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:
4000+
Active learners
12 Month Program
Prep Time: 6-10 hrs/week
70% Scholarship
on Program Fee
13 Feb 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
- 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
1000 movies
Analysis the IMDB 1000 most popular movies and come up with interesting insights.
Restaurant Across America Data
Analyse the availability and accessibility of food across America.
Analysis on Facebook Utilization
Analyze and identify the pattern of usage of facebook utilization by different people.
Customer Classification
Classify whether a customer belongs to a high net worth or low net worth group.
Predicting Beijing's Air Pollution
To predict the amount of particulate matter in the air.
Flight Passengers Satisfaction Prediction
Predicting the satisfaction level of flight passengers.
Avocado Price Prediction
Predicting the future price of avocadoes based on historical data.
Concrete Compressive Strength Prediction
Predicting the compressive strength of the concrete, based on the materials used.
Solar Radiation Prediction
Predicting the future solar radiations, based on the historical meteorological data.
Legendary Pokemon Prediction
Predicting the legendary pokemons and also identifying what makes a pokemon legendary.
Human Activity prediction
Predicting the human activity and draw other insights by analyzing the smartphone sensor data.
Seattle Weather Prediction
Predict whether it will rain on a specific day in Seattle or not.
Hubway data visualization challenge
Produce visualizations that reveal interesting user patterns about how people in Boston gets around on Hubway
Kickstarter funding patterns
Derive insights on successful and failed projects on Kickstarter platform.
How bad is the Air Quality in metropolitans?
Analyse worsening airquality in metropolitan cities.
Marketing strategies in Retail banking
Derive insights on how sucessful are the direct marketing campaigns of a Portuguese Bank.
What are the Characters in superhero comics
Identify the good, bad and the ugly nature of characters in Marvel comics.
What caused International crisis
Identify all factors which caused major international crisis events in the last 100 years.
DEFCON Level Classification
Classify the different DEFCON levels based on certain conditions.
Natural Scenes Prediction
Distinguish different natural scenes into their respective classes.
Presence of Ships in Satellite Imagery
Differentiate between images containing ships and those not containing ships.
Detection of Bird Species
Classify different species of bird using a collection of bird species images.
Product Classification based on Review
Predict the label of the product based on a review.
Nietzsche Texts Generator
Generate texts out a set of characters or words of Nietzsche texts using text generation model.
Instructors
Learn from the INDIA’s leading Data Science Professionals through live classes
Most reviewed 5/5
Manvender Singh
CEO, INSAID
Manvender Singh(Manav) is the CEO & senior faculty at INSAID. An MBA from Indian School of Business, Manav is among the most well known faces in professional education in India and has been a pioneer of Data Revolution in India.
Suchit Majumdar
Senior Faculty
An MBA from ISB, Suchit is ranked among India's Top 20 Data Science Academicians and brings deep expertise in Data products. Suchit is popular for his interactive style of teaching and using practical real world examples.
Deepesh Wadhwani
Senior Faculty
Deepesh is a Senior Faculty at INSAID and teaches ML- I, II & III terms. He is an alumni of IIM Calcutta and a high-achieving professional in Data Science industry and his interactive style of teaching makes him among the most popular faculty at INSAID.
Lavi Nigam
Senior Faculty
Lavi is a Senior Faculty at INSAID and is known for bringing real world perspectives in classes he delivers at INSAID.Lavi has more than a decade of experience & in his most recent stint has worked as Senior Data Scientist at HCL.
Prahlad Modi
Senior Faculty
An MBA from ISB, Prahlad Modi is working as a Lead Product Manager at Open text, Prahlad specializes in technical Product Management & bring this experience in classes.
Amit Goyal
Senior Faculty
Amit Goyal is a Senior Faculty at INSAID. Amit has 8 years of work experience and his area of expertise is Advanced Analytics & Tableau. He has also trained professionals across the globe on SAS, R, Tableau and Power BI.
Sai Charan Tej Kommuri
Senior Faculty
Sai Charan Tej Kommuri is a seasoned Product Manager, specialized in building Machine Learning products from scratch. Today, as a Product Manager at Teradata, he identifies business problems and leverages design-thinking principles.
Khanjan Desai
Senior Faculty
An MBA from ISB, Khanjan Desai is a Sr. Product Manager with PayPal & has expertise in building world-class products. Before this she has worked at Razorpay as Product Manager & brings strong aspects of Product strategy while teaching Product Management.
Abhinav
Senior Faculty
Abhinav is a Senior Faculty at INSAID who holds 16 years of diversified experience as a Senior Data Scientist & Artificial Intelligence Expert, Banker, Entrepreneur, and Business Consultant. He is an MBA from Indian Institute of Foreign Trade.
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.
