Consequent to decades of information technology deployment, organizations today have more information at hand than ever before. But in many cases, the information is not being utilized to out-think the rivals. Thus, organizations are missing out on a potent competitive tool.
Business Analytics is about quantitative analysis and predictive modeling towards data-driven competitive strategies. Exemplars of analytics are using tools to identify their most profitable customers; offer the right price, accelerate product innovation, optimize supply chains; identifying the true drivers of financial performance etc. Organizations as diverse as HSBC, PepsiCo, Amazon, Netflix, Barclay's, Capital One, Paytm, and Procter & Gamble illuminate how to leverage the power of analytics. Competence in analytics along with the ability to handle big-data has become a critical skill for managers of the new age business organizations.
This executive long-distance programme would have modules such as Statistics and Mathematics for Business Analytics, Machine Learning, Deep Learning & GenAI, Data Platform, Data Visualization, Predictive Modelling, Financial Analytics, Marketing Analytics, Operations Analytics, and others. The overall value gained at the end of the programme is expected to build a solid foundation of business analytics, transforming multiple industrial domains.
Programme Content
Annexure A
Pre Course Module A
Fundamentals of Data and Analytics
What is data, Types of data
Introduction to data, big data, and analytics
Introduction to data analysis: Similarities and dissimilarities of descriptive, predictive, and prescriptive analytics
Fundamentals
Module 1: Data Visualization
Visualization principles and storytelling
Tools: Excel, Python
Dashboard design
Data storytelling for executives
Module 2: Statistics and Mathematics for Business Analytics
Fundamentals of ML lifecycle and business problem framing
Bias-variance tradeoff and model selection
Model evaluation metrics (ROC, AUC, precision-recall)
Feature engineering and model optimization
Module 4: AI/ML Applications in Python
Python for AI model Deployment
Storytelling using Python
Big Data analytics using Python
Module 5: Predictive Modelling Using Time Series data
Time Series data Properties: Stationarity Vs Nonstationary
Forecasting using Linear Time Series model
Forecasting using Multivariate Time series model
Advanced Topics
Module 6: Data Storage Topics: Cloud, Data Platforms
Data lakes vs data warehouses
Cloud platforms
Data storage and Management
Module 7: Supervised and Unsupervised Learning
Regression, classification models
Clustering and segmentation
Association rules and recommender systems
Ensemble methods (bagging, boosting)
Module 8: Digital Transformation and Competitive Advantage with AI & Analytics
Industry 4.0, IoT, and analytics
Predictive maintenance
Digital twins
AI in process automation (RPA + AI)
Platform business transformation using data
Module 9: ML Advances: Deep Learning , GenAI and Agentic AI
Neural networks, CNN, RNN
NLP basics
Transformers and LLMs (GPT, BERT)
Prompt engineering for business use cases
Generative AI applications (content, code, analytics automation)
Agentic AI in enterprises
Workflow with agentic AI
Business Applications of Data Analytics
Module 10: Financial Analytics
Portfolio analytics and risk-return
Algorithmic trading basics
NLP on financial reports (sentiment analysis)
Module 11: Marketing Analytics
Customer segmentation and targeting
Campaign analytics and ROI
Digital marketing analytics
Module 12: Operational Analytics
Process optimization
Supply chain analytics
Simulation models and optimization techniques
AI in logistics and demand forecasting
Module 13: Cyber Analytics
Cyber threat detection
AI in fraud detection
AI in anomaly detection
Module 14: Responsible AI & Ethics in Analytics
Bias, fairness, transparency
Explainability in AI
Data privacy and governance
AI regulations
Ethical use of GenAI in business
Module 15: Network Analytics : 3 hours
Social network Analytics
Network Centrality
Information Diffusion
Module 16: Causality and Business Impact 3 hours
Causal inference vs correlation
Causal Inference : Experimental designs
Application using Program evaluations
Capstone Project
Solve a real business problem using analytics
Industry dataset-based project
Alumni Benefits
LDP participants who complete the programme successfully become the Alumni of IIMC Executive Education, which currently has over 35,000 members.
LDP Alumni are given an email-id in the IIM Calcutta domain.
LDP Alumni can register in the IIM Calcutta Alumni portal either with this email-id or with their personal email-ids. The IIM Calcutta Alumni portal is a common platform for Alumni of all programmes of the Institute to interact with each other and stay connected with the Institute.
