PG Program in Product Management and Analytics

BY
Great Learning

Learn all the skills that make you job-ready and build a rewarding analytics career with Product Management and Analytics by Great Learning.

Mode

Online

Duration

6 Months

Fees

₹ 135000

Quick Facts

particular details
Collaborators Great Learning
Medium of instructions English
Mode of learning Self study, Virtual Classroom
Mode of Delivery Video and Text Based

Course overview

The Product Management and Analytics programme enable you to design and innovate products from concept to launch by connecting the technical, design, and business worlds. You will build a foundation in data analytics and product management with rigorous analytical approaches to launch, develop, and manage products.

At the end of the Product Management and Analytics training, you will become a complete product manager. You will have the ability to solve and visualise complex analytical problems and create and innovate delightful digital experiences and products through design strategies you will learn during the course of this postgraduate programme.

Upon completing the Product Management and Analytics course, you will earn a PG certificate from the Great Lakes Institute of Management. You will also have a diverse portfolio of projects that you can showcase to potential employers. You can also share your e-portfolio and certificate on your social media channels to improve your visibility.

The highlights

  • 15+ weekly online mentorship sessions
  • 65+ hours of self-paced video lectures
  • 4 Innovations - Sprint Masterclasses
  • 1 product innovation project
  • Case study-based pedagogy
  • Shareable e-portfolio
  • 10+ hands-on project Assignments
  • 24 quizzes

Program offerings

  • 24 quizzes
  • 10+ hands-on projects
  • 65+ hours of self-paced videos
  • 15+ weekly mentorship sessions
  • Completion certificate
  • Shareable e-portfolio
  • Case-study based learning

Course and certificate fees

Fees information
₹ 135,000
  • One must pay the Product Management and Analytics programme fee to enrol.

PG Program in Product Management and Analytics fee structure

Course

Fees in INR

Product Management and Analytics

Rs. 1,35,000

GST

18%

certificate availability

Yes

certificate providing authority

Great Learning

Who it is for

The Product Management and Analytics course are ideal for:

  • Software Developers who wish to lead product development and contribute to their organisation
  • Project Managers and Project Leads who want to transition to Product Managers/Product Owners
  • Early-career professionals
  • UX/UI designers who want to widen their skill set and acquire proficiency in product management
  • Early to mid-career sales and marketing professionals  and engineers who wish to transition to Product Management

Eligibility criteria

To join the Product Management and Analytics certification, you require a Bachelor's Degree with at least 50% marks or equivalent CGPA (45% in case of SC/ST).

What you will learn

Knowledge of google analytics Knowledge of excel Design thinking Marketing skills Knowledge of product management

Upon completing the Product Management and Analytics syllabus, you will be able to:

  • Analyse how users interact with the product to start a feedback loop for continuous improvement
  • Develop an analytical mindset based upon decision making using tools like Google Analytics and MS Excel 
  • Employ wireframing tools to create mock-ups to test user interface and experience
  • Analyse market and product opportunities to recognise unmet consumer needs
  • Develop a product thinking mindset for tactical and strategic decision-making while juggling the internal and market stakeholders

The syllabus

Pre-work

  • Self-paced Module: Excel Basics

Discover needs and Develop products

Fundamentals of Product Management
  • Overview of Product Management
  • Product Lifecycle Management
Product Strategy
  • Product and Business Strategy for digital products
  • Market Opportunity Analysis and Product Discovery
  • Customer Targeting Strategy
  • Product Differentiation and Value Proposition
  • Product Innovation Project: Milestone 1: Step 1
Product Design
  • Design Thinking
  • User and Product Design Principles
  • Developing Prototypes- Using wireframing tool
  • Product Innovation Project: Milestone 1: Step 2
Driving Product Execution
  • Minimum Viable Product
  • Product Testing and Agile Development- Agile with Jira
  • Product Innovation Project: Milestone 2: Step 1

