Institute of Product Leadership
ipl school of data science

Become a Data Driven Leader

Move from Data to Decisions

Post Graduate Program in Data Science and Business Analytics

(No prior coding experience is required)

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    Experience the Demo Class





      Experience Demo Class

      7 Months | 7 Courses

      Assignments & Capstone
      Weekly Live Faculty Sessions

      Unlimited Labs

      Industry Projects
      1:1 Coaching & Mentoring

      Career Assistance

      Career Labs
      Hiring Talentathons

      September 04, 2022

      Next Cohort Starts

      Program Overview

      Industry recognised certification in Data Science and Business Analytics

      workshop

      Multiple Case Studies and Assignments | 7 Capstone Industry Projects

      Team Building

      Weekly Faculty Sessions - Live Online

      hands on learning

      Learning Library with Toolkits, Frameworks & Templates

      build your idea

      Focused New Age Curriculum

      Communication

      Unlimited 1:1 Mentorship with Mentors & Faculty

      PLACEMENT ASSISTANCE

      Career Assistance & Hiring Talentathons

      Practitioners

      Networking Opportunities on Campus and Off Campus

      Career Labs - Career Coaching & Mentoring, Portfolio Building, Interview Preparation

      Industry wants to hire professionals who not only understand the depth of data science but can leverage that to business outcomes.
      atul batra
      Atul Batra
      CTO, Manthan Systems
      workshop

      Multiple Case Studies and Assignments | 7 Capstone Industry Projects

      Communication

      Unlimited 1:1 Mentorship with Mentors & Faculty

      hands on learning

      Learning Library with Toolkits, Frameworks & Templates

      build your idea

      Focused New Age Curriculum

      Team Building

      Weekly Faculty Sessions (Live)

      PLACEMENT ASSISTANCE

      Exclusive Career Management Cell with Hiring Talentathons

      Practitioners

      Networking Opportunities on Campus and Off Campus

      Career Labs - Career Coaching & Mentoring, Portfolio Building, Interview Preparation

      "Leadership starts and ends with the team. This has been my learning as a Leader. Leaders have to go from Managing people to Influencing people, from Managing tasks to Managing Business outcomes."
      Saran Chatterjee
      Saran ChatterjeeCEO, HouseJoy
      "Business models are changing and a lot of startups are disrupting incumbents. Not just Product Managers but Engineering Leaders, Design Leaders and Business Leaders require Strategic Leadership skills to move up in their careers. I'm thrilled to see IPL building such great programs to help bridge the gap for tomorrow's leaders."
      Sarv Saravanan
      Sarv SaravananVP, Microsoft Services
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      Program Designed for

      Career Acceleration

      Unlimited Career Support

      Access to multiple
      job openings

      Portfolio
      Building

      Personalized Resume & LinkedIn review

      Career Coaching & Mentoring

      Guidance from Industry Practitioners

      Interview
      Preparation

      Career Planning & Mock Interviews

      Top Skills You Will Learn
      Business Problem Framing, Insight mining, Business Inferencing using statistical techniques, Exploratory Data Analytics and Feature Engineering, Prescriptive & Predictive Analytics, Data Analytics with Python, Data Visualization and Storytelling.
      Who Is This Program for?
      Domain Experts, Engineers, Marketing and Sales Professionals, Software and IT Professionals, Project Managers, Product Managers, Business Analysts, Consultants, Entrepreneurs.
      Job Opportunities
      Data Analyst, Data Science Manager, Entry-level Data Scientist, Business Analyst, Technical Product Manager, Marketing Analyst, Quality Analyst
      Minimum Eligibility
      1. The applicant should have at least 1 year of work experience in a technical or business-related space and an undergraduate degree.
      3. Prior knowledge of programming is not mandatory but preferred.

      Top Skills You Will Learn

      Business Problem Framing, Insight mining, Business Inferencing using statistical techniques, Business Analytics, Exploratory Data Analytics and Feature Engineering, Prescriptive & Predictive Analytics, Data Analytics with Python, Data Visualization and Storytelling.