FAQ
We’ve answered everything you need
- INSAID Vision Scholarship is available to anyone with a deep interest in next generation technologies like Data Science, AI, Big Data Analytics & IOT
- Wants to be a Data leader of tomorrow and has had a demonstrated professional success
- who will passionate serve INSAID's mission of putting India on the global AI map.
To know more about this scholarship, talk to our Admissions today!
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
13 Feb 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
1000 movies
Analysis the IMDB 1000 most popular movies and come up with interesting insights.
Restaurant Across America Data
Analyse the availability and accessibility of food across America.
Analysis on Facebook Utilization
Analyze and identify the pattern of usage of facebook utilization by different people.
Customer Classification
Classify whether a customer belongs to a high net worth or low net worth group.
Predicting Beijing's Air Pollution
To predict the amount of particulate matter in the air.
Flight Passengers Satisfaction Prediction
Predicting the satisfaction level of flight passengers.
Avocado Price Prediction
Predicting the future price of avocadoes based on historical data.
Concrete Compressive Strength Prediction
Predicting the compressive strength of the concrete, based on the materials used.
Solar Radiation Prediction
Predicting the future solar radiations, based on the historical meteorological data.
Legendary Pokemon Prediction
Predicting the legendary pokemons and also identifying what makes a pokemon legendary.
Human Activity prediction
Predicting the human activity and draw other insights by analyzing the smartphone sensor data.
Seattle Weather Prediction
Predict whether it will rain on a specific day in Seattle or not.
Hubway data visualization challenge
Produce visualizations that reveal interesting user patterns about how people in Boston gets around on Hubway
Kickstarter funding patterns
Derive insights on successful and failed projects on Kickstarter platform.
How bad is the Air Quality in metropolitans?
Analyse worsening airquality in metropolitan cities.
Marketing strategies in Retail banking
Derive insights on how sucessful are the direct marketing campaigns of a Portuguese Bank.
What are the Characters in superhero comics
Identify the good, bad and the ugly nature of characters in Marvel comics.
What caused International crisis
Identify all factors which caused major international crisis events in the last 100 years.
DEFCON Level Classification
Classify the different DEFCON levels based on certain conditions.
Natural Scenes Prediction
Distinguish different natural scenes into their respective classes.
Presence of Ships in Satellite Imagery
Differentiate between images containing ships and those not containing ships.
Detection of Bird Species
Classify different species of bird using a collection of bird species images.
Product Classification based on Review
Predict the label of the product based on a review.
Nietzsche Texts Generator
Generate texts out a set of characters or words of Nietzsche texts using text generation model.
Instructors
Learn from the INDIA’s leading Data Science Professionals through live classes
Most reviewed 5/5Manvender Singh
CEO, INSAID
Manvender Singh(Manav) is the CEO & senior faculty at INSAID. An MBA from Indian School of Business, Manav is among the most well known faces in professional education in India and has been a pioneer of Data Revolution in India.
Suchit Majumdar
Senior Faculty
An MBA from ISB, Suchit is ranked among India's Top 20 Data Science Academicians and brings deep expertise in Data products. Suchit is popular for his interactive style of teaching and using practical real world examples.
Deepesh Wadhwani
Senior Faculty
Deepesh is a Senior Faculty at INSAID and teaches ML- I, II & III terms. He is an alumni of IIM Calcutta and a high-achieving professional in Data Science industry and his interactive style of teaching makes him among the most popular faculty at INSAID.
Lavi Nigam
Senior Faculty
Lavi is a Senior Faculty at INSAID and is known for bringing real world perspectives in classes he delivers at INSAID. Lavi has more than a decade of experience & in his most recent stint has worked as Senior Data Scientist at HCL.
Prahlad Modi
Senior Faculty
An MBA from ISB, Prahlad Modi is working as a Lead Product Manager at Open text, Prahlad specializes in technical Product Management & bring this experience in classes.
Amit Goyal
Senior Faculty
Amit Goyal is a Senior Faculty at INSAID. Amit has 8 years of work experience and his area of expertise is Advanced Analytics & Tableau. He has also trained professionals across the globe on SAS, R, Tableau and Power BI.
Sai Charan Tej Kommuri
Senior Faculty
Sai Charan Tej Kommuri is a seasoned Product Manager, specialized in building Machine Learning products from scratch. Today, as a Product Manager at Teradata, he identifies business problems and leverages design-thinking principles.
Khanjan Desai
Senior Faculty
An MBA from ISB, Khanjan Desai is a Sr. Product Manager with PayPal & has expertise in building world-class products. Before this she has worked at Razorpay as Product Manager & brings strong aspects of Product strategy while teaching Product Management.
Abhinav
Senior Faculty
Abhinav is a Senior Faculty at INSAID who holds 16 years of diversified experience as a Senior Data Scientist & Artificial Intelligence Expert, Banker, Entrepreneur, and Business Consultant. He is an MBA from Indian Institute of Foreign Trade.
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.
