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DURATION:

Self-Paced Learning

Study 5 hours/week to finish in 10 weeks

TIMELINE:

Lifetime access

Enjoy videos and updated course material for a lifetime

CONTENTS:

Capstone Project

Capstone Project: 100 video lessons + assignments + quizzes

    Request Syllabus

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    The Struggle: Why YOU Should Take This Course?

    Early in your career, you can end up wasting months trying to learn more data skills to break into a data product role. Despite all of your hard work, you’ll always feel lost because:

    • You lack a formal background in computer science or software engineering.
    • The courses and bootcamps offered in the tech industry are either too technical and jargon-filled, or lacked the sufficient depth.
    • You don’t confident that learning how to code and building a career in software engineering is right for you. Instead, you love the cross-functional skills that came with data product management.
    • You don’t have insider tips nor the right technical resources on how to stand out as a candidate in data PM interviews

    To become more data-centric, we went down the rabbithole to understand what it takes to build successful data products from the inside out. We interviewed thought-leaders within the industry. We learned the behaviors and habits of successful data product managers. Empowered with this knowledge, we created the Data Product Manager course so that no one else had to go through the painful experience that so many go through to become more data-oriented and land their first product manager role.

    What are you going to get from this course?

    • Over 100+ lectures, 15+ hours of content, 10+ downloadable Data PM templates, and exclusive interviews (more added over time) with data product managers in the industry.
    • Apply fundamentals learned from this course to your own PM project every day.
    • Learn the process of answering the most popular Data PM interview questions in order to stand out as a DPM candidate.
    • Earn an official certificate of completion upon finishing the course.

    Bonus Content:

    • PHQ is 100% committed to adding more BONUS course content and interviews with product leaders over time. You’ll also get FREE LIFETIME ACCESS to all future content!
    • Access to the world’s first and largest Product Manager Slack community where you can meet, chat with, and learn from over 9,000+ product people around the globe. The community also features the world’s top product leaders like Ken Norton (Product Partner, Google Ventures), Punit Soni (Chief Product Officer of Flipkart & Advisor to Google), Josh Elman (Partner at Greylock Partners), Ellen Chisa (VP of Product at Lola), Brandon Chu (Senior Product Manager at Shopify), Lulu Cheng (Product Manager at Pinterest), Jess Lee (Former CEO of Polyvore), Nir Eyal (Author of Hooked), and others in our community for regular Q&A sessions.

    Your Instructor

    Dhaval Bhatt is a Product Management Leader who has spent 16 years as an engineer, founder, and product management leader. He previously founded an artificial intelligence company that won the IBM Global Entrepreneur Award, Google Spark Award, NVIDIA AI Inception Award, Strata-Hadoop Featured Data Startup, and Orielly Intel Featured AI startup before being acquired by the Berkeley Data Science Group. He’s been a Sr. Product Owner for Data and Growth / Acquisition at Lifelock and he’s currently a Product Manager at Microsoft. He’s also an Instructor at UC Berkeley leading their immersive Data Science program.

    Data Product Manager Certification Course

    Get reimbursed for Data Product Manager Certification Course
    Data Product Manager Certification Course
    Fast-track your career by becoming a Certified Data Product Manager
    $499
    1 Certificate Program
    Get Access
    • 1 Certificate Program
    • Exclusive content
    • Community & (live) events
    • 30-day money-back guarantee
    Best Investment
    All Access
    Become a continuous learner and stay up-to-date with in-demand product management skills
    $749
    11 Certificate Programs
    Enroll Now
    • 11 Certificate Programs
    • Exclusive content
    • Community & (live) events
    • 30-day money-back guarantee
    • Personal coaching
    • Competency assessments

    Earn Your Certification

    Each certification is hosted on Product HQ's website ensuring its authenticity with hiring managers.

    Course Curriculum

    Introduction
    Introduction (5:56)

    Start

    Gaining Clarity (7:37)

    Start

    Program Structure (5:21)

    Start

    Sign Up For PHQ Community (3:22)

    Start

    How To Get Your Data PM Certificate?
    Your Certificate Criteria

    Start

    Module 1 - What is Data Product Management?
    Introduction (0:29)

    Start

    Data PM Role, Skills, and Traits (14:52)

    Start

    Types of Data Products (4:42)

    Start

    Data-Driven Product Management (10:40)

    Start

    Capstone Part 1 - Develop Your Capstone (3:17)

    Start

    How to Choose Capstone (10:42)

    Start

    Next Steps for Your Capstone

    Start

    Assignment Board Access (1:15)

    Start

    Making Your Assignments Accessible (0:52)

    Start

    Module 2: Data-Inspired Product Design
    Introduction (1:28)

    Start

    Leading Indicators vs Lagging Indicators (8:14)

    Start

    Key Product Metrics (10:23)

    Start

    Customer Journey (2:53)

    Start

    Customer Journey Metrics (7:01)

    Start

    Product Analytics Frameworks I (5:43)

    Start

    Product Analytics Frameworks II (3:00)

