NEW!
Nanodegree Program

Become a Data Product Manager

Leverage data to build products that deliver the right experiences, to the right users, at the right time. Lead the development of data-driven products that position businesses to win in their market.
Enroll Early & Save
  • Estimated Time
    3 Months

    At 10 hours / week

  • Full Nanodegree Program
    Coming Soon

    Available in Summer 2020

  • Prerequisites
    Prior Data Analysis & Product Management Experience Recommended

    See prerequisites in detail

Enroll today for 30% off this course and unlock 30% off the complete Data Product Manager Nanodegree program!

Limited Time Only

What You Will Learn

SYLLABUS

Data Product Manager

Leverage market data to amplify product development. Learn how to apply data science techniques, data engineering processes, and market experimentation tests to deliver customized product experiences. Begin by leveraging the power of SQL and Tableau to inform product strategy. Then, develop data pipelines and warehousing strategies that prepare data collected from a product for robust analysis. Finally, learn techniques for evaluating the data from live products, including how to design and execute various A/B and multivariate tests to shape the next iteration of a product.

Leverage data to build products that deliver the right experiences, to the right users, at the right time. Lead the development of data-driven products that position businesses to win in their market.

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3 months to complete

Prerequisite Knowledge

Prior Data Analysis & Product Management Experience RecommendedSee detailed requirements.

  • Applying Data Science to Product Management (Available Now!)

    As products become more digital, the amount of data collected is increasing. Product managers now have the opportunity to utilize this data to not only enhance existing products, but create completely new ones. Understand the role of data product managers within organizations and how they utilize data science, machine learning, and artificial intelligence to solve problems. Learn how to visualize your data with Tableau for statistical analysis and identify unique relationships between variables via hypothesis testing and modeling. Evaluate the output captured in statistical analyses and translate them into insights to inform product decisions.

    Develop a Data-Backed Product Proposal
  • Establishing Data Infrastructure (Coming Soon!)

    Products that collect data from its users can only leverage such data if it gets processed and stored properly. Data product managers need to ensure their products have the appropriate supporting data pipelines in place so that data collected from users can be extracted, transformed, and loaded into a data lake or warehouse that can be used for statistical analysis. Learn about data infrastructure components including data pipelines, data producers, data consumers, data storage, and data processing. Master the nuances of evaluating strategic decisions for data pipeline technology, including security and compliance. Apply learnings to make step-by-step decisions for data infrastructure of an organization. Create solutions for real-world data infrastructure problems and evaluate tradeoffs.

    Build a Scalable Data Strategy
  • Leveraging Data in Iterative Product Design (Coming Soon!)

    The best products adapt to market changes over time and are constantly being refined based on user feedback. With a robust data pipeline, the amount of data collected through product usage is extremely valuable to product managers for enhancing their products. Understand which data is best collected through quantitative versus qualitative methods, and how to interpret it. Learn how to apply chi-square tests to determine if results from data analysis are statistically significant. Utilize user data to create user personas that are actionable for development teams to translate into code and for building out user journey maps that describe the stages a user engages with the product along with the associated risks and opportunities. Extract insights from user journey maps to define KPIs of suggested product enhancements and design the relative hypotheses and experiments that are needed to prove the assumptions of product enhancements.

    Create an Iterative Design Path
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According to Paysa, the U.S. national base pay for a Product Manager is $125,000.

Learn with the best

JJ Miclat
JJ Miclat

Sr. Product Manager at Zendesk

JJ is a product leader obsessed with creating simple, novel solutions for the world’s most challenging issues. He’s sunk his teeth into analytics & data product management for Beats Music, Apple, VSCO, & Collective Health.

Vaishali Agarwal
Vaishali Agarwal

Product Manager at Expedia

Vaishali has 12+ years’ experience in tech eco-system ranging from product management, product development, content writing to coding. She is experienced in building platforms, high performance start-up divisions, streamlined operations, and managing customer expectations.

Anne Rynearson
Anne Rynearson

Sr. Product Manager at DISQO

Anne has 6+ years’ experience in product management in the software industry, including EdTech and market research industries. She is an agile leader experienced in launching and growing both consumer and enterprise-facing products.

