Overview

Grow a career in data analytics. Develop an in-depth understanding of Artificial Intelligence, Machine Learning, and Deep Learning.

The Certificate Programme in Business Analytics for Strategic Business Decisions from S. P. Jain Institute of Management and Research, Mumbai (SPJIMR) provides a sequential modular approach in transforming data into business insights for impactful data-driven business decision-making. Build your capability in data analytics, business intelligence tools and their real-world applications across multiple domains, to gain effective data-driven problem-solving skills.

Highlights

  • Earn a Certificate of Completion and Executive Alumni Status from SPJIMR
  • Immersive Learning Journey with Real-world Case Studies, Quizzes, and Assignments
  • Learn from Eminent SPJIMR Faculty & Distinguished Industry Professionals
  • Personalized Career Services from Eruditus
  • 8-Industry-oriented Modules with a Hands-on Project
  • Easy EMI Payment Options Available

Programme Directors

Dr. Saswat Patra

Assistant Professor, Finance & Economics

Director – Central Examination & Project Lead (Analytics Major)

Dr Saswat Patra is a faculty in the Finance area at SPJIMR. He has completed FPM from Indian Institute of Management, Bangalore and holds a master’s degree in Business Administration from Institute of Management Technology, Ghaziabad. His academic career spans 5 years, in which he has taught courses in the area of Finance including Corporate Finance, Financial Risk Management, and Financial Modelling.

He has extended his research contributions in conference presentations held in India and Middle East that cover topics such as Financial Derivatives, Volatility Modelling, Risk Management, and Financial Time Series. His articles have been published in leading Finance journals and periodicals. He is currently the Director for Central Examination and is also the Project Lead for Analytics Specialization (PGPM) at SPJIMR.

Dr. Anil Vaidya

Professor, Information Management & Analytics

Dr. Anil Vaidya holds a Doctor of Business Administration from the University of Bradford, UK. His dissertation was in the Information Systems and Technology Strategy. He has pursued his MBA from the University of Akron, Ohio, USA. He has more than 45 years of the overall experience, with 35 years of industry engagement in senior IT management and leadership roles.

In these roles, he managed a cluster of countries spanning across the Indian Subcontinent along with Australia & New Zealand for Philips, then moved on to Regional and Global roles based in Philips HQ in Netherlands.  His professional services have been widely recognised and acclaimed with awards including Best CTO, MIS Asia Innovation, and Top 10 Tech Managers of India.

Dr. Ashutosh Jha

Assistant Professor, Information Management & Analytics
Associate Head – Office Of Research & Innovation

Dr. Ashutosh Jha holds a Ph.D. from the Indian Institute of Management, Calcutta, with specialisation in Management Information Systems. He has 11 years of industry experience with leading technology firms, prior to joining academics in 2020.

He has a passionate research interest in Mobile Networking and Services, with extended enthusiasm for emerging policy frameworks for technology innovations and e-governance. He is a fervent researcher and has persistently produced intellectual contributions through publications, case studies, book chapters, and conference presentations.

Dr. Sheila Roy

Associate Professor, Operations Supply Chain Management & Quantitative Methods

Dr. Sheila Roy holds a Ph.D. from the Indian Institute of Technology, Bombay. Her doctoral research focused on Service Operations and Management. She holds a master’s in Business Administration from the Indian Institute of Management, Bangalore. She is a faculty in Operations Supply Chain Management & Quantitative Methods at SPJIMR. In her professional career spanning 28 years, she worked in Information Technology, Finance, Insurance, Consulting, and Hospitality.

Curriculum

Module 1Foundation of Business Analytics
  • Introduction to Business Intelligence & Analytics
  • Evolution of Business Analytics
  • Emergence of Business Analytics as a Competitive Strategy
  • Data Life Cycle & Data Collection Methods
  • Introduction to Big Data
  • Sources of Data
  • Building a Data Strategy to Create Business Value
Module 2Descriptive Analytics & Statistical Inference
  • Introduction to R – Basics, Advantages & Limitations
  • Tools: R
  • Advance Probability and Probability Models
  • Central Tendency & Dispersion
  • Data Types & Structure
  • Variables & Distribution
  • Bayes’ Theorem
  • Random Variables
  • Central Limit Theorem & Confidence Interval
  • Hypothesis Testing
Module 3Principle Components of Predictive Analytics
  • Tools: R
  • Introduction to Business Data Mining
  • Regression: Linear & Multivariate Classification
  • Time Series & Forecasting Clustering
  • Dimensionality Reduction – PCA
Module 4Principle Components of Prescriptive Analytics
  • Simulation
  • Optimisation
  • Recommendation System
Module 5EDA, Visualisation & Storytelling
  • The Science behind EDA
  • Graphical Techniques (Plots, Charts & Ratios)
  • Tools: Visualisation using Tableau
  • Storytelling: Pitch & Communicatio
  • Introduction to Python- basics, advantages and limitations
  • Tools: Python
Module 6Text Analytics
  • Introduction to Text Analytics & Natural
    Language Processing
  • Applications of NLP in Business
  • Interpretation of Text Analytics reports
Module 7Functional Application of Analytics
  • Financial Analytics
  • Digital Media Analytics
  • Customer Analytics
  • Operations & SCM Analytics
Module 8AI & ML
  • Introduction to AI & ML
  • Business Application of AI & ML
  • Introduction to Deep Learning
  • Business Application of Deep Learning
  • Course Wrap-up