      Who Is This Program for?

      Domain Experts, Engineers, Marketing and Sales Professionals, Software and IT Professionals, Project Managers, Product Managers, Business Analysts, Consultants, Entrepreneurs.

      Minimum Eligibility

      ■ The applicant should have at least 1 year of work experience in a technical or business-related space and an undergraduate degree.
      ■ Prior knowledge of programming is not mandatory but preferred.

      Job Opportunities

      Data Analyst, Data Science Manager, Entry-level Data Scientist, Business Analyst, Technical Product Manager, Marketing Analyst, Quality Analyst.

      Do you have the skills to crack a Data Science Interview?

      Take A Free Quiz

      Tools Covered

      Python
      tableau
      microsoft-sql-server
      Jupyter
      excel

      Data Analytics Certification Program

      Get a certificate issued by the C. T. Bauer College of Business at the University of Houston and Institute of Product Leadership.

      Bauer College’s Cyvia and Melvyn Wolff Center for Entrepreneurship ranked No. 2 in U.S. on the Top 25 Best Undergrad Programs for Entrepreneurs in 2019. (Top 10 since 2007; No. 1 in 2008, 2010 and 2011)

      Course audited and approved by the Bauer College.

      Preparing you for Global Certification

      cda
      ICDA-Flex Sample Certificate

      Data Science and Business Analytics Certification Program

      Get a certificate issued by the C. T. Bauer College of Business at the University of Houston and Institute of Product Leadership.

      Bauer College’s Cyvia and Melvyn Wolff Center for Entrepreneurship ranked No. 2 in U.S. on the Top 25 Best Undergrad Courses for Entrepreneurs in 2019. (Top 10 since 2007; No. 1 in 2008, 2010 and 2011)

      Course audited and approved by the Bauer College.

      One Program, Ten Outcomes

      #1Data-led decisions
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      Provide a data-driven viewpoint on strategic decisions by applying business analytics & data analytics to real-world situations
      #2Data Vizualization & Storytelling
      Read More
      Influence others with storytelling using data and insights
      #3Business Problem Framing
      Read More
      Identify, define and formulate hypotheses for key business questions that require analytics, data science to solve
      #4Discover Opportunities
      Read More
      Use data exploration techniques to discover new questions or opportunities within your problem area
      #5Actionable Insights
      Read More
      Find and analyze the patterns in business data to infer insights that influence product and service improvements
      #6Models Evaluation
      Read More
      Evaluate, and tune machine learning models
      #7Forecast Outcomes
      Read More
      Apply statistical analysis and technologies to identify trends and forecast business outcomes
      #8Cost/Benefit Tradeoffs
      Read More
      Make cost-effective decisions with cost-benefit analysis through business analytics
      #9Persuasive Business Case
      Read More
      Use data & metrics to create an irresistible quality approval case for your projects, initiatives
      #10Accelerate Career
      Read More
      Move faster and higher to decision making roles by differentiating yourself with data & business analytics skills
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      Its very simple - those with actionable skills will get promoted faster. End to End Understanding of the business context, customer context and innovation context is key for decision making senior roles.
      Amit-S-Phadnis
      Amit Phadnis
      Chief Digital Officer, GE Healthcare

      Syllabus

      Close Button

      Download the program brochure for in-depth information





        Download Brochure

        Data Science and Business Analytics Courses created and curated by industry CXOs with case studies, simulations, real-life projects, assignments and personalized coaching.

        Core Courses

        Course 1: DSC401F - Data Analytics Foundations

        ■ Descriptive Statistics & Probability
        ■ Inferential Statistics & Hypothesis Formulation using methods like T-test, ANOVA, Chi-Square
        ■ Sampling distributions, estimation
        ■ Simple, Multivariate regression & Time Series
        ■ A/B Testing
        ■ Goodness of Fit

        ■ Introduction to DBMS
        ■ ER diagram
        ■ Schema design
        ■ Key constraints & basics of normalization
        ■ Joins
        ■ Subqueries involving joins & aggregations
        ■ Sorting
        ■ Independent subqueries
        ■ Correlated subqueries
        ■ Analytic functions
        ■ Set operations
        ■ Grouping and filtering
        ■ SQL Aggregate & Rank Functions
        ■ SQL Analytics Functions

