SPJIMR > Executive Education > Open Management Development Programmes > Data Science for Business Decisions

Programme overview

The Data Science industry is growing at a rapid pace and organizations across the globe are transforming themselves into data-driven ones. Along with this, cloud technology is expanding its reach to all major sectors and the demand for Data Science is going to increase multi-fold. This will increase the demand for Data Science professionals and managers who can understand business challenges and solve them using a Data Science project.

The Data Science for Business Decisions program offered by SPJIMR will help you master the essentials of Data Science and the associated business strategies. Starting with Introduction to Data Science, the course will cover multiple topics like data wrangling, data visualization, statistics essentials, and machine learning. Once you gain competitive knowledge in the Data Science field, we will take you through Data Science strategies and business use cases. This well-curated learning path, delivered through live interactive sessions, will help you to understand the essentials of Data Science and its practical use-cases of it in your business.

This program offers best-in-industry content created and delivered through live lectures by experienced professors from SPJIMR. The right mix of live-interactive sessions, knowledge checks, business scenarios, and hands-on projects — leveraging the expertise of the SPJIMR faculty — will help you understand the concept of data science, relate it to the business challenges you face, and formulate solutions. Join us to transform yourself as a next-generation, data-driven professional.

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Highlights

  • Program Completion Certificate from the prestigious SP Jain Institute of Management & Research
  • 50+ hours of live interactive classes delivered by faculty members from SPJIMR
  • Become eligible to avail SPJIMR Executive Alumni Network membership post-program completion
  • 2 day campus immersion at SPJIMR, Mumbai at an additional cost
  • Industry-relevant curriculum designed and delivered by SPJIMR faculty members
  • Real-world applications of Data Science across multiple industry domains
  • Practical exposure through hands-on projects and a Capstone pertaining to various industry verticals
  • Industry-relevant, case-based learning specially designed for mid-to senior-level managers and C-suite executives
  • Academic masterclasses from SPJIMR faculty
  • High-level peer interaction with like-minded professionals

Programme Directors

Prof. Milind Kamat

Associate Professor
Chairperson – Global Management Programme

Prof Milind Kamat is currently pursuing his Doctoral programme at the University of Bradford, UK, and is a faculty in Information Management and Analytics. Currently, he also serves as the Chairperson of the Global Management Programme at SPJIMR. Before joining academics in 2019, he conducted leadership roles in C-level capacities, steering IT companies of high repute.

As a senior industry executive with a career spanning 35 years, he has been appointed as CEO Of Atos India and Executive Vice President of Atos group, a leading French MNC offering IT services and consultancy. His research efforts are centered on New Generation Digital Technologies /Services, their Barriers and Adoption, Social media marketing, and Big data Mining.

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Dr. Debmallya Chatterjee

Professor and Chair, Operations Supply Chain Management & Quantitative Methods

Dr. Debmallya Chatterjee is a Professor and Chair of Operations Supply Chain Management and Quantitative Methods at SPJIMR. In his professional career spanning 19 years, he has taught at leading graduate management institutes across India.

He holds a Ph.D. from IIT ISM (Dhanbad) with his doctoral research centered on Multi-Criteria Decision Making and Advanced Certifications in Analytics from the University of Pennsylvania. He has completed Certification in Teaching Pedagogy from Harvard Business School.

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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.

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Dr. Aditi Divatia

Associate Professor, Information Management & Analytics

Deputy Programme Chairperson – Post Graduation Diploma in Management

Dr. Aditi Divatia holds a Ph.D. from the Birla Institute of Technology and Science (BITS Pilani), in the area of Business Analytics. She is a faculty in Information Management and holds a keen research interest in business intelligence and analytics.

Prior to joining academics in 2004, she was professionally engaged for over 10 years with prominent IT companies, wherein she offered project-based consulting services. She reflects her extended zeal for teaching by conducting management development programs for professionals and executives from eminent Indian organisations.

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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.

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Program curriculum & skills covered

Module 1Orientation Session for Data Science for Business Decisions

Get started with the Data Science for Business program and explore everything about it. Kickstart your Data Science journey with this orientation session and get to know what this carefully curated program offers.

