problems. It is connected with problem sets and real life cases to know the relevance of a particular problem and the decision-making thereof.

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Lecture 16: Statistical inference.
Lecture 17: Testing of Hypothesis.
Lecturer 18: Testing of Hypothesis (Contd.).
Lecture 19: Confidence Interval.
Lecture 20: Confidence Interval 2.
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Lecture 31 :Dummy Modelling.
Lecture 32 : Dummy Modelling (Contd.).
Lectur 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.
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