IIM Indore Integrated Programme in Business Analytics
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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.
Programme Objective
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.
Course Curriculum
Module 01
Introduction to Analytics
- Introduction to Analytics and CRISP DM
- Data Collection and Biases
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
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
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
Module 06
GLM
- Linear Regression
- Business Case Study – Linear Regression
- Logistic Regression
- Business Case Study -Logistics Regression
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
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)
Payment of Fees
Fees
| You invest | INR 3,20,000 +GST |
| Pay in | 4 Easy Instalments |
| Duration | 10 months |
| Admission Closes on | 15th September 2024 (Phase III) |
| Commencement | September 2024 |
| Convenient Timings | Every Sat & Sun IST 9:00 AM to 11:45 AM |
Important Dates
Methodology, Evaluation and Certification
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.