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Limited Time Only: Enroll Early and Save 30%

The complete Data Product Manager Nanodegree program will be available for enrollment in 2020, but we're offering early access to the first course in the Nanodegree program - Applying Data Science to Product Management.
  • If you enroll in Course 1, you will receive 30% off your monthly subscription. You'll also get 30% off if you enroll in the complete Data Product Manager Nanodegree program when it becomes available.
  • Discounts are available for a limited time only. When the complete Nanodegree program is available, students will no longer be able to enroll in individual courses, nor will the 30% off discounts be available.
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What is a Course?

Udacity’s Nanodegree programs are comprised of a series of courses. Each course is a distinct unit of learning, typically ending in a project where students demonstrate mastery of the skills covered. The complete Data Product Manager Nanodegree program consists of three courses.

How Do Courses Work?

  • Applying Data Science to Product Management is the first Course in the highly-anticipated Data Product Manager Nanodegree program. For a limited time, you can get started on this course before the complete Nanodegree program is available.
  • Receive the same personalized services and support as you would in any other Udacity Nanodegree program.
  • Any progress you make in a course will transfer to your Nanodegree program when you enroll in the complete program.

All Our Programs Include

Real-world projects from industry experts

Real-world projects from industry experts

With real world projects and immersive content built in partnership with top tier companies, you’ll master the tech skills companies want.
Technical mentor support

Technical mentor support

Our knowledgeable mentors guide your learning and are focused on answering your questions, motivating you and keeping you on track.
Personal career coach and career services

Personal career coach and career services

You’ll have access to career coaching sessions, interview prep advice, and resume and online professional profile reviews to help you grow in your career.
Flexible learning program

Flexible learning program

Get a custom learning plan tailored to fit your busy life. Learn at your own pace and reach your personal goals on the schedule that works best for you.
Program OfferingsFull list of offerings included:
Enrollment includes:
Class Content
Real-world projects
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Project reviews
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Project feedback from experienced reviewers
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Student Services
Technical mentor support
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Student community
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Personal career coaching
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Succeed with Personalized Services
We provide services customized for your needs at every step of your learning journey to ensure your success!
Experienced Project Reviewers
Project Reviewers
Technical Mentor Support
Technical Mentor Support
Personal Career Coach
Career Coaching
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Reviews By the numbers
2000+ project reviewers
1.8M projects reviewed
4.85/5 reviewer ratings
3 hour avg project review turnaround time
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  • Unlimited submissions and feedback loops
  • Practical tips and industry best practices
  • Additional suggested resources to improve
Get Started Today

Enroll in Course One: Apply Data Science to Product Management

Enroll today in Course One for 30% off and unlock 30% off the complete Data Product Manager Nanodegree program!

Program Details

PROGRAM OVERVIEW - WHY SHOULD I TAKE THIS PROGRAM?
  • Why should I enroll?
    Product Manager is a top 5 job on LinkedIn's Most Promising Jobs for 2019, and one of the most coveted roles in large tech enterprises, as well as entrepreneurial startups. All products developed for today's market are data products - running on data-derived insights to provide the right experience, to the right user, at the right time. Companies like Amazon, Netflix, Google, and more are able to provide personalized and engaging experiences to users because they utilize data science, machine learning, and artificial intelligence to better meet user needs.

    In the Data Product Manager Nanodegree program, you will hone specialized skills in Product Management, a role with a starting base salary of $125,000 and be equipped to build products that leverage data to position customers and businesses to thrive. This program is designed for students who want to assume key leadership roles in data product development and strategy in their company.

    Leverage market data to amplify product development. Learn how to apply data science techniques, data engineering processes, and market experimentation tests to deliver customized product experiences. Begin by leveraging the power of SQL and Tableau to inform product strategy. Then, develop data pipelines and warehousing strategies that prepare data collected from a product for robust analysis. Finally, learn techniques for evaluating the data from live products, including how to design and execute various A/B and multivariate tests to shape the next iteration of a product.
  • How do I know if this program is right for me?
    This Nanodegree program is perfect for existing Product Managers, Data Science professionals, and Engineers who are already in data or product-focused roles and want to further their skillset, as well as those who wish to break into the data product domain and help build products that utilize data to provide better product experiences.