        Course 2: BAN403F - Business Problem Framing

        ■ Understanding, Framing the Problem, and Formulating a Hypotheses
        ■ Asking the Right Question
        ■ Framework for Problem Formulation
        ■ Transformative Problem Formulation

        ■ Business Problem Solving with Data Science
        ■ Scoping your Solution
        ■ Planning the Analysis

        ■ What is Data Collection?
        ■ Sources of Data
        ■ Methods of Data Collection
        ■ Process of acquiring, collecting, extracting, and storing

        Course 3: DSC402F - Data Science Techniques

        ■ Overview
        ■ What is EDA?
        ■ The EDA Workflow
        ■ Characterizing Data
        ■ Univariate and Multivariate Distribution Plots
        ■ Univariate and Multivariate Comparison Plots
        ■ Univariate and Multivariate Composition Plots
        ■ Structuring your Report
        ■ Extracting Features
        ■ Demo Principal Component Analysis
        ■ Factor Analysis
        ■ Clustering
        ■ Selecting Features
        ■ Engineering Features

        ■ Importing Datasets
        ■ Cleaning the Data (Data Wrangling)
        ■ Data frame manipulation. (Exploratory Data Analysis)
        ■ Summarizing the Data
        ■ Model Development & Evaluation (optional)

        Course 4: DSC403F - Predictive and Prescriptive Analytics for Business Decision Making

        Introduction to Time Series
        ■ Correlation
        ■ Forecasting
        ■ Autoregressive Moving
        Average (ARMA) models
        ■ Autoregressive Integrated
        Moving Average(ARIMA) models

        ■ Simple Linear Regression and Multiple Linear Regression
        ■ Regression Fundamentals
        ■ The linear regression equation
        ■ Linear Regression explained
        ■ Linear Regression with independent variable
        ■ Interpreting R -Squared
        ■ Evaluating Model Performance
        ■ Key assumptions of Linear Regression
        ■ Residual Analysis
        ■ Statistical tests to validate assumptions
        ■ Correlation and Causation
        ■ Heat map and Scatter plots
        ■ Multiple Linear Regression use case
        ■ Interpreting regression outputs
        ■ Regression use cases

        Course 5: BAN401F - Visualization and Storytelling

        Introduction to Data Visualization
        ■ Visualization in Business Analytics
        ■ Introduction to Tableau
        ■ Basic charts and dashboard
        ■ Descriptive Statistics, Dimensions and Measures
        ■ Visual analytics
        ■ Dashboard design & principles
        ■ Advanced design components/ principles: Enhancing the power of dashboards
        ■ Special chart types

        ■ The Art of Storytelling in Business Analytics & Data Science
        ■ Effective Data Storytelling for Business Impact
        ■ Storytelling and the Human Brain
        ■ Brining Data to Life: Emotions and Data Storytelling
        ■ Emotion Modulators: Color, Language and Other Design Elements
        ■ Story Considerations
        ■ Preparation of the story points
        ■ Setting up the story
        ■ Create a data story in a static presentation

        Introduction to Data Visualization
        ■ Visualization in Business Analytics
        ■ Introduction to Tableau
        ■ Basic charts and dashboard
        ■ Descriptive Statistics, Dimensions and Measures
        ■ Visual analytics
        ■ Dashboard design & principles
        ■ Advanced design components/ principles: Enhancing the power of dashboards
        ■ Special chart types

        ■ The Art of Storytelling in Business Analytics & Data Science
        ■ Effective Data Storytelling for Business Impact
        ■ Storytelling and the Human Brain
        ■ Brining Data to Life: Emotions and Data Storytelling
        ■ Emotion Modulators: Color, Language and Other Design Elements
        ■ Story Considerations
        ■ Preparation of the story points
        ■ Setting up the story
        ■ Create a data story in a static presentation