    Start

    Product Analytics Stack for Data-Inspired Product Design (5:35)

    Start

    Community & Capstone Deliverables (4:23)

    Start

    Capstone Part 2 - Develop Product Metrics Strategy

    Start

    Data PM Bonus Incentive Content
    Data PM Incentive Bonus (2:17)

    Start

    Module 3: Business Models & Metrics
    Introduction (0:49)

    Start

    Common Business Models & Metrics (13:41)

    Start

    Capstone Part 3 - Identify Your Business Models & Metrics

    Start

    Module 4: Data-Inspired Market Research
    Introduction (3:11)

    Start

    Market Size Estimate (6:43)

    Start

    Conjoint Analysis (12:59)

    Start

    CLV (1:36)

    Start

    NPS and CSAT (2:19)

    Start

    Cluster Analysis (3:52)

    Start

    Capstone Part 4: Perform Market Research

    Start

    Module 5: Product Segmentation
    Introduction (3:17)

    Start

    Introduction to Segmentation (1:26)

    Start

    Behavioral Segmentation (2:13)

    Start

    Cohort Segmentation (3:13)

    Start

    Demographic Segmentation (2:27)

    Start

    Psychographic Segmentation (2:32)

    Start

    Customer Status Segmentation (1:12)

    Start

    Customer Value Segmentation (2:00)

    Start

    RFM Segmentation (1:23)

    Start

    Capstone Part 5: Identify Your Segmentation Strategy

    Start

    Module 6: Qualitative Data
    Introduction (1:36)

    Start

    Qualitative Data (3:54)

    Start

    Capstone Part 6: Identify Qualitative Data Strategy

    Start

    Module 7: Data Foundations Using SQL - Setting Up The Environment
    Introduction (2:24)

    Start

    Introduction to SQLite (7:23)

    Start

    SQL Queries (9:13)

    Start

    Primary Key & Foreign Key (9:21)

    Start

    CRUD (4:18)

    Start

    Capstone Practice Lab: SQL Intro

    Start

    Module 8: Data Foundations Using SQL - Getting Started With SQL Queries
    Introduction (1:10)

    Start

    DDL & DML (1:43)

    Start

    Building Blocks of SQL (17:25)

    Start

    what are Aggregated Data Tables?

    Start

    Where vs Having (1:07)

    Start

    Joins (6:27)

    Start

    SQL Functions (14:47)

    Start

    Nested Functions (1:18)

    Start

    Sub-Queries (9:50)

    Start

    View (3.34)

    Start

    SQL Alias (1:17)

    Start

    Making Views Tangible (4:42)

    Start

    Capstone Practice Lab: SQL Foundations

    Start

    Module 9: SQL For Statistics
    Introduction (3:07)

    Start

    Installing PostgreSQL + New Database (3:00)

    Start

    Populating Table with Data (5:11)

    Start

    Data PM & Exploratory Data Analysis ( 2:59)

    Start

    Data Structures & SQL (17:59)

    Start

    Regex Match in SQL (6:15)

    Start

    Data Structure Analysis Summary (3:29)

    Start

    Descriptive Data Analysis I (6:53)

    Start

    Descriptive Data Analysis II (9:56)

    Start

    Percentiles & Frequency (4:49)

    Start

    Quartiles (1:34)

    Start

    Correlation (5:02)

    Start

    Capstone Practice Lab: Statistics with SQL

    Start

    Module 10: Data Modeling
    Introduction (3:24)

    Start

    Data Modeling (12:28)

    Start

    Capstone Part 7: Design Your Data Model

    Start

    Module 12: Data Platform Product Management
    Introduction (2:38)

    Start

    Data Producers (8:54)

    Start

    Data Producers Quiz

    Start

    Data Types

    Start

    Data Types Quiz

    Start

    Data Lake (5:19)

    Start

    Data Lake Quiz

    Start

    Data Pipeline (6:37)

    Start

    Data Pipeline Quiz

    Start

    Data Warehouse (5:58)

    Start

    Data Warehouse Quiz

    Start

    Data Platform Walkthrough (2:56)

    Start

    Capstone Part 8: Develop Your Data Platform Strategy

    Start

    Module 13: Installing Data Pipeline in Cloud (Optional But High-Value If You are in the Data PM Role))
    Introduction (1:13)

    Start

    End-to-End Pipeline Setup Walkthrough (43:06)

    Start

    Project Setup on Mac (34:42)

    Start

    Project Setup on Windows I (4:55)

    Start

    Project Setup on Windows II (5:31)

    Start

    Project Setup on Windows III (66:43)

    Start

    Project Setup on Windows IV (83:58)

    Start

    Capstone Practice Lab: Develop & Install Data Pipeline

    Start

    Data Engineering Best Practices
    Data Engineering Principles

    Start

    Data Governance
    Data Governance

    Start

    Module 14: Experimentation
    Introduction (1:42)

    Start

    Experimentation Origins and Benefits (4:17)

    Start

    Product Experimentation Framework (0:56)

    Start

    Hypothesis Design (6:08)

    Start

    Experiment Design (9:40)

