IIM Indore – IIMI Integrated Programme in Business Analytics
(IPBA) - Batch 18
The Integrated Programme in Business Analytics is designed to equip professionals with the skills to leverage data for strategic decision-making. Covering key areas like data analysis, machine learning, predictive modeling, and visualization, the programme helps participants develop a deep understanding of analytics tools and techniques. With a practical, hands-on approach, it enables learners to apply analytics to solve real-world business problems and drive performance across various sectors. This comprehensive programme is ideal for those looking to enhance their data-driven decision-making skills and advance in analytics-driven roles.
The current batch is closed. Please enter your details here and we will update you on next batches
Programme Highlights
Module
3 Days of On-Campus Module
Alumni Status
IIM-I Executive Education Alumni Status (T&C Applicable)
Certificate
Get a Certificate of Completion by IIM-Indore (T&C Applicable)
Mode
Live Online Lectures
Mode of Instruction
English
Duration
10 months
Utilizing a proven pedagogy developed by the esteemed faculty at IIM-I, refined through industry Programmes offered over the past two decades. Successful completion of the Programme bestows participants with the prestigious IIM Indore Executive Education Alumni status. Participants will experience 3 days of Intensive Learning at the IIM Indore Campus, situated atop a scenic hillock conducive to contemplative learning. The Programme incorporates insightful use cases and a discussion-led, hands-on learning approach, culminating in a Capstone Project. The Programme facilitates networking opportunities with industry peers.
Programme Overview
The Integrated Programme in Business Analytics equips participants 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.
Course Curriculum
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Module 01
Introduction to Analytics
- Introduction to Analytics and CRISP DM
- Data Collection and Biases
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Module 02
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
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Module 03
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-Whitney 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 04
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 05
Feature Engineering with R
- Data Exploration and Visualization in R + Data Sanity checks and treatment
- Using GitHub & Kaggle to build an analytics profile
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Module 06
GLM
- Linear Regression
- Business Case Study – Linear Regression
- Logistic Regression
- Business Case Study -Logistics Regression
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Module 07
Time Series
- Time Series Forecasting
- Business Case study – Time Series Forecasting
-
Module 08
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 09
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
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Module 11
Deep Learning
- Neural Network
- Business Case study -Neural Network
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Module 12
Tableau
- Tableau for Data Visualization
- Models to Value
- Pitfalls of Predictive Models in Business
- Storytelling with Data
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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)
Programme Objective
Our program is anchored on the dynamic 5P Framework, a strategic roadmap designed to equip participants with the essential skills and strategies vital for success in the realm of business analytics. Each “P” delineates a critical phase in the learning journey, fostering a comprehensive grasp and effective application of analytical techniques:
[Plan]
Lay the groundwork for success
Define objectives and stakeholders
Outline a clear roadmap
[Process]
Dive into data processing and analysis
Employ advanced techniques
Ensure accuracy and reliability
[Probe]
Delve deep into data exploration
Uncover hidden insights and patterns
Validate hypotheses
[Present]
Craft compelling visualizations and narratives
Communicate insights with impact
Empower stakeholders to make informed decisions
[Propel]
Drive change and innovation
Lead transformative initiatives
Harness analytics for sustainable growth
Your Pathway to a Versatile and Rewarding Healthcare Career
Drive strategic insights and optimize processes.
Unlock the potential of data for career success.
Lead transformation in analytics-driven decision-making.
Gain expertise in data-driven decision-making and machine learning.
Drive strategic insights and optimize processes.
Unlock the potential of data for career success.
Lead transformation in analytics-driven decision-making.
Benefits available to Executive Education Alumni
- Communication of brochures and newsletters from IIM Indore
- Access to the IIM Indore Campus Library (onsite access only)
- Official email ID of the institute
- ID Card
Mere successful completion of the programme, application submission, and fee do not entitle a participant to be eligible for executive education alumni status. IIM Indore reserves the right to confer or withhold executive education alumni status.
IIM Indore reserves the right to modify the above conditions at its discretion at any time without notice.
What is the attendance criteria?
Participants will be selected on the basis of their overall profile and eligibility criteria stated as a pre-requisite for the programme.
Select applicants may be interviewed by Programme Directors, if required
The Institute has laid down an attendance criterion to be followed by participants attending the programme.
A minimum of 75 % overall attendance is required by the participant in order to complete the programme.
Participants will not be awarded any certificate if they do not maintain the requisite attendance (75%). In this case the status of the participant will be “incomplete”.
Important Dates
Who Should Apply
- Professionals with more than 2 years of experience, seeking to enhance their expertise in data-driven decision-making.
- Entrepreneurs aiming to leverage analytics tools and techniques to optimize their business processes and drive strategic growth.
- Graduates from diverse backgrounds looking to transition into the field of business analytics.
- Individuals seeking to upskill or reskill for career advancement in analytics-driven industries.
