Integrated Programme in Business Analytics (IPBA-18)

Integrated Program in Business Analytics (IPBA-18)

Associate for Technical and Student Support: VC NOW

Programme Overview

The Integrated Programme in Business Analytics equips students with essential skills to excel in the dynamic field of business analytics. It integrates foundational business concepts with advanced analytics techniques, fostering a holistic understanding of data-driven decision-making. Key components include:

Core business disciplines that provide a basis for applying analytics in real-world contexts.
Hands-on training in data manipulation, statistical analysis, and visualization tools.
Advanced techniques for building predictive models and uncovering patterns in data.
Practical experience through real-world projects, providing insights into analytics across diverse sectors.

Programme Contents

Module 1 – Introduction to Analytics

Introduction to Analytics and CRISP DM
Data Collection and Biases

Module 2 – R

Intro to R
Generating and Using Summary Statistics
Distributions and Histograms with R
Empirical Distributions
R data manipulation
Business Case Study – R data manipulation

Module 3 – Inferential Statistics

Concepts of Probability
Discrete & Continuous distributions S
Sampling theory
Parameter estimation via confidence interval
Basics of hypothesis testing, 1-sample tests (mu, p), one-sided, two-sided, via CI, p-value
2-sample (paired & independent) tests (means), Equality of variance test
Nonparametric tests (sign test, WSRT, Mann-Whittney test), test for normality
k-sample test for mean: ANOVA, Kruskal-Wallis test
Chi-square tests for goodness of fit, independence, homogeneity
Business Case study- Descriptive + Inferential Statistics

Module 4 – SQL (MySQL server)

SQL Servers as Data Sources
Data Normalization and Consequence
Basic SQL DML Queries
SQL Joins
Business Case study – SQL DML commands

Module 5 – Feature Engineering with R

Data Exploration and Visualization in R + Data Sanity checks and treatment
Using GitHub & Kaggle to build an analytics profile

Module 6 – GLM

Linear Regression
Business Case Study – Linear Regression
Logistic Regression
Business Case Study -Logistics Regression

Module 7 – Time Series

Time Series Forecasting
Business Case study – Time Series Forecasting

Module 8: Python

Introduction to Python- Basic Data Structures
Python Basic Data Structures & Data Manipulation
Python – Data Exploration – Sanity Checks
Preparing Data Quality Reports
Python- Data Preparation -Outliers and Missing Value Treatments
Variable Profiling Using Information Value
Business Case study (EDA) – Python

Module 9: Machine Learning

Intro to Machine Learning
Tree Models – Regression Trees and Classification Trees
Feature Importance
Purity Measures – GINI
Purity Measures – Entropy MSE
Building and Pruning Trees
Ensemble Methods – Bagged
Ensembles Ensemble Methods – Random Forests
Boosting
Clustering – K Means and Hierarchical Models
Business Case study – Machine Learning algorithms

Module 10: Text Mining & Introduction to NLP

Text Handling – Reading Text Files at Scale
Using Regular Expressions to Clean Text
Handling Text Encoding Issues
Tokenization, stemming and lemmatization
POS Tagging
Parsing Grammatical Trees
Named Entity Recognition
Modeling – Text Representation, TFIDF, Count Vector
Cosine Similarity of Text Corpus
Using TFIDF features to build sentiment classifiers
Handling Image data
Business Case study – Text Mining

Module 11: Deep Learning

Neural Network
Business Case study -Neural Network

Module 12: Tableau

Tableau for Data Visualization
Models to Value
Pitfalls of Predictive Models in Business
Storytelling with Data

Module 13: Big Data

Intro to Big Data Ecosystem – Hadoop and HDFS
Querying with Hive
Intro to Spark and PySpark SQL
Business Case Study Data Engineering
Business Case Study – ML with PySpark

Module 14: BYOP

Project Presentation (BYOP)

Please Note: Modules/ topics are indicative only, and the suggested time and sequence may be dropped/ modified/adapted to fit the participant profile & amp; programme hours.

The curriculum of this 10 months online Future Leaders Program covers technical and business aspects of the application of Analytics & Data Science. It starts by laying a strong foundation of essential tools and techniques, including Descriptive and Inferential Statistics, Data Extraction and Manipulation with SQL, Data Manipulation and processing with Python & R, and Data Visualization with Tableau, Big Data and ML with Spark

Module 1: Analytics Intro and Descriptive Statistics

Module 2: R

Module 3: Inferential Statistics with Excel

Module 4: SQL(My SQL)

Module 5: Feature Engineering (R)

Module 6: GLM – Predictive Statistical Modelling in R

Module 7: Python

Module 8: Machine Learning with Python

Module 9: Text Mining & Introduction to NLP

Module 10: Big Data and Machine Learning with Spark

Module 11: Tableau – Generating Business Value with Storytelling and Insights with data visualization

