• Learning Format Self-Paced Learning

World’s #1 Online Bootcamp

9/10 of our learners achieve their learning objectives after successful course completion*

Process Advisorsimage

Why Join this Program

IIT Roorkee Excellence

Earn a certificate from IIT Roorkee, ranked amongst the best technological institutions in India.

World-class Curriculum

Get access to a thoughtfully designed curriculum co-created by IIT Roorkee professors.

Learn from the Best

Attend live masterclasses delivered by IIT Roorkee faculty and industry experts from IBM.

No coding experience Needed

Program caters to working professionals from programming as well as non-programming backgrounds.


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Business Analytics Program Overview

Make data-driven decisions to enable business growth and stay ahead of the competition. Develop a data mindset and the analytical skills to interpret and communicate data to solve business problems. Leverage this Business Analytics program to demystify data analysis and equip yourself with the required skills for strategic decision-making.

Business Analytics Program Advantage

Stay ahead in the world of data through this Business Analytics online program from IIT Roorkee. With a curriculum co-created by IIT Roorkee professors, masterclasses from IIT Roorkee and IBM, gain the essential skills to excel in the digital age

  • Program Certificate

    Partnering with IIT Roorkee:

    • Receive a certificate of completion from CEC, IIT Roorkee
    • Attend masterclasses by distinguished IIT Roorkee professors
    • Learn business analytics and its applications
  • IBM Certificate

    Program In Collaboration With IBM

    • Industry-recognized IBM certificates for IBM Data Analytics programs
    • Industry masterclasses conducted by IBM

Business Analytics Program Details

Stay up to date with real-world business analytics applications. This Business Analytics program covers the in-demand concepts around business analytics such as statistical analysis, data visualization, predictive analytics, prescriptive analytics, machine learning, neural networks, and much more.

Learning Path

  • Get started with the Business Analytics program and explore everything about it. Kickstart your business analytics journey with this orientation session and get to know what this carefully curated program offers

  • Master the fundamentals of Business Analytics and Data Science through real-world examples. You will learn the fundamentals of R programming, an essential part of data analytics. Understanding the different types of Data Science projects and the project lifecycle will give you a competitive edge in any organization

  • Understand statistics, the science of assigning a probability through the collection, classification, and analysis of data. This Business Analytics program will enable you to define statistics, a foundational part of data science, and the essential terms and concepts related to it. This program will help you to make data-driven decisions by applying various statistical techniques to multiple business scenarios.

  • Exploratory Data Analysis is the process of finding common patterns and characteristics from the given data using analysis and visualization methods. This plays an integral part in making business decisions in a data-driven organization. This Business Analytics program will guide you through the fundamentals of various data analysis techniques, help generate insights, and employ data visualization for informed decision making.

  • Predictive analytics is used to find patterns in data that helps organizations identify potential business opportunities and risks. Leverage this course to predict various business outcomes by analyzing past data. Various regression models and time series analysis taught in this Business Analytics program, supplemented with project-based learning, will help you to gain an edge over the applications of predictive analytics.

  • Prescriptive analytics empower us to go ahead with the business decisions by answering the question - “What should be done?” In this Business Analytics program, learn to define a goal for your business and how you can optimize solutions to achieve the goal. Through this program, you will be able to compare real-time and predicted data and make the best tactical business decisions for your organization.

  • This program on Data Science and Machine Learning will help you become an expert in making strategic decisions using Machine Learning, a form of Artificial Intelligence that automates data analysis to enable computers to learn and adapt through experience and perform specific tasks without explicit programming. You will master Machine Learning concepts and techniques, including supervised and unsupervised learning, classification and clustering techniques to speed up the decision-making process.

  • Apply the business analytics knowledge you have obtained through a hands-on, industry-relevant capstone project that compiles all the skills into one portfolio-worthy capstone.


Skills Covered

  • R Programming
  • Descriptive Analytics
  • Predictive Analytics
  • Prescriptive Analytics
  • Linear and Logistics Regression
  • Supervised Learning
  • Unsupervised Learning
  • Classification and Clustering
  • Decision Trees
  • Random Forests
  • Data Visualization

Industry Projects

  • Project 1

    Customer Segmentation to understand customer personality

    Perform Customer segmentation based on demographics and customer preferences and understand customer personality to take better business decisions.

  • Project 2

    Product Mix Optimization

    Utilize linear programming to observe key metrics of suppliers for supply chain optimization to choose the right mix of products from the right suppliers.

  • Project 3

    Understanding R for Business Analytics

    As a data analyst, you should explore the various data types, data structures, operators, and functions in R to better understand why R is a preferred tool for business analytics

  • Project 4

    Smart consumption for Energy Domain

    Creating a smart consumption plan for the consumers, it is required to explore the data and understanding patterns to look at the frequency distribution and trends

  • Project 5

    Client Portfolio Classification

    Build a machine learning model to predict and classify applicants

  • Project 6

    Growth Strategy for restaurant chain

    Help a restaurant chain to take better business decision to increase profitability

  • Project 7

    Credit Score Segmentation

    Build a machine learning model to predict the credit score brackets as good standard and poor for each customer.

Disclaimer - The projects have been built leveraging real publicly available data-sets of the mentioned organizations.


Program Advisors

  • Prof. Ramesh Anbanandam

    Prof. Ramesh Anbanandam

    Associate Professor, Department of Management Studies, IIT Roorkee

    Professor Ramesh Anbanandam is working as an Associate Professor in the Department of Management Studies, IIT Roorkee, India, and joint faculty of the Center of Transportation Systems, IIT Roorkee. He did Ph.D. from IIT Delhi and M.Tech from NIT Tiruchirappalli.

  • Prof. Tarun Sharma

    Prof. Tarun Sharma

    Assistant Professor (Operations),Department of Management Studies, IIT Roorkee

    Dr. Tarun Sharma received his B.Tech. in Mechanical Engineering from NIT, Hamirpur, and masters and Ph.D. degree from Indian Institute of Science, Bangalore. He is a recipient of the Impact Postdoctoral Fellowship from The Chinese University of Hong Kong.

  • Prof. Amit Upadhyay

    Prof. Amit Upadhyay

    Assistant Professor, Department of Management Studies, IIT Roorkee

    Dr. Amit Upadhyay is an Assistant Professor in DoMS IIT Roorkee, working in the areas of operations research, supply chain, and transportation. Earlier, he has worked as an assistant professor in VGSOM, IIT Kharagpur, and visiting faculty at IIM Calcutta.


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
    Information Technology - 24%Manufacturing - 21%BFSI - 17%Consulting - 14%Others - 14%Pharma & Healthcare - 10%
    JP Morgan Chase

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.


Submit Application

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


Application Review

An admission panel will shortlist candidates based on their application



Selected candidates can begin the program after the orientation session.

Eligibility Criteria

For admission into this Business Analytics program, the following are the expectations:

No prior coding experience or technology know-how required
An eagerness to apply course concepts to real business problems
Preferably 6+ years of work experience

Apply Now

Program Benefits

  • Program completion certificate from IIT Roorkee
  • Industry recognized IBM certificates for IBM courses
  • Curriculum designed and delivered by IIT Roorkee professors
  • Online masterclasses by IIT Roorkee faculty and IBM experts
  • 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.
  • *According to Simplilearn survey conducted and subject to terms & conditions with Ernst & Young LLP (EY) as Process Advisors