PGP in Product Management and Data Science - INSAID

PGP in
Product Management and Data Science

Master Product Management and Data Science

Duration: 12 months | Live Instructor led | Weekend Online Classes
Talk to our admissions team today & start your program
Speak to a Learning Advisor for:
  • Tuition details and scholarships
  • Financing options
  • Job assistance program
    • Note: You will receive a call between Mon-Fri from 10AM - 6PM IST.

      4000+

      Active learners

      12 Month Program

      Prep Time: 6-10 hrs/week

      70% Scholarship

      on Program Fee

      12 Jun 2022

      Start Date

      Demand for Product Management & Data Science Professionals across industries will continue to increase until 2025*

      *According to World Economic Forum Report

      Program Overview

      Join one program that checks all your requirements.

      Structured Learning

      Comprehensive curriculum covers live online classes including assignments, projects & specializations.

      Career Assistance

      PMDS career launchpad gives you access to resume & GitHub builder. Participate in Mock interviews & get ahead in career.

      Mentor Driven Program

      Personalized learning experience with Data Science Mentors who’ll help you master top skills.

      Professionals from hundreds of top companies trust INSAID’s programs to master the required skills. Here are a few of them


      Program Syllabus (PGPPMDS)

      Learn all the latest skills through one program.


      • Understanding Basics of Product Management
      • Who is a Product Manager?
      • Different Hats of a Product Manager
      • Importance of Research in Product Management
      • What is Product Planning Cycle?
      • Establising Product Vision & Mission
      • Formulating Product Strategy & Product Goals
      • What is Product Backlog & Roadmap
      • The Philosophy of Design Thinking

      • Decoding Creativity & Innovation

      • Design Thinking for PMs

      • Building MVP - Artefacts, Persona Mapping, & PRD's

      • Design Discovery requires one to apply design thinking concepts to create human-centred and action-oriented solutions. As a PM practitioner you will be competing with the best to solve a complex challenge.
      • User Experience 101
      • User Interface 101
      • Importance of UX/UI for PMs
      • Designing Mockups, Wireframes, & Prototypes
      • Intoduction to Engineering for Product Managers
      • Understanding Microservices & Cloud Services
      • Waterfall & Agile Methodology
      • Understanding Scrum & Kanban
      • Product Development & Planning User Tests )
      • Product Launch & A/B Testing
      • Understanding Product Marketing & Consumer Behaviour
      • Managing a Brand & Measuring Impact of Product Marketing
      • "Wittr is a major micro blogging app popular across the globe. The management team has reached out to INSAID PM consultants to help them over come a major hurdle related to declining app usage by its customers.The company has collected data and figured that customers have been moving onto a major competitor app because it provides them a micro vlog feature. The company need help from you to strategize, plan and design the new feature in their app as well.Go ahead and help the company succeed using the new feature."
      • Data Science Fundamentals
      • Python for Data Science
      • Statistics for Data Science
      • Data Operations with Numpy
      •  Data Manipulation with Pandas
      • Introduction to Data Visualization
      • Data Visualization using Matplotlib
      • Hands-on Pandas for Rapid Visualization
      • Seaborn for Data Visualization
      • Introduction to Exploratory Data Analysis
      • EDA Framework Deep Dive
      • Scientific Exploration of Industry Data - I & II
      • Student Presentations & Insight Delivery
      • "Caretel Telecom, one of the leading telecom players, understands that customizing offering is very important for its business to stay competitive. Currently, Caretel Telecom is seeking to leverage behavioral data from more than 60% of the 50 million mobile devices active daily in India to help its clients better understand and interact with their audiences.In this consulting assignment, Insaidians are expected to build a dashboard to understand user's demographic characteristics based on their mobile usage, geolocation, and mobile device properties. Doing so will help millions of developers and brand advertisers around the world pursue data-driven marketing efforts which are relevant to their users and cater to their preferences."
      • Introduction to Machine Learning (ML)
      • Linear Regression
      • Logistic Regression
      • Model Evaluation Techniques
      • Decision Trees
      • Random Forests
      • Dimensionality Reduction using PCA
      • Naïve Bayes Classifier
      • KNN (K- Nearest neighbors)
      • K-means Clustering
      • Ensemble Learning
      • Optimization
      • Introduction to Data Visualization with Tableau
      • Exploring Tableau Interface
      • Tableau Calculations
      • Tableau Dashboard
      • Mapping using Tableau
      • Tableau Analytics
      • In Class Project
      • Introduction to Programming in R
      • Data Manipulation with dplyr
      • Data Visualization using ggplot & esquisse
      • Exploratory Data Analysis - I
      • Exploratory Data Analysis - II
      • "The client for this project, Falcon HR Advisories, wants to come up with a new initiative that helps them to retain employees proactively. The current practice is that once an employee leaves, he or she is taken an “Exit Interview” and shares reasons for leaving. The HR Department then tries and learns insights from the interview and makes changes accordingly.This approach is that it's too haphazard. The quality of insight gained from an interview depends heavily on the skill of the interviewer. These insights can't be aggregated and interlaced across all employees who have left and it is too late by the time the proposed policy changes take effect.The HR department has approached INSAID data science consultants to help them in this regard. They want to supplement their exit interviews with a more proactive approach. You are given datasets of past employees and their status (still employed or already left). Your task is to build a classification model using the datasets. This model would proactively tell the customer which employees are likely to leave the organization anytime soon and the company can figure a way to curb this much before it actually happens."

