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Lecture 1

Lecture 2

Lecture 3

Lecture 4

Lecture 5

Lecture 6

Lecture 7

Lecture 8

Lecture 9

Lecture 10

Lecture 11

Lecture 12

Lecture 13

Lecture 14

Lecture 15

Lecture 16: Statistical inference

Lecture 17: Testing of Hypothesis

Lecturer 18: Testing of Hypothesis (Contd.)

Lecture 19: Confidence Interval

Lecture 20: Confidence Interval 2

Lecture 21

Lecture 22

Lecture 23

Lecture 24

Lecture 25

Lecture 26

Lecture 27

Lecture 28

Lecture 29

Lecture 30

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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Description:

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.

Business Analytics for Management Decision

NPTEL

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#Business #Business Intelligence #Data Science #Data Mining #Computer Science #Machine Learning #Mathematics #Statistics & Probability #Hypothesis Testing #Confidence Intervals #Statistical Inference #Data Analysis #Time Series Analysis #Time Series Forecasting

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