Module 2Introduction to Data Science

Data Science leverages various tools and techniques to derive meaningful information from an available pool of data. This Data Science for Business program is designed to help you understand the fundamentals of Data Science and the importance of it in today’s business world. Get to know the features of data and its importance in business, and learn through real-world examples of Data Science applications

Module 3Data Wrangling

Data Wrangling is the process of creating an organized data pool from complex data sets. In this module, you will learn about various data wrangling concepts and the process of using data wrangling to generate a meaningful data set.

Module 4Data Visualization

Data Visualization is a key element in empowering decision makers to make more meaningful business decisions. Charts, graphs, and other visualization techniques help decision makers visualize data in an easily understandable form to make faster decisions. In this module, you will learn about various visualization tools, storytelling using these techniques, and crafting a business narrative using data visualization.

Module 5Foundations of Statistics

Statistics is an essential part of Data Science and it is critical to understand its foundations to interpret data in an effective manner. In this module, we will take you through fundamental statistical concepts like probability theory and hypothesis testing. This will act as a foundation for more advanced statistical methods and machine learning concepts.

Module 6Advanced Statistics

After completing the basics of statistics, you will learn advanced concepts in statistics which are an essential part of Data Science. Learn regression, which is the process of finding the relationship between two variables using statistical methods. In this module, you will learn about linear and logistic regression and also the difference between these two methods. This will help you pick the right regression model when you lead a Data Science project.

Module 7Machine Learning

Machine learning is the key driver of Artificial Intelligence projects, using algorithms and statistical methods to generate patterns from a given data set. Learn the important aspects of machine learning and understand how it can be used to increase the efficiency of an organization.

Module 8Data Science Strategy

In today’s business environment, it is crucial to understand the applications of Data Science and apply those to business challenges to create feasible solutions. In this module, you will learn the framework to create a data strategy and map it to data architecture and data privacy concerns. This module will help you make a business case for Data Science and create a strategic plan for your organization.

Module 9Data Science for Business Decisions Capstone

Apply the Data Science expertise you have obtained through a hands-on, industry-relevant capstone project that compiles all the skills into one portfolio-worthy capstone.

ElectivesData Science for Business Decisions Academic Masterclass

Attend live-online interactive masterclasses conducted by renowned instructors from SPJIMR. Understand how Data Science is changing the business world and helping organizations make data-oriented strategic decisions.

  • R Programming
  • Descriptive Statistics
  • Data Wrangling
  • Web Scraping
  • Data Dictionaries
  • Data Visualization
  • Tableau
  • Hypothesis Testing
  • Linear Regression
  • Logistic Regression
  • Classification
  • Clustering
  • Decision Trees
  • Data Architecture
  • Data Privacy

Start your SPJIMR journey

  • Admission to this Data Science for Business Decisions Programme requires candidates to have a bachelor’s degree in any discipline. No prior coding experience or technical knowledge is required to enrol for the programme, however, working professionals with 5+ years of work experience will be given preference.

The application process consists of three simple steps. An offer of admission will be made to the selected candidates and accepted by the candidates by paying the admission fee.

  • Submit Application: Tell us a bit about yourself and why you want to do this program
  • Application Review: An admission panel will shortlist candidates based on their application.
  • Admission: Selected candidates can begin the program after the orientation session.
  • Learn the fundamentals of Data Science and understand how to translate business problems into data hypotheses
  • Learn the science of analytically approaching a business challenge and come up with a data-driven solution
  • Understand the importance of data wrangling and learn the concepts of data pre-processing, outlier detection, and web scraping
  • Master the art of data visualization using various visualization methods to craft a strong business narrative
  • Learn the foundation of statistics which is an essential part of Data Science
  • Understand the concepts of linear and logistic regression
  • Get to know the use cases of supervised, unsupervised learning, decision trees, and model validation
  • Learn to create a Data Science Strategy framework for your organization
  • Understand the importance of data governance, data privacy, risks associated with data, and data architecture solutions
  • Learn to create a Data Science project strategy for your organization

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.

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