Advanced level program
PGP in Product Management and Data Science
12 months | Live Instructor led | Weekend Online
Master Product Management and Data Science
Designed by mentors from
4.9/5
(2000+ ratings)
10000+
enrolled professionals
Talk to Learning Advisor
96258-11095
9 AM - 9 PM IST
Admission Deadline :
60%
Average Salary Hike
1500+
Career Transitions
10/10
Placement Assistance
Program Overview
This program includes:
12 Terms - Product Management, Analytics, ML
Duration: 12 months | Weekend Online
Live Instructor led classes
Daily doubt clearing
Term projects & Capstone projects
No Cost EMI upto 12 months
Placement Support & Assistance
Industry Immersion with Top Product Leaders
1:1 career mentorship sessions
Who should join?
Engineers, MBAs, Freshers, Analysts, Leads, Technical Program Managers, Product/Project managers, or anyone from non tech (Sales, Marketing, Teaching) backgrounds who is interested to master cross functional skills in both Data Science & Product Management.
Job Opportunities
Analyst, Data/Data Analytics Product Manager, Data Science Product Manager.
Want to Know More?
The world needs product managers who understand needs,
people, and outcomes to build great products.
- Suchit Majumdar, Chief Product Officer, INSAID.
Program Syllabus
Term 1 : Introduction to Product Management
4 weeks
Understanding Basics of Product Management
Who is a Product Manager?
Different Hats of a Product Manager
Importance of Research in Product Management
Term 2 : Product Strategy & Roadmap
4 weeks
What is Product Planning Cycle?
Establishing Product Vision & Mission
Formulating Product Strategy & Product Goals
What is Product Backlog & Roadmap
Term 3 : Product Design Thinking
4 weeks
The Philosophy of Design Thinking
Decoding Creativity & Innovation
Design Thinking for PMs
Building MVP - Artefacts, Persona Mapping, & PRD's
Mission: Design Discovery
-
Mission: 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.
Term 4 : UI/UX for PMs
4 weeks
User Experience 101
User Interface 101
Importance of UX/UI for PMs
Designing Mockups, Wireframes, & Prototypes
Term 5 : Product Engineering
4 weeks
Intoduction to Engineering for Product Managers
Understanding Microservices & Cloud Services
Waterfall & Agile Methodology
Understanding Scrum & Kanban
Term 6 : Product Marketing & Launch
4 weeks
Product Development & Planning User Tests.
Product Launch & A/B Testing.
Understanding Product Marketing & Consumer Behaviour.
Managing a Brand & Measuring Impact of Product Marketing.
Capstone Project-1
-
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.
Term 7 : Data Analysis with Python
4 weeks
Data Science Fundamentals
Python for Data Science
Statistics for Data Science
Data Operations with Numpy
Data Manipulation with Pandas
Term 8 :: Data Visualization Techniques
4 weeks
Introduction to Data Visualization
Data Visualization using Matplotlib
Hands-on Pandas for Rapid Visualization
Seaborn for Data Visualization
Term 9: EDA & Data Storytelling
4 weeks
Introduction to Exploratory Data Analysis
EDA Framework Deep Dive
Scientific Exploration of Industry Data - I & II
Student Presentations & Insight Delivery
Capstone Project - 2
-
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
Term 10 : Machine Learning Foundation
4 weeks
Introduction to Machine Learning (ML)
Linear Regression
Logistic Regression
Model Evaluation Techniques
Term 11 : Machine Learning Intermediate
4 weeks
Decision Trees
Random Forests
Dimensionality Reduction using PCA
Naïve Bayes Classifier
Term 12: Machine Learning Advanced
4 weeks
KNN (K- Nearest neighbors)
K-means Clustering
Ensemble Learning
Optimization
Capstone Project - 3
-
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 you will learn
Completion & Merit Certifications
Live Projects and Case studies
Topic wise Assignments
40+ Tools and Packages
Faculty & Mentors
Prahlad,
Paypal
Sai,
Harihara,
Amazon
Shailendra,
Spinny
Rajib,
Walmart
Ankur,
Archer
Work on world class Projects
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.
Avocado Price Prediction
Predicting the future price of avocadoes based on historical data.
Share your achievements
with your professional network
Globally recognized certifications
Unique certification ID
Lifetime validity
10000+
Professionals upskilled in
product skills.
60%
Average salary hike after career transition.
2-in-1
Get two Certifications - Completion & Merit
Our students work at
Recent Career transitions
GCPM
(6 months)
GCPM
(6 months)
PGPPMDS
(12 months)
PGPPM
(10 months)
Ranjith Malapaty
Sr. Software Engineering Manager
Sr. Technical Product Manager
GCPM
(6 months)
PGPPM
(10 months)
Beyond the program advantage
Learning Resources & Technical Support
Dedicated resource center with 1000+ resources to ease your Product management journey. 24/7 Technical support to answer your queries.