        Product Analytics and Metrics

        ■ Product analytics definition
        ■ Differences between product and “classic” web analytics
        ■ Common questions and mistakes

        ■ Where, when, and how to collect data correctly
        ■ Data formatting and standards
        ■ Implications of incorrect data

        ■ Overview of the tools available
        ■ Gathering requirements and defining use cases
        ■ Evaluating tools for your use cases

        ■ Customer Acquisition Cost, Customer Lifetime Value, Churn Rate
        ■ Leading vs. lagging metrics
        ■ Benefits and drawbacks of core metrics
        ■ SaaS Metrics

        ■ How to understand users
        ■ Cohort creation and analysis
        ■ Sample user-based metrics used in product analytics

        ■ A selection of metrics for product analytics
        ■ Setting up reporting and fundamental data visualization principles
        ■ Setting up monitoring

        Product Analytics and Metrics

        ■ Product analytics definition
        ■ Differences between product and “classic” web analytics
        ■ Common questions and mistakes

        ■ Where, when, and how to collect data correctly
        ■ Data formatting and standards
        ■ Implications of incorrect data

        ■ Overview of the tools available
        ■ Gathering requirements and defining use cases
        ■ Evaluating tools for your use cases

        ■ Customer Acquisition Cost, Customer Lifetime Value, Churn Rate
        ■ Leading vs. lagging metrics
        ■ Benefits and drawbacks of core metrics
        ■ SaaS Metrics

        ■ How to understand users
        ■ Cohort creation and analysis
        ■ Sample user-based metrics used in product analytics

        ■ A selection of metrics for product analytics
        ■ Setting up reporting and fundamental data visualization principles
        ■ Setting up monitoring

        Electives are recommended add-on courses for those who want to have a broader coverage

        Typical Learning Path for each course

        Social and Web Analytics

        ■ Which metrics can be monitored
        ■ Which metrics matter and how they’re related
        ■ How marketing strategy or editorial decisions are effected by web data
        ■ Why SEO is relevant

        ■ Introducing: Social Media Measurement
        ■ Social Media Analytics: Subscribers, Engagement, Reach, Velocity and Sentiment
        ■ Measuring Likes and Followers and Subscribers on Facebook, Twitter, Instagram
        ■ What is Engagement and How to Measure Engagement on Facebook & Twitter
        ■ Reach – Can Actual Exposure and Reach be Measured on Facebook and Twitter?

        ■ Post success – impressions, reach, engagement and the difference between them.
        ■ Understanding Engagement – engagement metrics and how they relate to strategy.
        ■ Tracking and understanding audiences – who are your followers and why, what is their reach and how it affects strategy.
        ■ Downloading reports – how to track and measure analytics month-on-month.

        ■ Tweet impressions v engagement and how to track success.
        ■ Follower data and how to apply that to strategy.

        ■ Velocity in Social Media – Facebook Virality and Twitter Trends
        ■ Marketing Intel and Social Media Measurement: Analytics and Psychographics
        ■ Measuring ROI (Return on Investment) and the Ecosystem of Apps, widgets, mashups

        • Statistical Data Analysis in Excel
        • Data Analysis using SQL
        • Working with Numbers and Dates
        • Tables for Automating Data Manipulation
        • Logical and Lookup Functions
        • Problem Formulation
        • Business Problem as a Data Science Problem
        • Sourcing and Collecting Data
        • Tables and Queries
        • Data Wrangling
        • Data Analytics
        • Why Python for Data Science and Python Basics
        • Python – Non Sequential, Functions & Classes
        • Introduction to Data Science
        • Landscape of Data Science & Analytics
        • Introduction to Machine Learning
        • Decision Trees
        • Linear Regression
        • Unsupervised Learning
        • Data Visualization
        • Storytelling with Data

        Typical Learning Path for each course

        Weekly Live Online Sessions
        Plus Curated Video Lessons
        Assignments
        Self & Group Submissions
        Capstone Project
        Live Presentations with Jury
        Certificate
        Course Certificate
        0

        Average Days to complete each course


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        Syllabus

        Data Science and Business Analytics Courses created and curated by industry CXOs with case studies, simulations, real-life projects, assignments and personalized coaching.

