[mamta]

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Can you provide me the course content of the Business Analytics & Intelligence (BAI-8) Program offered by IIMB (Indian Institute of Management Bangalore)?

[prince karak]

The course of Business Analytics & Intelligence (BAI-8) Program offered by IIMB (Indian Institute of Management Bangalore) consists of nine modules and a project.

The modules and their contents are discussed in the following paragraphs. Case-based teaching will be used for all the modules using cases studies from IIMB, Harvard Business School (HBS), Darden, Ivey, and Kellogg.

Module-1

Foundations of Date Science:
Data Visualization and Interpretation (6 days)
The process of fact-based decision making requires managers to know how to summarize, analyse, conduct hypothesis tests, interpret and communicate data using data visualization and descriptive statistics techniques to facilitate decision making. Statistical analysis is a fundamental method of quantitative reasoning that is extensively used for decision making. This module is aimed at providing participants with the most often used methods of statistical analysis along with appropriate statistical tests. The module is oriented towards application without compromising the theoretical aspects.

Foundations of Data Science Module Contents
Introduction to data science; Different types and scales of data; Data summarization and visualization methods; Tables, Graphs, Charts, Histograms, Frequency distributions, Relative frequency measures of central tendency and dispersion; Box Plot; Chebychev’s Inequality.

Data visualization and story telling with data
Basic probability concepts, Conditional probability, Bayes Theorem, Probability distributions, Continuous and discrete distributions, Binomial Distribution, Uniform Distribution, Exponential Distribution, Normal distribution, Central Limit Theorem, Sequential decision making, Decision tree
Sampling and estimation: Estimation problems, Point and interval estimates, Confidence Intervals
Hypothesis testing: Constructing a hypothesis test; Null and alternate hypotheses; Test Statistic; Type I and Type II Error; Level of significance, Power of a test, ANOVA
Test for goodness of fit, Non-parametric tests.
Introduction to R and Python
Case Studies: 1. Central Parking Solutions Private Limited (IIMB Case); 2. A Dean’s Dilemma: To Admit or Not to Admit (IIMB Case)


Course Content Business Analytics & Intelligence (BAI-8) Program IIMB