Industry immersion with Top Product Leaders
Monthly Speaker Connect
Your learning isn’t limited to the weekly sessions led by faculty but at INSAID we rope in top 9roduct leaders across the world to help you gain not only practical insights but also prep you for cut throat competition.
International Summits
Every six months, we organize Product Week Summits inviting leaders from one diverse geography. Most recent one being India Product Week.
Placement Assistance
-
Carefully crafted program such as career launchpad which will help the candidates to polish their resume & LinkedIn profiles.
-
Participating in Mock interviews & get job ready Job.
-
Dedicate job opening portal to find your perfect role.
Lifelong Community Support
Life-time access to the resources, content and community support to clear your doubts.
Admission Process
STEP 1
Schedule call with learning advisor
To discuss career transition and end objectives
STEP 2
Apply for Scholarship
Apply for scholarship upto 70% on the entire program fee
STEP 3
Start Learning
Get access to your dashboard and begin your journey with starter kits.
Program Fee
Program Fee (without scholarship)
INR 3,50,000 +GST
Program Fee (with 70% scholarship)
INR 1,23,900
(including GST)
EMIs Starting 7k/month*
No cost EMI options available*.
Student Reviews
Frequently Asked Questions
PROGRAM PRE-REQUISITES
1. Do I need to have prior product management experience to enroll in the program?
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.
2. What is the minimum system configuration required?
Any latest processor (i3/i5/i7) with 2.0Ghz clock speed and 4GB RAM (Minimum), 8GB (Recommended).
SYLLABUS & PROJECTS COVERED
1. How many case studies can I expect to work on?
In PGPPMDS you will have access to more than 35 case studies, Mission: Design Discovery, Major Product, and Capstone Product to provide a better understanding of the real-world applications of product management concepts.
2. What's the difference between case studies & projects?
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.
3. What all topics are covered in the PGPPMDS Program?
Download our latest program brochure &
curriculum.
TIME COMMITMENT
1. How much time I have to spend every week?
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.
2. What is the duration of the program?
The duration of the program is 12 months, every term is approximately 4-5 weeks long.
PROGRAM FEE & SCHOLARSHIPS
1. Are there any scholarships available?
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.
2. What is the criteria for getting the scholarship?
- 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!
WHY INSAID
1. How's the PGPPMDS program different?
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.
2. Tell me more about Career Assistance?
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.
3. What's the refund policy?
Go through our Student Policy link.
Have more queries
related to career or program?
Call us +91 96258-11095 (or)
Schedule chat with our experts
Other popular programs
Advanced level program
PGP in Product Management and Data Science
12 months | Live Instructor led | Weekend Online
Talk to Learning Advisor
96258-11095
9 AM - 9 PM IST
Admission Deadline : 18 Sep 2022
60%
Average Salary Hike
1500+
Career Transitions
10/10
Placement Assistance
Program Overview
This program includes:
12 Terms - Product Management, Analytics, ML
Duration: 12 months | Weekend Online
Live Instructor led classes
Daily doubt clearing
Term projects & Capstone projects
No Cost EMI upto 12 months
Placement Support & Assistance
Industry Immersion with Top Product Leaders
1:1 career mentorship sessions
Who should join?
Engineers, MBAs, Freshers, Analysts, Leads, Technical Program Managers, Product/Project managers, or anyone from non tech (Sales, Marketing, Teaching) backgrounds who is interested to master cross functional skills in both Data Science & Product Management.
Job Opportunities
Analyst, Data/Data Analytics Product Manager, Data Science Product Manager.
Want to Know More?
Every individual from various backgrounds must learn
Analytics to outshine in the competive world today!
- Suchit Majumdar, Chief Data Science Mentor, INSAID.
Program Syllabus
12 Terms
(12 months)
250+ hours of
live classes
35+ career
sessions
Term 1 : Introduction to Product Management (4 weeks)
Understanding Basics of Product Management
Who is a Product Manager?
Different Hats of a Product Manager
Importance of Research in Product Management
Term 2 : Product Strategy & Roadmap (4 weeks)
What is Product Planning Cycle?
Establishing Product Vision & Mission
Formulating Product Strategy & Product Goals
What is Product Backlog & Roadmap
Term 3 : Product Design Thinking (4 weeks)
The Philosophy of Design Thinking
Decoding Creativity & Innovation
Design Thinking for PMs
Building MVP - Artefacts, Persona Mapping, & PRD's
Mission: Design Discovery
-
Mission: 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.
Term 4 : UI/UX for PMs (4 weeks)
User Experience 101
User Interface 101
Importance of UX/UI for PMs
Designing Mockups, Wireframes, & Prototypes
Term 5 : Product Engineering (4 weeks)
Intoduction to Engineering for Product Managers
Understanding Microservices & Cloud Services
Waterfall & Agile Methodology
Understanding Scrum & Kanban
Term 6 : Product Marketing & Launch (4 weeks)
Product Development & Planning User Tests.