        Courses
        • Linear Algebra Applications
        • Statistical Foundations
        • Data Analysis in Excel
        • Problem Formulation
        • Business Problem as a Data Science Problem
        • Sourcing and Collecting Data
        • Tables and Queries
        • Data Wrangling
        • Data Analytics
        • Why Python for Data Science and Python Basics
        • Python – Functions, Classes, Nonsequential & Libraries
        • Introduction to Data Science
        • Exploratory Data Analytics and Feature Engineering
        • Introduction to Machine Learning
        • Decision Trees
        • Simple and Multiple Linear Regression
        • Unsupervised Learning
        • Data Visualization
        • Storytelling with Data

        Typical Learning Path for each course

        Weekly Live Online Sessions
        Plus Curated Video Lessons
        Assignments
        Self & Group Submissions
        Capstone Project
        Live Presentations with Jury
        Certificate
        Course Certificate
        Close Button

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          Download Brochure

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          Instructors & Mentors

          Learn from India’s leading Product Practitioners.

          Faculty-Chandrashekar
          Chandrashekar
          Chief Executive Officer
          Native AI
          Manohar-Rao
          Manohar Rao
          ex. Director,
          RainMan Consulting
          Amit-Sharma
          Amit Sharma
          Director - Global AI Accelerator,
          Ericsson
          Yogesh-K-Potdar
          Yogesh K. Potdar
          Executive Leader,
          GE Global Research
          Manjunath Subramanian
          Manjunath Subramanian
          Senior Principal Product Manager,
          Oracle India

          Industry Projects and Assignments

          Learn through real-life projects and assignments across industries

          • Industry mentors and teaching support to clear your doubts.
          • Final evaluation of projects done by external industry jury.
          • Focus on Business Analytics, Data Science, Data Analytics, Data Visualization & Storytelling
          Price Match Guarantee
          Read More
          In this competition, you’ll apply your machine learning skills to build a model that predicts which items are the same products. Your contributions to product matching could support more accurate product categorization and uncover marketplace spam. Customers will benefit from more accurate listings of the same or similar products as they shop. Perhaps most importantly, this will aid you and your fellow shoppers in your hunt for the very best deals.
          Song Popularity Challenge
          Read More
          In this challenge you will use a song’s attributes to predict a track’s ‘popularity’? The better the App can quantify music, the better they can tune their systems and algorithms to generate more revenue for themselves and their stakeholders.The goal is to see whether hit songs shared similar features, and if so, whether those features could be used to predict which songs would be hits in the future.
          Cab Aggregator - Supply Demand Gap
          Read More
          We may have some experience of travelling to and from the airport. We have used different cab services for this travel? Did you at any time face the problem of cancellation by the driver or non-availability of cars? The aim of analysis is to identify the root cause of the problem (i.e. cancellation and non-availability of cars) and recommend ways to improve the situation. As a result of your analysis, you should be able to present to the client the root cause(s) and possible hypotheses of the problem(s) and recommend ways to improve them.
          Predicting Used Car Prices
          Read More
          Deciding whether a used car is worth the posted price when you see listings online can be difficult. Several factors, including mileage, make, model, year, etc. can influence the actual worth of a car. From the perspective of a seller, it is also a dilemma to price a used car appropriately. Determine whether the listed price of a used car is a challenging task, due to the many factors that drive a used vehicle’s price on the market. The focus of this project is developing machine learning models that can accurately predict the price of a used car based on its features, in order to make informed purchases.
          Cab Traffic Data Visualization
          Read More
          Managing traffic problems in the metro cities. Modern cities are changing. The rise of vehicular traffic has been changing the design of our cities. It is very important to know how traffic moves in a city and how it changes during different times in a week. Hence it is very important to analyse and gain insights from traffic data. The challenge is to analyse the traffic data from Bengaluru. The data gives us some information about how traffic moves from source to destination under various circumstances.
          Taxi Cab Fare Prediction Machine Learning in Real Time
          Read More
          Do you remember the days before Uber, Lyft, or Gett? Standing in the street trying to hail a taxi waiting for the moment a free cab might drive by and spot you? These days that world seems so far away. And you might often wonder: how do these apps work? After all, that set price is not a random guess. Given data from past rides, you are required to design the best taxi fare prediction machine learning model.
          Stay Listing Price Prediction Challenge
          Read More
          Predict the price of the listing. Company is an online marketplace for arranging or offering lodging, primarily homestays, or tourism experiences. Help the company’s data science team to predict prices of stay in the US based on attributes present in the dataset.
          Stay Listing New User Bookings
          Read More
          New users on this stay listing platform can book a place to stay in 34,000+ cities across 190+ countries. By accurately predicting where a new user will book their first travel experience, they can share more personalized content with their community, decrease the average time to first booking, and better forecast demand. In this challenge, you are given a list of users along with their demographics, web session records, and some summary statistics. You are asked to predict which country a new user's first booking destination will be. All the users in this dataset are from the USA.
          Email Sentiment Analysis
          Read More
          In this challenge you need to determine the emotional background for a given letter (or a set of letters?). Testing will be performed on prepared sample letters, which will be provided to the teams directly during the final presentation. The results will depend on: 1) quality of the sentiment predicted by the model for given emails (during the presentation); metric - MAE (1 - Very negative, …, 5 - Very positive) 2) idea behind the proposed method 3) quality of the presentation.
          Customer Segmentation and Churn Model for Telecom
          Read More
          Customer acquisition and retention is a key concern for many industries, especially acute in the strongly competitive and quick growth telecommunications industry. The primary goal of churn analysis is usually to create a list of contracts that are likely to be cancelled in the near future. The customers holding these contracts are then targeted with special incentives designed to deter cancellation.
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          Program Advantage