Pedagogy
The programme emphasizes application and learning through case and discussion methods, encouraging participants to learn by actively engaging in assignments and projects. Simulations will play a crucial role in refining analytical skills, enabling participants to develop the ability to analyze problems from multifunctional perspectives. The culmination of the programme will be a Capstone Project, in which all the acquired knowledge will be applied to a real-life case scenario, integrating the various aspects of learning.
How to Apply
Step 1Register for the Programme
Step 2Pay the Application Fee
Step 3Login to the Portal and complete your documentation
Step 4Institute will respond to the Application
Step 5Post the Offer Letter – Complete your 1st instalment and commence your batch
Payment of Fees
Fees
| Application Fee | INR 15000 + GST |
| Programme Fee | INR 3,20,000 + GST |
Programme Fee and Campus Module Charges
|
Instalment 1
Payable at the time of Admission
INR 80,000 + GST
|
Instalment 2
INR 75,000 + GST
|
Instalment 3
INR 75,000 + GST
|
Instalment 4
INR 75,000 + GST
|
Total Fees
INR 3,20,000 + GST
|
Please note:
Additional GST (currently at 18%) will be applicable on all above amounts. Any additional payment due to change in any of the applicable govt. taxes during the tenure of the programme will have to be borne by the participants.
All fees (including application fee) are non-refundable.
Payment of all fees should be made in favour of Unified Collaboration Services LLP. VCNow is a brand owned by Unified Collaboration Services LLP
Loan Assistance
Loans from financial institutions are available for pursuing this programme. If you need assistance with availing a loan, connect with Programme Advisors on (+91) 8929010853 (9 am to 9 pm).
Methodology, Evaluation and Certification
The progress of participants will be continuously assessed through quizzes, assignments, tests, and examinations. Participants must achieve a minimum score/grade, determined by the Institute, to successfully complete the course.
The participants who will complete the programme successfully will be eligible for the Certificate of Completion & Executive Education Alumni status of IIM Indore. They will be required to 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
4) ID Card
Mere successful completion of the programme, application submission, and fee does not entitle a participant to be eligible for executive education alumni status. IIM Indore reserves the right to confer or withhold executive education alumni status.
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.
About Institute
- IIM Indore is among the top 5 IIMs in the country and among the top 100 MBA schools globally
- Among 1% of MBA schools globally to be bestowed with the prestigious ‘triple crown’ from AMBA (UK), AACSB (USA), and EQUIS (European Union).
- Ranked 3rd among IIMs for both Open and Customised Executive Education Programmes in the FT Executive Education Rankings 2024.
About VC Now & Assistance
VCNow, a flagship initiative by Unified Collaboration Services LLP, is dedicated to delivering high-quality executive education through strategic partnerships with top business schools such as IIMA, IIMC, IIML, IIMI, IIMN, SPJIMR, XLRI, and more. Our mission is to equip executives with the advanced knowledge and skills needed to excel in today’s dynamic business environment.
Our programmes encompass a wide range of technical and management domains, tailored to meet professional development goals. Delivered by esteemed faculty, our courses blend academic rigor with practical insights.
Key Highlights:
20000+ Executives Empowered
30 centres across India
Partners To Top B-Schools Nationwide
15 Years of Excellence
FAQs
Explain the pedagogy of this course.
- 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.
Could you tell me more about the Executive Alumni Status of IIM Indore?
The participants who will complete the programme successfully will be eligible for the Executive Education Alumni status of IIM Indore. Benefits available to Ex-ed alumnus will be as follows:
- 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
- 4) ID Card
Mere successful completion of the programme, application submission, and fee do not entitle a participant to be eligible for executive education alumni status. IIM Indore reserves the right to confer or withhold executive education alumni status.
IIM Indore reserves the right to modify the above conditions at its discretion at any time without notice.
Is there any fee that needs to be paid to register with IIM Indore’s executive alumni status?
Pariticipants will be required to 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
Can I know more about the complete fee structure?
| Fee Towards | Deadline | Amount |
|---|---|---|
| Application Fee* | At the time of registration | ₹ 15,000 |
| Programme Fee (1st Installment) | Payable at the time of admission (excluding GST) | ₹ 80,000 |
| Programme Fee (2nd Installment) | Payable within 3 months of admission (excluding GST) | ₹ 75,000 |
| Programme Fee (3rd Installment) | Payable within 6 months of admission (excluding GST) | ₹ 75,000 |
| Programme Fee (4th Installment) | Payable within 9 months of admission (excluding GST) | ₹ 75,000 |
| Total Fees Exclusive of GST | – | ₹ 3,20,000 |
Who will benefit from the programme?
- Professionals with more than 2 years of experience, seeking to enhance their expertise in data-driven decision-making.
- Entrepreneurs aiming to leverage analytics tools and techniques to optimize their business processes and drive strategic growth.
What is the attendance criteria?
Participants are expected to attend all sessions of a given course. Participants may take leave on account of emergencies, subject to the approval of the Programme Coordinator. However, a 75% minimum attendance requirement would be considered for the final grading.