Product Launch & A/B Testing.
Understanding Product Marketing & Consumer Behaviour.
Managing a Brand & Measuring Impact of Product Marketing.
Capstone Project-1
-
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.
Term 7 : Data Analysis with Python (4 weeks)
Data Science Fundamentals.
Python for Data Science
Statistics for Data Science.
Data Operations with Numpy
Data Manipulation with Pandas
Term 8 : Data Visualization Techniques (4 weeks)
Introduction to Data Visualization
Data Visualization using Matplotlib
Hands-on Pandas for Rapid Visualization.
Seaborn for Data Visualization.
Term 9 : EDA & Data Storytelling (4 weeks)
Introduction to Exploratory Data Analysis
EDA Framework Deep Dive
Scientific Exploration of Industry Data - I & II
Student Presentations & Insight Delivery
Capstone Project - 2
-
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
Term 10 : Machine Learning Foundation (4 weeks)
Introduction to Machine Learning (ML)
Linear Regression
Logistic Regression
Model Evaluation Techniques
Term 11 : Machine Learning Intermediate (4 weeks)
Introduction to Machine Learning (ML)
Linear Regression
Logistic Regression
Model Evaluation Techniques
Term 12 : Machine Learning Advanced (4 weeks)
KNN (K- Nearest neighbors)
K-means Clustering
Ensemble Learning
Optimization
Capstone Project - 3
-
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 you will learn
Completion & Merit Certifications
Live Projects and Case studies
Topic wise Assignments
40+ Tools and Packages
Faculty & Mentors
Work on world class Projects
Product Classification based on Review
Predict the label of the product based on a review.
Predicting the Topic of the News
Generate texts out a set of characters or words of Nietzsche texts using text generation model.
Nietzsche Texts Generator
Differentiate between images containing ships and those not containing ships.
Avocado Price Prediction
Predicting the future price of avocadoes based on historical data..
Share your achievements
with your professional network
Globally recognized certifications
Unique certification ID
Lifetime validity
10000+
Professionals upskilled in product skills.
60%
Average salary hike after career transition.
2-in-1
Get two Certifications - Completion & Merit
Recent Career transitions
Beyond the program advantage
Learning Resources & Technical Support
Dedicated resource center with 1000+ resources to ease your Product management journey. 24/7 Technical support to answer your queries.
Industry immersion with Top Product Leaders
Monthly Speaker Connect
Your learning isn’t limited to the weekly sessions led by faculty but at INSAID we rope in top Product leaders across the world to help you gain not only practical insights but also prep you for cut throat competition.
International Summits
Every six months, we usually organize Product Week Summits inviting leaders from one diverse geography. Most recent one being India Product Week.
Placement Assistance
-
Carefully crafted program such as career launchpad which will help the candidates to polish their resume & LinkedIn profiles.
-
Participating in Mock interviews & get job ready Job
-
Dedicate job opening portal to find your perfect role.
Lifelong Community Support
Life-time access to the resources, content and community support to clear your doubts.
Admission Process
STEP 1
Schedule call with learning advisor
To discuss career transition and end objectives.
STEP 2
Apply for Scholarship
Apply for scholarship upto 70% on the entire program fee.
Note: INR 3,000 is included in the program fee & not being charged extra.
STEP 3
Start Learning
Get access to your dashboard and begin your journey with starter kits.
Program Fee
Program Fee (without scholarship)
INR 3,50,000 +GST
Program Fee (with 70% scholarship)
INR 1,23,900
(including GST)
EMIs Starting 7k/month*
No cost EMI options available*.
Student Reviews
Frequently Asked Questions
PROGRAM PRE-REQUISITES
1. Do I need to have prior product management experience to enroll in the program?
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
2. What is the minimum system configuration required?
Any latest processor (i3/i5/i7) with 2.0GHz clock speed and RAM 4GB (required), 8GB(recommended).
SYLLABUS & PROJECTS COVERED
1. How many case studies can I expect to work on?
In PGPPMDS you will have access to more than 20 case studies, Mission: Design Discovery, and Major Product to provide a better understanding of the real-world applications of product management concepts.
2. What's the difference between case studies & projects?
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.
3. What all topics are covered in the PGPPMDS Program?
Download our latest program brochure &
curriculum.
TIME COMMITMENT
1. How much time I have to spend every week?
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.
2. What is the duration of the program?
The duration of the program is 10 months, every term is approximately 4-5 weeks long.
PROGRAM FEE & SCHOLARSHIPS
1. Are there any scholarships available?
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.
2. What is the criteria for getting the scholarship?
- 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!
WHY INSAID
1. How's the PGPPMDS program different?
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.
2. Tell me more about Career Assistance?
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.
3. What's the refund policy?
Go through our Student Policy link.
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