The Institute shares newsletters, important news and articles about the Institute and its activities, the achievements of the Institute's faculty, staff, students and alumni, upcoming events and programmes etc., on the portal.
Alumni can post their achievements, write about jobs or LIVE project opportunities for other alumni to see.
The IIM Calcutta alumni network can also be accessed on mobile phones through the mobile app.
Executive Education Alumni are entitled to a discount of 5% on the programme fee if they opt to do another LDP.
By using the different features of the IIM Calcutta portal, alumni across programmes can engage with each other in many meaningful ways. It is up to the alumni themselves to leverage the platform
Pedagogy
Pedagogy
The pedagogy will be highly interactive. It will leverage the use of technology and will consist of a judicious blend of lectures, real-life case studies, quizzes, and assignments.
The pedagogy will be highly interactive. It will leverage the use of technology and will consist of a judicious blend of lectures, real-life case studies, quizzes, and assignments.
Programme Audience
Professionals interested to build a career in Analytics. The programme would demand adequate familiarity with high-school level mathematics:
At least graduation / post-graduation with minimum 50% marks
Minimum 3 years of work experience and currently employed
Screening & selection will be done by IIMC
Professionals interested to build a career in Analytics. The programme would demand adequate familiarity with high-school level mathematics.
Testimonials
"I am a Chartered Accountant with seven years of experience in Audit and Tax. Working extensively with data across various business sectors led me to choose this course to enhance my skills and knowledge in business analytics. As a Chartered Accountant, I aim to develop analytical skills crucial for making strategic decisions within organizations, fostering professional growth and advancement in my career. The course has provided me with valuable insights into tools and software that simplify tasks and automate work processes. It has empowered me with data analytics skills, enabling me to optimize business processes, enhance decision-making, and promote a data-driven culture across departments in different companies. In my professional journey, I have achieved significant milestones, thanks to the skills, knowledge, and confidence gained through this course. Covering modules such as Mathematics, Statistics, Operational Analytics, Time Series, Predictive Modelling, Machine Learning, Big Data, Financial Analytics, and Marketing Analytics, the course provides practical examples and hands-on experience in technical aspects. This not only enhances understanding but also equips me with the skills needed for immediate application in my professional role."
Mittal Kataria
Owner-CA Mittal Kataria Co
"Embarking on the Executive Program in Business Analytics at the esteemed Indian Institute of Management Calcutta has proven to be an enlightening and transformative journey. The program's comprehensive curriculum, with a keen focus on subjects such as machine learning, big data, financial analytics, and operational analytics, has equipped me with a profound understanding of these niche technologies and methodologies. The faculty at IIM Calcutta are not only experts in their fields but also exceptional educators, skillfully unravelling the complexities of business analytics. Their ability to bridge theory with practical insights has been instrumental in shaping my analytical acumen. The incorporation of real-world applications and case studies has been a cornerstone of the program, providing me with a practical understanding of how analytics can be effectively applied to solve complex business challenges. The emphasis on hands-on learning through various projects and simulations has honed my skills, allowing me to confidently navigate the intricacies of analytics in my professional role. A standout feature of the program is its holistic approach to analytics, covering all aspects of business analysis. The subjects on financial analytics and operational analytics, in particular, have been instrumental in providing a well-rounded perspective, ensuring that I am well-prepared to tackle diverse challenges in the corporate landscape. The program's structure, seamlessly blending online and on-campus sessions, accommodates the needs of working professionals. This flexibility, coupled with the rich diversity of the cohort, has facilitated meaningful networking and knowledge exchange. Interacting with professionals from various industries has broadened my perspective on the application of analytics in different business contexts. In essence, the Executive Program in Business Analytics at IIM Calcutta has been a catalyst for professional growth. The knowledge gained in subjects like machine learning, big data, financial analytics, and operational analytics has not only kept me ahead in niche technologies but has also empowered me to make strategic contributions to my organisation's analytical capabilities. I wholeheartedly recommend this program to any professional seeking to excel in the dynamic field of business analytics. The program's depth, faculty expertise, and its meticulous attention to covering all aspects of business analysis make it an exceptional choice for those aiming to make a meaningful impact in the realm of analytics. I express my sincere gratitude for the enriching experience and am confident that the skills acquired will continue to propel my career forward. Nishita Sunil Parte Digital CoE India Leader Veolia Water Technologies and Solutions"