      Tools covered



      Projects

      Work on as many as you’d want & build a great project portfolio


      Instructors

      Learn from the INDIA’s leading Data Science Professionals through live classes
      Most reviewed 5/5


      Placement Assistance

      One Dashboard for everything. Build a great profile through
      Data Science Career Launchpad

      Transformations

      Interview Guides

      Hiring Partners

      Career Sessions

      1:1 Interviews

      Job Analysis

      Network

      Resume & GitHub

      “I come from a statistics background with no exposure to coding. I was fortunate enough to come across INSAID which provided the right pace and right guidance.”
      Jigna Thacker

      Group Director Analytics, Kantar



      Program Certification

      Get globally certified in Data Science & AI. One certificate for Lifetime.
      • Internationally Accepted
      • Lifetime Validity
      • Program Completion Certificate
      • Certification of Merit


      INSAID Advantage

      Every program comes with Live Classes, Assignments & Projects to practice. Get your doubts clarified 24/7 with dedicated teaching assistants.

      Zero Prerequisites

      There are no prerequisites. Both Programmers & Non Programmers can enrol in the program.

      Hands-On Practice

      Thorough weekly assignments & projects, we ensure that you're well versed with topics as well as implementation.

      1:1
      Mentorship

      Take the absolute advantage by connecting with a network of Data Science Global Leaders through INSAID.



      Program Fee

      Total fee : ₹3.5L exclusive of GST. You can avail scholarship super affordable EMI options


      FAQ

      We’ve answered everything you need
      No, the program is experience agnostic, all the topics will be covered from scratch and every individual from any field of work is eligible for the program.
      Any latest processor (i3/i5/i7) with 2.0Ghz clock speed and 4GB RAM (Minimum), 8GB (Recommended).
      In the PGPPMDS program, you're expected to work on 6 Term Projects, 3 Capstone Projects mandatorily. Beyond these, we have a repository of 45+ projects from various domains on which you can work.
      Term Projects are individual projects specific to a particular term and will be shared post completion of every term. While Capstone Projects are closest to real world Data Science Project, where one has to apply different concepts learnt in the program.
      Download our latest program brochure & curriculum.
      Daily 30 mins of prep time is required. You can choose to practice, read or watch videos. And on weekends one must attend 2 hours of live classes on both Saturday & Sunday.
      Every term is for 4-5 weeks approximately. And the overall PGPPMDS program duration is 12 months.
      Yes, INSAID Vision Scholarships (being funded by INSAID Vision Fund®️) provide upto 70% tuition waiver to deserving professionals. Our goal through these scholarships is to enable anyone from any financial background to be able to become a Data leader of tomorrow.
      1. INSAID Vision Scholarship is available to anyone with a deep interest in next generation technologies like Data Science, AI, Big Data Analytics & IOT
      2. Wants to be a Data leader of tomorrow and has had a demonstrated professional success
      3. who will passionate serve INSAID's mission of putting India on the global AI map.
      4. To know more about this scholarship, talk to our Admissions today!