          Strong hand-holding with dedicated support to guide you in your journey in Data Science and Business Analytics.

          Assurance of Skills v/s Knowledge
          Assurance of Skills v/s Knowledge
          Read More
          Unlike eLearning and online leadership courses, our program has continuous faculty interactions with feedback on projects & 1:1 personalized coaching that will build real skills.
          Expensive doesnt mean Effective
          Expensive doesnt mean Effective
          Read More
          Unlike Ivy League branded programs which will give you bragging rights, this will actually generate ROI and build YOUR brand.
          Focussed on Career Transition
          Focussed on Career Transition
          Read More
          Unlike generic Executive MBA or MDP programs, focus is on building actionable skills for  senior roles in the digital economy
          Learning by Doing
          Learning by Doing
          Read More
          Work on real world industry challenges and projects to build skills and present to hiring managers at skillathons.
          Globally Recognized Certification Program

          Assurance of Skills v/s Knowledge

          Unlike eLearning and online leadership courses, our program has continuous faculty interactions with feedback on projects & 1:1 personalized coaching that will build real skills.
          Assurance of Skills v/s Knowledge

          Expensive doesnt mean Effective

          Unlike Ivy League branded programs which will give you bragging rights, this will actually generate ROI and build YOUR brand.
          Focussed on Career Transition

          Focussed on Career Transition

          More focus on industry-relevant case studies and examples rather than theoretical concepts and jargon to help you reach your dream career.
          Learning by Doing

          Learning by Doing

          Work on real world industry challenges and projects to build skills and present to hiring managers at skillathons.

          Career Impact

          Takes a very pragmatic approach to understanding Data Science around the Why, How, and What?
          Narendra BabuClass of 2020
          Highly recommend it to every business professional (especially non-technical folks!)
          Sudha MClass of 2020
          Helped me gain confidence and structure for things | was already doing intuitively and adhocly.
          Richa PClass of 2019
          Fastest Way to Understand the nuances of Applied Data Science, ML, and when and how to use it in real business scenarios.
          KavithaClass of 2018
          Fastest Way to Understand the nuances of Applied Data Science, ML, and when and how to use it in real business scenarios.
          Gunjan JClass of 2018
          This course taught me new ideas and techniques that | can apply to real-world scenarios
          Srini SClass of 2018
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          Apply Now
          salary hike

