Product Management Essentials
Become a job-ready product analyst in 10 weeks - with hands-on projects, GenAI tooling, and mentorship from product leaders at Walmart, Microsoft & Google.
Learning Mode Online
Course Duration 2 Months
Time Commitment 10 Hrs/Week
4.81K+ students have already registered
Why choose this course?
Prestigious certification from Vishlesan i-Hub, IIT Patna
Real world capstone projects designed to solve practical challenges
Learn from IIT faculty & industry experts bringing real-world insights to your learning journey.
Placement assistance, resume reviews, coaching(Eligibility: 7 CGPA, 65% attendance)
*Certificate Eligibility: Minimum 65% overall attendance and 30% marks in cumulative evaluations score
What will you learn?
A 10-week foundations program for aspiring product analysts and junior PMs. Build the product thinking, data skills, and communication ability to work confidently in a real product team — from day one.
Meet our Instructor Team
*Note: Instructors teaching your batch may change based on specific module expertise, or circumstances such as personal emergencies, unavailability etc.
Course Details
Product Thinking & Discovery
- Understand how digital products create user value and business value — and how acquisition, activation, retention, monetisation, and trust shape every product decision
- Learn how PM, design, engineering, and analytics work together in real product environments — so you know your role and how to collaborate effectively from day one
- Distinguish shallow feature requests from real user problems — and frame product problems clearly using actor, task, friction, and consequence
- Build discovery thinking through hypothesis writing, flow reading, and friction mapping — the foundational skills of every strong product analyst
- Develop deep understanding of activation, retention, churn, conversion, north-star metrics, funnels, cohorts, and segmentation — so you can interpret product movement with clarity, not just memorise terms
Miro FigJam Notion Product Metrics Frameworks
Data Skills for Product Analysts
- Use Sheets and Excel to structure raw product data, clean inconsistencies, reconcile tabs, validate counts, apply formulas and lookups, and build KPI trackers for real product questions
- Understand how product data is stored across users, events, sessions, subscriptions, and experiments — the mental model every PM and product analyst needs before writing a single query
- Write SQL to filter events, calculate KPIs, join related tables, analyse segments, support funnel reading, and prepare retention and cohort-style analysis tables
- Build pivot summaries and reporting tabs that a product or growth team can actually use — not just exercises, but analyst-grade deliverables
Google Sheets Excel SQL BigQuery Product Analytics Tables
Insight Communication & PM Decision-Making
- Read KPI dashboards with trend and comparison views, detect anomalies, and understand what a well-structured product dashboard should contain
- Convert data outputs into concise stakeholder-friendly notes that clearly separate observation, insight, implication, and recommendation
- Communicate feature ideas clearly and build beginner-level decision-making ability around opportunity sizing, prioritisation, trade-offs, and evidence-backed recommendations
- Learn lightweight prototyping for PMs — describe an idea, mock it up quickly, and present it in a way that moves a conversation forward
Tableau Looker Studio Google Slides Notion No-Code Prototyping Tools
AI for Product Work
- Understand where AI, ML, and LLMs fit into PM and product analytics workflows — and where they genuinely help versus where they introduce risk
- Write structured prompts for SQL drafting, metric summarisation, research synthesis, user-signal synthesis, and PRD support that save real time in real work
- Use AI to help with query drafting, metric interpretation, and structured problem notes — while applying human-review discipline before trusting any output
- Learn to verify AI outputs for fabricated claims, poor reasoning, broken SQL, and privacy or workflow risks — because using AI responsibly is a professional skill, not an afterthought
AI ML LLMs SQL Drafting Prompt Engineering Verification
Please Note :- "Due to the evolving nature of the industry expectations and partner institute feedback, some syllabus aspects may change. Any updates will be communicated during the Inauguration Session(s) or at the start of the relevant module"