      Three things make this program world class 1. Progressive Learning Architecture: INSAID's proprietary Progressive Learning Architecture ensures that irrespective of the background you are from, you will attain mastery in a step-by-step way 2. Concept-to-Context®️ Learning Framework: INSAID's Concept-to-Context®️ framework ensures that you are learning every Data Science concept in context of real world industry problems 3. INSAID Career Center: INSAID's mission is to groom Data leaders of tomorrow. INSAID Career Center helps you launch a Data Science career with 100% confidence.
      INSAID offers career assistance through Data Science Career Launchpad. The student gets hands-on experience as a Data Leader with rigorous resume and GitHub building sessions. You will also learn to create a strong LinkedIn presence and develop top notch interview skills.
      Go through our Student Policy link.

      PGP In Product Management and Data Science

      Master Product Management and Data Science

      Duration: 12 months | Live Instructor led | Weekend Online Classes

      Talk to our admissions team today & start your program

      4000+

      Active learners

      12 Month Program

      Prep Time: 6-10 hrs/week

      70% Scholarship

      on Program Fee

      12 Jun 2022

      Start Date

      Demand for Product Management and Data Science Professionals across industries will continue to increase until 2025*

      *According to World Economic Forum Report

      Program Overview

      Join one program that checks all your requirements.

      Structured Learning

      Comprehensive curriculum covers live online classes including assignments, projects & specializations.

      Career Assistance

      Data science career launchpad gives you access to resume & GitHub builder. Participate in Mock interviews & get ahead in career.

      Mentor Driven Program

      Personalized learning experience with Data Science Mentors who’ll help you master top skills.

      Professionals from hundreds of top companies trust INSAID’s programs to master the required skills. Here are a few of them


      Program Syllabus (PGPPMDS)

      Learn all the latest skills through one program.



      • Understanding Basics of Product Management
      • Who is a Product Manager?
      • Different Hats of a Product Manager
      • Importance of Research in Product Management
      • What is Product Planning Cycle?
      • Establising Product Vision & Mission
      • Formulating Product Strategy & Product Goals
      • What is Product Backlog & Roadmap
      • Introduction to Exploratory Data Analysis
      • EDA Framework Deep Dive
      • Scientific Exploration of Industry Data (Case Study)
      • Student Presentations & Insight Delivery
      • Design Discovery requires one to apply design thinking concepts to create human-centred and action-oriented solutions. As a PM practitioner you will be competing with the best to solve a complex challenge.
      • User Experience 101
      • User Interface 101
      • Importance of UX/UI for PMs
      • Designing Mockups, Wireframes, & Prototypes
      • Intoduction to Engineering for Product Managers
      • Understanding Microservices & Cloud Services
      • Waterfall & Agile Methodology
      • Understanding Scrum & Kanban
      • Product Development & Planning User Tests )
      • Product Launch & A/B Testing
      • Understanding Product Marketing & Consumer Behaviour
      • Managing a Brand & Measuring Impact of Product Marketing
      • "Wittr is a major micro blogging app popular across the globe. The management team has reached out to INSAID PM consultants to help them over come a major hurdle related to declining app usage by its customers.The company has collected data and figured that customers have been moving onto a major competitor app because it provides them a micro vlog feature. The company need help from you to strategize, plan and design the new feature in their app as well.Go ahead and help the company succeed using the new feature."
      • Data Science Fundamentals
      • Python for Data Science
      • Statistics for Data Science
      • Data Operations with Numpy
      •  Data Manipulation with Pandas
      • Introduction to Data Visualization
      • Data Visualization using Matplotlib
      • Hands-on Pandas for Rapid Visualization
      • Seaborn for Data Visualization
      • Introduction to Exploratory Data Analysis
      • EDA Framework Deep Dive
      • Scientific Exploration of Industry Data - I & II
      • Student Presentations & Insight Delivery
      • "Caretel Telecom, one of the leading telecom players, understands that customizing offering is very important for its business to stay competitive. Currently, Caretel Telecom is seeking to leverage behavioral data from more than 60% of the 50 million mobile devices active daily in India to help its clients better understand and interact with their audiences.In this consulting assignment, Insaidians are expected to build a dashboard to understand user's demographic characteristics based on their mobile usage, geolocation, and mobile device properties. Doing so will help millions of developers and brand advertisers around the world pursue data-driven marketing efforts which are relevant to their users and cater to their preferences."
      • Introduction to Machine Learning (ML)
      • Linear Regression
      • Logistic Regression
      • Model Evaluation Techniques
      • Decision Trees
      • Random Forests
      • Dimensionality Reduction using PCA
      • Naïve Bayes Classifier
      • KNN (K- Nearest neighbors)
      • K-means Clustering
      • Ensemble Learning
      • Optimization
      • Introduction to Data Visualization with Tableau
      • Exploring Tableau Interface
      • Tableau Calculations
      • Tableau Dashboard
      • Mapping using Tableau
      • Tableau Analytics
      • In Class Project
      • Introduction to Programming in R
      • Data Manipulation with dplyr
      • Data Visualization using ggplot & esquisse
      • Exploratory Data Analysis - I
      • Exploratory Data Analysis - II
      • "The client for this project, Falcon HR Advisories, wants to come up with a new initiative that helps them to retain employees proactively. The current practice is that once an employee leaves, he or she is taken an “Exit Interview” and shares reasons for leaving. The HR Department then tries and learns insights from the interview and makes changes accordingly.This approach is that it's too haphazard. The quality of insight gained from an interview depends heavily on the skill of the interviewer. These insights can't be aggregated and interlaced across all employees who have left and it is too late by the time the proposed policy changes take effect.The HR department has approached INSAID data science consultants to help them in this regard. They want to supplement their exit interviews with a more proactive approach. You are given datasets of past employees and their status (still employed or already left). Your task is to build a classification model using the datasets. This model would proactively tell the customer which employees are likely to leave the organization anytime soon and the company can figure a way to curb this much before it actually happens."

