• Learning Format Self-Paced Learning

Why Join this Program

SPJIMR Academic Excellence

Earn a program completion certificate from SPJIMR, a leading school of management in India.

Highly Interactive Learning

Master the concepts of Data Science through live sessions delivered by SPJIMR faculty.

SPJIMR Executive Alumni Status

An opportunity to avail SPJIMR Executive Alumni Network membership post program completion

Hands on Experience

Practical exposure through projects and a Capstone pertaining to various industry domains.

FOR ENTERPRISE

Looking to enroll your employees into this program ?

Data Science for Business Decisions Overview

Data Science for Business Decisions program enables you to master the concepts of Machine Learning, Statistics, Data Visualization, etc,and create a strategy to implement a Data Science project in your organization. This program will help you drive digital transformation in your organization by understanding data privacy, data architecture, and governance.

Data Science for Business Decisions Advantage

Be a leader in the field of Data Science by learning through this live-interactive program offered by SPJIMR and gain industry-oriented skills to grow your organization

  • Program Certificate

    Partnering with SPJIMR:

    • Receive a certificate of completion from SPJIMR
    • Attend live-interactive sessions led by distinguished SPJIMR professors
    • Learn to create a Data Science strategy for your organization

Data Science for Business Decisions Details

Data Science for Business Decisions program provides a holistic view of Data Science and its real-world applications in multiple industries. Starting with the basics of statistics, you will learn data wrangling techniques, machine learning concepts, and a framework to build a data science strategy.

Learning Path

  • 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.

  • 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

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

Electives:

Skills Covered

  • 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

Tools Covered

Rtableau

Program Advisors

  • Dr. Saswat Patra

    Dr. Saswat Patra

    Assistant Professor, Finance & Economics

    Dr Saswat Patra is a faculty member in the Finance area at SPJIMR. He has extended his research contributions to topics such as Financial Derivatives, Volatility Modelling, Risk Management, and Financial Time Series. He has completed FPM from the Indian Institute of Management, Bangalore

  • Dr. Aditi Divatia

    Dr. Aditi Divatia

    Associate Professor, Information Management & Analytics

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

  • Dr. Ashutosh Jha

    Dr. Ashutosh Jha

    Assistant Professor, Information Management & Analytics

    Dr. Ashutosh Jha holds a Ph.D. from the IIM, Calcutta, with a specialization in Management Information Systems. He has 11 years of industry experience with leading technology firms, prior to joining academics. He has a passionate research interest in Mobile Networking and Services.

  • Dr. Debmallya Chatterjee

    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. His research efforts are anchored in areas such as Multi-criteria Decision Making, Structural Modelling, Decision Science, and Fuzzy Cognitive Map Applications.

  • Prof. Milind Kamat

    Prof. Milind Kamat

    Associate Professor, Information Management & Analytics

    Prof Milind Kama is a faculty in Information Management and Analytics. His research efforts are centred on New Generation Digital Technologies/Services, their barriers and adoption, Social Media Marketing and Big Data Mining. He has been appointed as CEO Of Atos India and EVP of Atos group

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Join the Data Science industry

The global Data Science Platform Market size was valued USD 95.3 billion in 2021, The market for data science platform is estimated to reach 322.9 USD billion in 2026.

Job Icon28%

Annual Job Growth By 2026

Source: Market Research Rpt
Job Icon11.5 M

Expected New Jobs For Data Science By 2026

Source: US bureau of Labor
Job IconINR 11L

 Average Annual Salary in India

Source: Glassdoor

Batch Profile

This program caters to working professionals from a variety of industries and backgrounds; the diversity of our students adds richness to class discussions and interactions.

  • The class consists of learners from excellent organizations and diverse industries
    Industry
    Information Technology - 24%Manufacturing - 21%BFSI - 17%Consulting - 14%Others - 14%Pharma & Healthcare - 10%
    Companies
    BCG
    Deloitte
    Barclays
    JP Morgan Chase
    Mercedez
    Shell
    Oracle
    Microsoft
    LinkedIn
    Nasdaq
    Nestle

Admission Details

Application Process

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.

STEP 1

Submit Application

Tell us a bit about yourself and why you want to do this program

STEP 2

Application Review

An admission panel will shortlist candidates based on their application

STEP 3

Admission

Selected candidates can begin the program after the orientation session.

Eligibility Criteria

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

A bachelor's degree (any discipline)
No prior coding experience or technology knowledge required
Working professionals with 5+ years of work experience (preferably)

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Program Benefits

  • Program completion certificate from SPJIMR
  • Complete this Data Science program while you work
  • Curriculum designed and delivered by SPJIMR professors
  • Live-online masterclasses by SPJIMR professors
  • Practical exposure through hands-on projects and a Capstone
  • Disclaimer
  • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, and OPM3 are registered marks of the Project Management Institute, Inc.