Start your SPJIMR journey

Graduates/ Diploma Holders in any discipline with a minimum of 1-year of work experience.

  • Early to mid-level professionals interested in building a strong foundation in modern business practices using an 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 revitalise their business offerings by aligning customer insights toward enhancing their products and services
  • Build a strong foundation on how to make data-driven decisions and apply analytics in day-to-day business scenarios
  • Understand various analytical representations and apply the right ones to solve complex real-world business problems
  • Explore in-demand analytics tools and their applications across business functions to build and scale a successful analytics capability within your organisation.
  • Learn to interpret and communicate results of business analytics projects into practical courses of action to both technical and non-technical audiences
  • Develop an in-depth understanding of Artificial Intelligence, Machine Learning, and Deep Learning, while understanding their application to strengthen data-driven decision-making

SPJIMR alumni benefits

On successful completion of the programme, participants will be eligible for the prestigious SPJIMR Executive Alumni Status and a host of benefits, including:

  • Lifetime ‘Executive Alumni Status’ from SPJIMR
  • Access to the Institute’s executive alumni portal, social media groups, and campus updates
  • Invitation to SPJIMR webinars and business conclaves (T&C apply)
  • Access to the SPJIMR library on-campus (browsing only)
  • Alumni discounts on MDP Programmes

* The Executive Alumni benefits are subject to the discretion of SPJIMR.

Frequently asked questions

  • What are the eligibility criteria for this Data Science for Business Decisions program?

    For admission to this Data Science for Business Decisions program, candidates should have:

    • A bachelor’s degree (any background)
    • An eagerness to apply course concepts to real business problems
    • Working professionals with 5+ years of work experience (preferably) who are aspiring to leverage Data Science to solve business challenges
  • What is the admission process for this Data Science for Business Decisions programme?

    The admission process for this Data Science for Business Decisions program consists of three simple steps:

    • All interested candidates are required to apply through the online application form
    • An admission panel will shortlist candidates based on their application
    • An offer of admission will be made to the selected candidates, which can then be accepted by the candidate by paying the program fee
  • Is there any financial support provided?

    To ensure money is not a limiting factor in learning, we offer various financing options to help make this program financially manageable. For more details, please refer to our “Admissions Fee and Financing” section

  • What should I expect from this Data Science for Business Decisions programme?

    As a part of this Data Science for Business Decisions program,  you will receive the following:

    • Program completion certificate from SPJIMR
    • Advanced Data Science curriculum curated by SPJIMR faculty
    • Live online masterclasses from SPJIMR  instructors
    • Real-world applications of Data Science across multiple domains
  • What certificate will I receive?

    Upon successful completion of this Data Science for Business Decisions program, you will be awarded a certificate of completion by SPJIMR.

  • How long does it take to complete this Data Science for Business Decisions programme

    The anticipated time to complete the program is 6 months.

  • What is Global Teaching Assistance?

    Our teaching assistants are a dedicated team of subject matter experts here to help you get certified in Data Science on your first attempt. They proactively engage with students to ensure adherence to the learning path—helping to enrich the learning experience from class onboarding to project mentoring to career assistance.

  • Who are the instructors in this Data Science for Business Decisions programme, and how are they selected?

    Our highly-qualified instructors are industry experts with years of relevant industry experience. Each of them undergoes a rigorous selection process, including profile screening, technical evaluation, and a training demo evaluation before getting certified to train for us. We ensure that only those trainers with a high alumni rating remain part of our faculty

  • If I want to cancel my enrollment in this Data Science for Business Development programme, can I get a refund?

    No refund will be applicable once you make the partial/full payment.

  • Is this Data Science for Business Decisions programme really 100% online? Or do I need to attend any classes in-person?

    This program is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings, and assignments anytime and anywhere via the web or your mobile device.

    * Disclaimer: This Data Science for Business Decisions program is offered on a non-credit basis and is not transferable to a degree.

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