Module 12: Projects

Course Highlights

Duration: 10 Months
150+ Hours divided across 12 Modules
Delivery mode: Online Live Classes
Assessments: 10+ module-level quizzes & assignments
Bring Your Own Project: 1

Bring Your Own Project (BYOP)

The BYOP feature will aid learners understand the application of tools and concepts taught during this 10-month Business Analytics program. They will get to work in groups, identify, shortlist, and finalize a project idea that they’ll work on. Learners will be mentored throughout the various stages of BYOP by an industry SME. This ensures that participants get to apply the Analytics and Big Data techniques in their projects, including Machine Learning and Predictive Analytics so that they can easily tackle real-life business problems and provide effective solutions in their professional careers.

For further information, please contact: +91-9019987000 or ipba@iimidr.ac.in.

*Please note that IIM Indore reserves the right to change the programme design, format, number of sessions, certificate format, terms in the programme or can incorporate any such change deemed necessary by the institute without prior intimation.

Pedagogy

Contextually relevant Case Studies & Discussion Methods, Encouraging Reflective Learning.
Hands-on assignments, projects, and simulations for applied learning and analytical processes.
Balancing theory and practice, enabling multi-dimensional programme analyses through immersive experiences.

Assessment

Performance of participants will be monitored on a continuous evaluation basis through quizzes, assignments, tests and examinations. The participant must score minimum marks/grades as decided by the Institute to complete the course.

Certification

Successful Completion Certificate by IIM Indore in a valedictory ceremony to be held on the campus.

Eligibility Criteria

Diploma (10+2+3)/ Graduate/ Postgraduate from Universities recognized by Association of Indian Universities with minimum 50% marks in either Diploma or graduation or post-graduation (or its equivalent) with at least two years of post- graduate work experience.

How the Courses will be delivered:

Courses will be delivered through on-line mode using an appropriate technology & synchronized platform. Lectures will be delivered through broadband based technology involving two-way audio and video communication.
Sessions will be held twice a week, generally at weekends.
Participants can attend sessions directly from their desktop/laptop (Direct-2-device).
Participants will be provided with reading materials etc. for each course. They may also interact with the concerned faculty through e-mails/ chat mode.

The academic sessions will start from January 2025. Sessions will be held on Saturdays and Sundays. The timing of the sessions:

Saturday, First session	9:00 am to 10:15 am
Saturday, Second session	10:30 am to 11:45 am
Sunday, First session	9:00 am to 10:15 am
Sunday, Second session	10:30 am to 11:45 am

The time gap between two consecutive sessions is to give the participants a break. On some days, the classes may extend beyond the mentioned time. In addition to attending interactive sessions, participants must undertake online quizzes, assignments, and examinations.Programme Activity TimelinesTotal Fees and Payment Schedule

Programme Activity Timelines

Application Closure	18^th January 2025
Tentative Date for Academic Orientation	11^th January 2025
Programme End Date	October 2025

Total Fees and Payment Schedule*

Application Fees paid at time of applying*	15,000
Programme Fee (1st installment) payable at the time of admission (excluding GST)	80,000
Programme Fee (2nd Installment) payable withinthree months of admission (excluding GST)	75,000
Programme Fee (3rd Installment) payable within six months of admission (excluding GST)	75,000
Programme Fee (4th Installment) payable within nine months of admission (excluding GST)	75,000
Total (exclusive of GST)	3,20,000/-
Overall Fees (including GST @ 18%)	3,77,600/-

*In case a participant profile is rejected by the institute, INR 12000/- is refunded to the participant and INR 3000/- of application fees

Student Privileges

The participants who complete the programme successfully will be eligible for the Executive Education Alumni status of IIM Indore. They must apply separately along with the necessary fee to register their name. Current alumni membership plans are as follows:

2-year membership – INR 1000/- + applicable taxes,
Lifetime membership – INR 10,000/- + applicable taxes,

Benefits available to Executive Education Alumni:

1) Communication of brochures and newsletters from IIM Indore

2) Access to the IIM Indore Campus Library (onsite access only)

3) Official email ID of the institute

IIM Indore reserves the right to modify the above conditions at its discretion at any time without notice.

Only the courts at Indore, India will have the territorial jurisdiction to try any disputes arising in respect of the Executive Alumni membership being granted

Apply now link – https://iimindore.vcrvcnow.in/IPBA-18/student-registration/lms.php

Web Page/brochure link – iimindore.vcnow.in/IPBA/

Speak to Academic Advisors: 8929925562

"Please note that IIM Indore reserves the right to change the programme design, format, number
of sessions, certificate format, terms in the programme or can incorporate any such change 
deemed necessary by the institute without prior intimation."

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