Product Development and Go-to-Market Strategy

Launching Products to Market
  • Product Pricing Strategy
  • Business Model Design
  • Product Marketing Strategy
  • Product Innovation Project: Milestone 2: Step 2
Product Analytics and Data Visualization
  • Introduction to Analytics
  • Product Analytics
  • Data Visualization
Product Leadership
  • Stakeholder Communication
  • Leading Product Organisations
  • Product Growth Strategy and Roadmap
  • Career in Product Management
  • Product Innovation Project: Milestone 3
Product Innovation Project
  • Final Presentation

Product Innovation Project

Domain Selection
  • Fintech
  • Media and Entertainment
  • Smart Home Appliances
  • AR/VR
  • Healthcare/Health Tech
  • Local Languages
  • Travel & Exploration
  • Learning & Education/ Ed Tech
  • Foodtech
  • Digital Workspaces
  • Health & Wellness
  • Ecommerce/Hyperlocal
Problem Discovery and User Identification
  • Understanding of business factors affecting product space
  • Research on customer needs
  • Identifying customer pain points
  • Industry research, Market Analysis and Problem Discovery
  • Understanding of key buying influences
Empathy Map and Wireframe Prototypes
  • Defining the user challenges, brainstorming, and using design thinking as an effective tool to better understand users and derive a solution.
  • Use empathy maps to effectively outline the user journey to derive meaningful solution research, Observe, Understand and create a product design Create the product wireframe using a wireframing tool.
MVP Plan and Product Development
  • Creation of MVP Plan and MVP
  • Functionality, Reliability, Usability and Design Testing (Feedback collection)
  • Feedback collection, Planning for the changes, Data analysis, Product design iteration, Product delivery planning
  • Product Requirement Document
Define and plan Go-to-Market strategy - (Business plan, Marketing plan)
  • Problem and Solution, Key metrics, Value proposition, Cost Structure, and Revenue stream
  • Product Launch Plan
  • Marketing stream and channel details
Final Pitch Presentation
  • Future road map and Preparation of business pitch
  • Product Growth Strategy and Roadmap and Stakeholder Communication

Career Assistance: Resume Building, Mock Interviews, 1: 1 Mentorship

Admission details

Step 1: Head over to the Product Management and Analytics online course website.

Step 2: Select the “Apply Now” option located on top

Step 3: Start your application by filling a simple online application form

Step 4: The faculty panel will review your application

Step 5: If your application is shortlisted, you will have to appear for a telephonic interview.

Step 6: Once your application is approved, you will receive an admission offer, after which you’ll have to pay the programme fee.


Filling the form

You need to fill a short online application form to enrol in the Product Management and Analytics training. The form requires basic details like name, mobile number, city, work experience, industry, email address, and organisations you’ve worked in.

How it helps

By enrolling in the Product Management and Analytics training course, you get access to over 10 hands-on projects, allowing you to practice all your skills to be ready for what the industry has in store for you. Apart from that, the course also has a ton of assignments and exercises to keep you on your toes. 

Additionally, mentorship sessions are also conducted every week to give your industry insights and an idea about the skills you should be focussing on. After completion, you also unlock career assistance, wherein you build the ideal portfolio and profile recruiters are looking for. You also get to add a certificate of completion to your resume, thereby improving the impact it has. 

Instructors

Dr Abhinanda Sarkar

Dr Abhinanda Sarkar
Academic Director
Great Learning

Other Bachelors, Other Masters, Ph.D

Mr Milind Kopikare
Professor
Great Learning

Mr Raghavshyam Ramamurthy

Mr Raghavshyam Ramamurthy
Professor
Freelancer

MBA

FAQs

Who are the instructors for the Product Management and Analytics course?

Prof Milind Kopikare and Dr. Abhinanda Sarkar are the instructors for the Product Management and Analytics programme.

What tools do I learn to use during this course?

You will work on tools like TableauSQL, Google Analytics, Balsamiq, Trello, MS Excel, and many more.

Who conducts the mentorship sessions?

The mentorship sessions will be conducted by Shrinath V, Soham Mondal, Vivek Singh, and Paritosh Desai.

How many hours of course content do I get access to?

You get access to over 65+ hours of video lectures.

Is the course self-paced?

Yes, the training is entirely self-paced, meaning you can’t navigate the course content at your own speed and convenience.

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