Programme Overview

The future of the workforce is driven by skills and an unwavering will to explore new possibilities. As organizations continue to consciously move towards a technology-driven future, Business Analysis can be found at the forefront leading this change. On the other hand, the staggering number of job opportunities is a clear indication of the acute skill gap that exists in the domain. It is imperative that professionals across all experience life cycles must engage in upskilling activities to ensure they can obtain the maximum benefit of the available opportunities.

The Executive Certificate Programme in Business Analytics from SPJIMR provides a first-of-its-kind initiative, this learning experience will bring working professionals an unparalleled and flexible learning experience. Designed with extensive LIVE online classes, it comprehensively covers Statistical Modeling, Business Analytics, Visualization, Big Data, Artificial Intelligence & Machine Learning to aid learners to become data-proficient future leaders.

Who Should Attend?

  • Early to mid-level professionals interested in building a strong foundation in modern business practices using advanced analytical approach.
  • Senior managers and consultants who have an analytical mindset and want to advance their data analytics skills for effective business decision-making.
  • Entrepreneurs keen to revitalize their business offerings by aligning customer insights towards enhancing their products and services.


Innovative Pedagogy: Practice-focus learning through individual assignments and/or group projects including pre-reads, preparation for class participation, concepts explained, application and learning through the case and discussion-led methods. The programme culminates with a Capstone Project which will integrate all the learnings through application in a real-life case scenario.


Dr. Aditi S. Divatia

Associate Professor
Information Management & Analytics
Deputy Programme Chairperson – Post Graduation Diploma in Management

Dr. Sheila Roy

Associate Professor
Operations, Supply Chain Management & Quantitative Methods

Dr. Ashutosh Jha

Assistant Professor
Information Management & Analytics
Deputy Chairperson – Fellow Programme & Research

Dr. Anil Vishnu Vaidya

Honorary Faculty
Information Management & Analytics

Dr. Sunil D Lakdawala

Visiting Faculty
Promoter & Executive Director, A3 Remote Monitoring Technologies Pvt. Ltd

Programme Modules

Module 1- Foundation of Business Analytics

Introduction to Business Intelligence & Analytics

  • Evolution of Business Analytics
  • Emergence of Business Analytics as a Competitive Strategy
  • Data Lifecycle & Data Collection Methods
  • Introduction to Big Data
  • Sources of Data
  • Building a Data Strategy to Create business value
Module 2- Descriptive Analytics & Statistical Inference
  • Tools R – (Basics, Advantages & Limitations)
  • Advance Probability and Probability Models
  • Central Tendency & Dispersion
  • Data Types & Structure, Variables & Distribution
  • Bayes Theorem
  • Central Limit Theorem & Confidence Interval
  • Hypothesis Testing
  • Linear Regression
Module 3- Diagnostic Analytics – Exploratory data analysis (EDA)
  • Importance of Self Service Analytics
  • The Art & Science behind EDA
  • Graphical Techniques (Plots, Charts, Ratios)
  • Tool: Visualization using Tableau
  • Storytelling using data
  • Crafting visual stories with data
  • Understanding the story components, story teller and audience
Module 4- Predictive & Prescriptive Analytics
  • Introduction to Business Data Mining
  • Tool: R
  • Supervised Techniques
    • Classification
    • Regression: Linear & Multivariate
  • Unsupervised Techniques
    • Clustering
    • Association (Market Basket Analysis)
    • Dimensionality Reduction
  • Business Forecasting
    • Time Series Forecasting
    • Causal forecasting
    • Simulation
    • Optimization
    • Recommendation Systems
Module 5 - Text Analytics
  • Introduction to Text Analytics & Natural Language Processing
  • Applications of NLP in Business
  • Interpretation of Text Analytics reports
Module 6- Functional Application of Analytics
  • Financial Analytics
  • Digital Media Analytics
  • Customer & Marketing Analytics
  • Operations & SCM Analytics
Module 7- AI & ML
  • Introduction to AI & ML
  • Business Application of AI & ML
  • Introduction to Deep Learning
  • Business application of Deep Learning Course Wrap-up

Programme Schedule

Day Every Saturday
Time Session i) 10:00 AM to 11:10 PM
Session ii) 11:15 PM to 12.:25 PM
Session iii) 12.30 PM to 1.40 PM

INR 140,000 + 18% GST

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