          55%

          Average Salary Hike

          Corporate Partners

          100+

          Corporate Partners

          CAREER TRANSITION

          50+

          Career Transitions

          HIGH SALARY

          65L

          Highest Salary

          Career Impact

          Takes a very pragmatic approach to understanding Data Science around the Why, How, and What?
          Narendra BabuClass of 2020
          Highly recommend it to every business professional (especially non-technical folks!)
          Sudha MClass of 2020
          Helped me gain confidence and structure for things | was already doing intuitively and adhocly.
          Richa PClass of 2019
          Fastest Way to Understand the nuances of Applied Data Science, ML, and when and how to use it in real business scenarios.
          KavithaClass of 2018
          Fastest Way to Understand the nuances of Applied Data Science, ML, and when and how to use it in real business scenarios.
          Gunjan JClass of 2018
          This course taught me new ideas and techniques that | can apply to real-world scenarios
          Srini SClass of 2018
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          Corporate Partners

          100+

          Corporate
          Partners

          HIGH SALARY

          65L

          Highest
          Salary

          salary hike

          55%

          Avg Salary
          Hike

          CAREER TRANSITION

          50+

          Career
          Transitions

          Our Students work at

          ADOBE
          AMAZON
          VISA
          Boston Consulting Group
          PAYPAL
          MICROSOFT
          PHILIPS
          VMWARE
          INTEL
          MAHINDRA
          MERCEDES
          HSBC
          SAMSUNG
          IBM
          NOKIA
          CISCO

          Program Fee covers

          • Weekly faculty sessions with Cohorts & Unlimited 1:1 Personalized sessions
          • All learning resources including case studies, simulations, faculty presentations, assignments & 1:1 feedback videos
          • Monthly Skill Hackathons & Live Presentations
          • Life long Career Assistance & Hiring Talentathons
          • Alumni Status and Access to Campus and Off-Campus Networking and Hiring Events
          • Includes 5 courses and Alumni discount towards future individual course electives

          Program
          Investment

          $ 1299
          (Includes $450 admissions fees)
          • Payment Plans Available
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          Upfront Payment

          ₹99000 ₹ 75000
          + GST (Includes ₹30,000 Admission Fee)
          • With a milestone based learning unlock the course today!

          0% EMI

          ₹ 30000
          + 8 Monthly Payments of ₹8000/mo
          • Start learning today! with a Pay as you go model


          Our Students work at

          MERCEDES
          VMWARE
          VISA
          SAMSUNG
          PHILIPS
          ADOBE
          PAYPAL
          NOKIA
          MICROSOFT
          MAHINDRA
          Boston Consulting Group
          BOSCH
          CISCO
          FLIPKART
          HSBC
          IBM
          INFOSYS
          INTEL
          AMAZON
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          Program Fee covers

          • Weekly faculty sessions with Cohorts & Unlimited 1:1 Personalized sessions
          • All learning resources including case studies, simulations, faculty presentations, assignments & 1:1 feedback videos
          • Monthly Skill Hackathons & Live Presentations
          • Access to Career Management Cell & Talentathons
          • Alumni Status and Access to Campus and Off-Campus Networking and Hiring Events
          • Includes 5 courses and Alumni discount towards future individual course electives

          Upfront Payment

          ₹99000 ₹ 75000
          + GST (Includes ₹30,000 Admission Fee)
          • Start Learning Today! Get maximum flexibility to learn at your own pace.

          EMI

          ₹ 30000
          8 Months (₹8000/mo) @ 0%
          • Start learning today! Switch to the monthly price afterwards if more time is needed.

          Program
          Investment

          $ 1299
          (Includes $450 admissions fees)
          • Payment Plans Available
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          Account activates
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          Top Questions

          1. How will the PGPDSBA program accelerate my career path?
          2. Is it true that I’ll get a 100% refund if I’m not delighted with the course?
          3. What certificate will I get at the end of the PGPDSBA Program?

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          If this is right for you

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