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Certified Data Product Manager
Introduction
Introduction (5:56)
Gaining Clarity (7:37)
Program Structure (5:21)
Sign up For ProductHQ Community (3:22)
The Learning Process
The Process (2:56)
Comments (5:03)
Getting Feedback (1:24)
Giving Feedback (3:37)
How To Get Your Data PM Certificate?
Your Certificate Criteria
Module 1: What is Data Product Management
Introduction (0:29)
Data PM Role, Skills, and Traits (14:52)
Types of Data Products (4:42)
Data-Driven Product Management (10:40)
Capstone Part 1 - Develop Your Capstone (3:17)
How to Choose Capstone (7:29)
Next Steps for Your Capstone
Assignment Board Access (1:15)
Making Your Assignments Accessible (0:52)
Module 2: Data Inspired Product Design
Introduction (1:28)
Leading Indicators vs Lagging Indicators (8:14)
Key Product Metrics (10:23)
Customer Journey (2:53)
Customer Journey Metrics (7:01)
Product Analytics Frameworks I (5:43)
Product Analytics Frameworks II (3:00)
Product Analytics Framework III (3:58)
Product Analytics Stack for Data-Inspired Product Design (5:35)
Community and Capstone Deliverables (4:23)
Capstone Part 2 - Develop Product Metrics Strategy
Data PM Bonus Incentive Content
Data PM Incentive Bonus (2:17)
Module 3: Business Models and Metrics
Introduction (0:49)
Common Business Models and Metrics (13:41)
Capstone Part 3 - Identify your business model and metrics
Module 4: Data Inspired Market Research
Introduction (3:11)
Market Size Estimate (6:43)
Conjoint Analysis (12:59)
CLV (1:36)
NPS and CSAT (2:19)
Cluster Analysis (3:52)
Capstone Part 4: Perform Market Research
Module 5: Product Segmentation
Introduction (3:17)
Introduction to Segmentation (1:26)
Behavioral Segmentation (2:13)
Cohort Segmentation (3:13)
Demographic Segmentation (2:27)
Psychographic Segmentation (2:32)
Customer Status Segmentation (1:12)
Customer Value Segmentation (2:00)
RFM Segmentation (1:23)
Capstone Part 5: Identify Your Segmentation Strategy
Module 6: Qualitative Data
Introduction (1:36)
Qualitative Data (3:54)
Capstone Part 6: Identify Qualitative Data Strategy
Module 7: Data Foundations Using SQL - Setting up the Environment
Introduction (2:24)
Introduction to SQLite (7:23)
SQL Queries (9:13)
Primary Key and Foreign Key (9:21)
CRUD (4:18)
Capstone Practice Lab: SQL Intro
Module 8: Data Foundations Using SQL - Getting started with SQL Queries
Introduction (1:10)
DDL & DML (1:43)
Building Blocks of SQL (17:25)
What are aggregated data/tables?
Where vs Having (1:07)
Joins (6:27)
SQL Functions (14:47)
Nested Functions (1:18)
Sub-Queries (9:50)
Views (3:34)
SQL Alias (1:17)
Making Views Tangible (4:42)
Capstone Practice Lab: SQL Foundations
Module 9: SQL For Statistics
Introduction (3:07)
Installing PostgreSQL + New Database (3:00)
Populating Table with Data (5:11)
Data PM and Exploratory Data Analysis (2:59)
Data Structures and SQL (17:59)
Regex Match in SQL (6:15)
Data Structure Analysis Summary (3:29)
Descriptive Data Analysis I (6:53)
Description Data Analysis II (9:56)
Percentiles and Frequency (4:49)
Quartiles (1:34)
Correlation (5:02)
Capstone Practice Lab: Statistics with SQL
Module 10: Data Modeling
Introduction (3:24)
Data Modeling (12:28)
Capstone Part 7: Design your Data Model
Module 11: Data Visualization
Introduction (1:50)
Data Viz Design Principles (10:37)
Tableau Viz (17:08)
Capstone Practice Lab: Develop your Viz
Visualization Resrouces
Module 12: Data Platform Product Management
Introduction (2:38)
Data Producers (8:54)
Data Producers Quiz
Data Types (3:38)
Data Types Quiz
Data Lake (5:19)
Data Lake Quiz
Data Pipeline (6:37)
Data Pipeline Quiz
Data Warehouse (5:58)
Data Warehouse Quiz
Data Consumers (6:07)
Data Consumers Quiz
Data Platform Walkthrough (2:56)
Capstone Part 8: Develop Your Data Platform Strategy
Module 13: Installing Data Pipeline in Cloud (Optional but High-value if you are in Data Platform PM Role))
Introduction (1:13)
End to End Pipeline Setup Walkthrough (43:06)
Project Setup On Mac (34:42)
Project Setup On Windows I (4:55)
Project Setup On Windows II (5:31)
Project Setup on Windows III (66:43)
Project Setup on Windows IV (83:58)
Capstone Practice Lab: Develop and Install Data Pipeline
Data Engineering Best Practices
Data Engineering Principles
Data Governance
Data Governance
Module 14: Experimentation
Introduction (1:42)
Experimentation Origins and Benefits (4:17)
Product Experimentation Framework (0:56)
Hypothesis Design (6:08)
Experiment Design (9:40)
Experimentation Pre-Launch Checklist (4:40)
Product Roadmap and Experiments (3:38)
Statistics of Hypothesis Testing (7:07)
Biases (4:08)
Capstone Part 9: Develop Your Experimentation Strategy
Module 15: Data PM Hands-On Lab
Introduction (1:09)
Cohort Analysis Part I (1:46)
Cohort Analysis Part II (22:38)
Regression Analysis - Python (13:38)
Regression Analysis - SQL (8:46)
Retention Analysis (14:18)
AI Flywheel
Module 16: Data PM Resume and Interview Strategy
Data PM Interview Q&A
How to Create Data PM Resume?
What's Next: ProductHQ Accelerator
How to Join No-Cost ProductHQ Accelerator
End to End Pipeline Setup Walkthrough
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