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IIM Indore | Executive Programme in Business Analytics and Al for Managers

IIM Indore.2 - 30 yrs.Anywhere

Fee

₹2,47,800 (Incl. taxes)

Duration

7 Months

Experience

2 - 30 yrs

Delivery Method

Online

Lead cross-functional business analytics and AI projects to drive business decisions using data-driven models, AI tools and visualization platforms like Power BI.

Course Detail

Programme Overview:

The Executive Programme in Business Analytics and Al for Managers, offered in collaboration with IIM Indore, is designed to help professionals build practical skills in analytics and Al. As organizations increasingly rely on data-driven decision-making, this programme helps managers and leaders to use Al and analytics to drive innovation, optimize business strategies, and gain a competitive advantage in their respective industries.

Objectives & Learning Outcomes

  • Master Data-Driven Decision Making: Develop a structured approach to analyzing business problems using Al and analytics. Learn to extract, process, and interpret data for evidence-based strategic decisions.
  • Gain Hands-on AI & Analytics Expertise: Work with industry-standard tools like Python, Tableau, and Power BI to perform data cleaning, visualization, and exploratory data analysis.
  • Understand Machine Learning & Al Fundamentals: Learn supervised and unsupervised machine learning models, including regression, clustering, and decision trees. Explore Al applications like Natural Language Processing (NLP) and Generative Al.
  • Apply Al in Business Functions: Discover how Al is transforming marketing, finance, operations, and supply chain management.
  • Ensure Data Privacy & Ethical Al Implementation: Understand the importance of data governance, regulatory compliance (GDPR, CCPA), and responsible Al.
  • Enhance Leadership & Strategic Thinking: Gain insights into Al adoption strategies for driving business transformation.

Desired Candidate Profile

Eligibility

  • Diploma (10+2+3), graduate, or postgraduate degree from universities recognized by the Association of Indian Universities
  • At least 50% marks in diploma, graduation, or post-graduation
  • Minimum two years of work experience after graduation

Course Modules

Learning Path & Curriculum

Foundations of Business Analytics and AI

  • Introduction to Business Analytics and Statistics
  • Data Collection, Cleaning, and Preprocessing
  • Introduction to Python for Analytics
  • Introduction to Al, GenAI & GenAl Algorithms

Essential Tools and Techniques for Business Analytics

  • Exploratory Data Analysis (EDA)
  • Machine Learning Fundamentals (Regression, Clustering, Decision Trees)
  • Al for Analytics (NLP, Real-time Data Analysis)

Advanced Analytics and Al Applications

  • Predictive and Prescriptive Analytics
  • Al-Powered Decision Making & Workflow Automation
  • Frameworks for Al-Driven Insights

Al in Practice - Business Applications

  • Marketing Analytics
  • Financial Analytics
  • Supply Chain & Operations Analytics

Privacy, Ethics, and Risk in Analytics

  • Data privacy regulations (GDPR, CCPA)
  • Mitigating bias and ensuring ethical Al adoption
  • Risk assessment and data governance

Capstone Project

Apply concepts learned to solve a real-world business problem