    Start

    Experimentation Pre-Launch Checklist (4:40)

    Start

    Product Roadmap & Experiments (3:38)

    Start

    Statistics of Hypothesis Testing (7:07)

    Start

    Biases (4:08)

    Start

    Capstone Part 9: Develop Your Experimentation Strategy

    Start

    Module 15: Data PM Hands-on Lab
    Introduction (1:09)

    Start

    Cohort Analysis Part I (1:46)

    Start

    Cohort Analysis Part II (22:38)

    Start

    Regression Analysis - Python (13:38)

    Start

    Regression Analysis - SQL (8:46)

    Start

    Retention Analysis (14:18)

    Start

    AI Flywheel

    Start

    Module 16: Data PM Resume and Interview Strategy
    Data PM Interview Q&A

    Start

    How to Create a Data PM Resume

    Start

    This course has no prerequisites and you do not need a data or technical background

    • You should NOT take this course if:
      • You are already an experienced data product manager
      • You aren’t willing to spend 30 minutes to 1 hour every day for only 3 weeks to complete course content and work on your PM project
    • You SHOULD take this course if:
      • You are curious about data product management and want to learn more about the role and responsibilities
      • You have no prior experience and you want to transition into a Data Product Management role
      • You are trying to determine if the Data PM role is right for you
      • You are beginning your career in tech or are making a career change

    Data Product Manager Certification Course

    Get reimbursed for Data Product Manager Certification Course
    Data Product Manager Certification Course
    Fast-track your career by becoming a Certified Data Product Manager
    $499
    1 Certificate Program
    Get Access
    • 1 Certificate Program
    • Exclusive content
    • Community & (live) events
    • 30-day money-back guarantee
    Best Investment
    All Access
    Become a continuous learner and stay up-to-date with in-demand product management skills
    $799
    11 Certificate Programs
    Enroll Now
    • 11 Certificate Programs
    • Exclusive content
    • Community & (live) events
    • 30-day money-back guarantee
    • Personal coaching
    • Competency assessments

    Testimonials

    Michal S., Lead Product Manager @ Pipedrive
    Michal S
    Lead Product Manager
    "The explanations are clear and understandable, even if you don’t have any technical background. - 5/5 stars"
    Pipedrive logo
    Kim Mitchell-Williams
    Human Resources Specialist
    "I truly enjoyed the course and look forward to receiving my certification."
    Victoria Naef Image
    Victoria Naef
    Growth Product Manager
    "I took the course to get better at measuring results from implementing new features. I can confidently say it's helped me do just that.
    The Product Company Logo
    Prateek Bhatnagar
    Scrum Master
    “The community connections are excellent; when you are stuck and need help, everyone is just a message away."

    Our Alumni Work at These Companies

    Sample Course Video Screenshots:
    Data Platform

    Frequently Asked Questions

    + - What is Product HQ?

    Product HQ is an independent PM community and certification center. Our community consists of some of the best established and upcoming product managers from around the world.

    PHQ organizes and administers the PHQ Product Manager Certification program. This online course helps candidates develop a high-level understanding of PM fundamentals and prepares them for a career as a product manager.

    Major publications such as Forbes, Product Hunt, Huffington Post, AlphaUX, and Mattermark have extensively covered our work. PHQ also stands out as one of the top PM communities in the world, with global sponsors including Facebook, TechCrunch, Hired, SaaStr, Notion, Amplitude, and more.

    + - What is a data product management course?

    A data product management credential is given to candidates who successfully complete the data product management certification course. These courses provide candidates with detailed coverage of the ins and outs of product management, paying particular attention to the frameworks, strategies, techniques, and skills associated with proper data product management and its implementation.

    + - How much does a data product manager make a year?

    According to June 2022 Glassdoor report, the average yearly salary of a data product manager is $112,704.
    There are a series of factors that influence the exact amount that a data product manager earns. These include the specific salary package at a company, the professional’s level of experience, and their academic qualifications.
    PM professionals with a data product management certificate such as PHQ’s Data PM Certification have a greater chance to reach or exceed the national average salary.

    + - What is the PHQ Data PM Certification?

    The Data PM Certification by Product HQ is a certification course that teaches PM fundamentals and takes you through the process of becoming a professional data product manager.
    In this course, you learn about the skills a modern data PM professional needs to succeed in the industry as well as how to develop, launch, and market a successful data product. You also find out how to market yourself as a viable applicant for data product manager roles and land a job as a data PM.

    + - How long does it take to complete PHQ Certification courses?

    Just like all of PHQ’s courses, there is no set timeline or deadline to finish the course. Candidates are free to learn at their own pace. That said, the course is structured in such a way that if you dedicate two (2) hours a day to the course, you should be able to complete it within one (1) month.

    + - How long do I have access to the course?

    After enrolling, you have free lifetime access to all of the content in the course for as long as you like across any and all devices you own.

    + - What if I am unhappy with the course?

    We would never want you to be unhappy! If you are unsatisfied with your purchase, contact us in the first 30 days and we will give you a full refund.

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