      Tools covered


      Projects

      Work on as many as you’d want & build a great project portfolio


      Instructors

      Learn from the INDIA’s leading Data Science Professionals through live classes
      Most reviewed 5/5


      Placement Assistance

      One Dashboard for everything. Build a great profile through
      Data Science Career Launchpad

      Transformations

      Interview Guides

      Hiring Partners

      Career Sessions

      1:1 Interviews

      Job Analysis

      Network

      Resume & GitHub

      “I come from a statistics background with no exposure to coding. I was fortunate enough to come across INSAID which provided the right pace and right guidance.”
      Jigna Thacker

      Group Director Analytics, Kantar



      Program Certification

      Get globally certified in Data Science & AI. One certificate for Lifetime.
      • Internationally Accepted
      • Lifetime Validity
      • Program Completion Certificate
      • Certification of Merit


      INSAID Advantage

      Every program comes with Live Classes, Assignments & Projects to practice. Get your doubts clarified 24/7 with dedicated teaching assistants.

      Zero Prerequisites

      There are no prerequisites. Both Programmers & Non Programmers can enrol in the program.

      Hands-On Practice

      Thorough weekly assignments & projects, we ensure that you're well versed with topics as well as implementation.

      1:1
      Mentorship

      Take the absolute advantage by connecting with a network of Data Science Global Leaders through INSAID.



      Program Fee

      Total fee : ₹3.5L exclusive of GST. You can avail scholarship super affordable EMI options


      FAQ

      We’ve answered everything you need
      No, the program is experience agnostic, all the topics will be covered from scratch and every individual from any field of work is eligible for the program.
      Any latest processor (i3/i5/i7) with 2.0Ghz clock speed and 4GB RAM (Minimum), 8GB (Recommended).
      In the PGPPMDS program, you're expected to work on 6 Term Projects, 3 Capstone Projects mandatorily. Beyond these, we have a repository of 55+ projects from various domains on which you can work.
      Case studies are targeted towards concept validation and limited to only a single concept. However, projects are targeted to overall learning and are more of a combination of multiple topics.
      A. Download our latest program brochure .
      Daily 30 mins of prep time is required. You can choose to practice, read, or watch videos, and on weekends one must attend 1 hour 30 mins of live classes on both Saturday & Sunday.
      The duration of the program is 10 months, every term is approximately 4-5 weeks long.
      Three things that make this program world class
    • Progressive Learning Architecture: INSAID's proprietary Progressive Learning Architecture ensures that irrespective of the background you are from, you will attain mastery in a step-by-step way
    • Concept-to-Context®️ Learning Framework: INSAID's Concept-to-Context®️ framework ensures that you are learning every Product Management concept in context of real-world industry problems
    • INSAID Career Center: INSAID's mission is to groom Product leaders of tomorrow. INSAID Career Center helps you launch a Product Management career with 100% confidence.
    • INSAID offers career assistance through Product Management Career Launchpad. The student gets hands-on experience as a Product Leader with rigorous resume and Product portfolio building sessions. You will also learn to create a strong LinkedIn presence and develop top notch interview skills.
      Go through our Student Policy link
      Data Science vs Product Management: Which program is right for you? Talk to our Experts Today