Nishita Parte
Batch: Batch 12
"I am Divya and working in IT infrastructure technology in Backup. Basically I preferred this course due to the client facing role as I have always been in client facing. This course made me to know the adverse technology used behind the roles .It made me more confident to make it technically sound and confident"
Divya Ranjan
Digital CoE India Leader-Veolia Water Technology Solutions Pvt. Ltd
"This program has been nothing short of transformative, both professionally and personally. As a professional seeking to harness the power of data and analytics in today's rapidly evolving business landscape, I was fortunate to enrol in this program. The curriculum, delivered by exceptional faculty, is nothing less than outstanding. It covers a comprehensive spectrum of topics, from statistical analysis and machine learning to data visualization and strategic decision-making. The depth of knowledge and practical skills I have gained has been invaluable. One of the program's standout features is its commitment to real-world applicability. Throughout the course, I was challenged with hands-on projects and case studies that allowed me to apply my learning directly to my work. This experiential approach bridged the gap between theory and practice, equipping me with the skills to drive data-centric strategies within my organization. Furthermore, the diverse cohort of fellow professionals from various industries enriched the learning experience. Collaborative discussions and the exchange of ideas were not only encouraged but also integral to the program's success. Networking with such a talented group of individuals has expanded my horizons and provided valuable insights into different business domains. In addition to the academic rigor, the support and guidance provided by the program's administration and faculty were exceptional. They were always available to address questions, help, and ensure a smooth learning journey. IIM Calcutta's Executive Program in Business Analytics has been instrumental in enhancing my analytical capabilities, strategic thinking, and overall career trajectory."
Leonard Sanjeev Gomes
Batch: 12
"My name is Sahana Venkatesh and I have close to 5 years of experience in the retail domain. I work with different types of data to understand retail scenarios and choose this course in order to help me understand how I can derive meaningful insights from data to make informed business decisions. The topics covered such as predictive modelling, supply chain and pricing analytics is something that I can use in my daily work now. I was able to successfully test out a pricing model basis course teachings I would recommend this course as this has a holistic view of business decision making using data along with real life examples.The professors are well versed and approachable and the course provides you an extensive network of peers to interact and learn from"
Sahana Venkatesh
IT Analyst
"For my career growth i have needed this course. as i was verymuch interested in business development line rather than code development , i made my self happy with the course but now after studying this , i am quite happy and glad to choose it because it made my knowledge 100% more clear for my idea towords growth in business analyst and a cheerful person to give my self a satisfaction that i have learnt the best out of all."
Alisha patro
Batch: 12
"Excellent!!As a whole this program uncovered a newer and advanced area in the field of data analytics apart from descriptive analytics which I was doing for long now. Obviously knowledge gained from this course will allow me to venture new career opportunities in near future."
Sudipta Saha
Senior Territory Sales-Brillon Consumer Product formerly known as SC Johnson
"I have gained theoretical and functional knowledge about the domain of business analytics as a whole and I am very confident to apply all these learnings in my job. This course has made me well versed and confident to pursue business analytics as a career in future."
Utkarsh Shankar
Batch: 12
"Overall experience with business analytics course was good, this will help me in entering the field of analytics and I will be able to apply the knowledge in my upcoming projects. I have learned the importance of data as an asset and how proper analysis and visualisation of data in real world can help businesses take crucial decisions. I am very happy and proud to have completed the program, I think this will help a lot in my career and will give me a direction to proceed in my professional career ahead. I have gained a skill which will make me stand out from the crowd."
Bhuvan Nagpal
Data Analyst
"Hypothesis Testing, Machine Learning Techniques, Marketing Strategies are modules closely related to my profession. These modules have been very helpful in improving my learning curve. A journey that I would really cherish throughout my life. Happy to be a part of IIMC."
Abhishek Sinha
Batch: 12
"undefined"
Anonymous
systems engineer
"undefined"
Anonymous
Batch: 12
"undefined"
Anonymous
Associate, Tata Consultancy Services Limited
"undefined"
Anonymous
Batch: EPBA 10
"undefined"
Anonymous
IT Analyst, Opicle Technologies Pvt Ltd
"undefined"
Anonymous
Manager-Business Analytics, FIS
"undefined"
Anonymous
Information Security Engineer - Sr, Cartrack Technologies South East Asia Pte Ltd