    In most of the digital products, data is used to enhance product lines, better meet customer needs, make products that customers actually want, or create for a more personalized experience. Data that are collected from a product can be fed into machine learning algorithms and used to improve the overall user journey. If you want to build data-driven products backed by scalable data strategies to deliver the right experience to the right users, at the right time, then this Nanodegree program is right for you.
  • What jobs will this program prepare me for?
    This program will equip you with the skills to assume data product manager roles. You’ll learn directly from experienced Product Managers at Zendesk, Expedia, and DISQO, who have constructed this Nanodegree program to equip you with the most in-demand and relevant industry skills.
  • What is a course? How is it different from a Nanodegree program?
    Udacity's Nanodegree programs are comprised of a series of courses. Each course is a distinct unit of learning, typically ending in a project where students demonstrate mastery of the skills covered. The Data Product Manager Nanodegree Program consists of three courses, outlined in the above syllabus. With the Applying Data Science to Product Management Course, you are getting early access to the first course in the Data Product Manager Nanodegree program.

    Students who enroll in a paid course will receive all the same support and services as students in Udacity’s Nanodegree programs. The main difference is that a course is a smaller unit of material - a typical Nanodegree program is comprised of 3 or 4 courses.

    Every course includes career services including a personal career coach, project reviews from industry professionals, technical mentor support so you can get help when you need it, and a flexible learning plan so you can learn at your own pace.
  • How do I get 30% off the Data Product Manager Nanodegree program?
    The Data Product Manager Nanodegree program is one of the first times Udacity has ever offered early access to a Nanodegree program by way of access to individual courses, so get a headstart on your Product Management toolkit today! The options for enrollment are:

    Option 1) Enroll today in Course 1, Applying Data Science to Product Management, at 30% off, AND unlock 30% off the Data Product Manager Nanodegree program when it’s available. Any progress you make in the course will transfer over into the Nanodegree program!

    Option 2) Wait until Fall 2020 and enroll in the complete Data Product Manager Nanodegree Program at full price.

    Please note that the following terms apply: Students who enroll in the Applying Data Science to Product Management Course will be eligible for 30% off each month of a monthly subscription to the Data Product Manager Nanodegree Program. Eligible students will automatically receive this offer via email when the Data Product Manager Nanodegree program is available. This discount may not be transferred to a different Nanodegree program or to another student, and may not be combined with other offers or redeemed for cash. Limitations apply. These terms are subject to change without notice.
  • What is the difference between the Product Manager, the Growth Product Manager, the Data Product Manager, and the AI Product Manager Nanodegree programs?
    The Product Manager Nanodegree program will equip you with the foundational skills to assume entry-level product manager roles. You’ll learn directly from experienced Product Managers at Uber and Google, who have constructed this Nanodegree program to equip you with the most in-demand and relevant industry skills. This Nanodegree program teaches the core skill set required in all Product Manager roles, which is the foundation for more specialized roles like Growth Product Manager, Data Product Manager, AI Product Manager, and more.

    The AI Product Manager Nanodegree program is meant for product managers that are responsible for building and deploying AI products. The AI PM Nanodegree program is focused on the hands-on tasks of scoping a data set, training a model, and evaluating the performance of the model.

    The Growth Product Manager Nanodegree program is meant for experienced Product Managers who are looking to specialize their skills in product management and be equipped to fill growth-focused roles. You’ll learn how to grow the user base of your product, get customers engaged and activated as quickly as possible, and monetize your product to have it generate revenue.

    The Data Product Manager Nanodegree program is meant for experienced Product Managers who are looking to specialize their skills in product management and be equipped to fill data-focused roles in the development and strategy behind data products. You'll learn how to build an MVP launch strategy for a new service product that utilizes market insights extracted from extensive data analyses and visualizations, develop a data model with corresponding data pipelines and transformations to evaluate user activity of a product, and identify key behavioral and descriptive attributes of users to construct hypotheses for new product features and experiments to validate these hypotheses.
ENROLLMENT AND ADMISSION
  • Do I need to apply? What are the admission criteria?
    There is no application. This Nanodegree program accepts everyone, regardless of experience and specific background.
  • What are the prerequisites for enrollment?
    No prior experience with data modeling & data engineering is required. However, a basic understanding of data terminology (i.e. big data, database, algorithms, etc.), some experience with data analysis (basic SQL & Tableau), and a general understanding of product management is helpful.
  • If I do not meet the requirements to enroll, what should I do?
    The following Nanodegree programs are not necessary to complete before starting this program, but could be helpful if you would like to prepare.

    You can check out the Product Manager Nanodegree program, SQL Nanodegree program, or the Programming for Data Science with Python Nanodegree program.
TUITION AND TERM OF PROGRAM
  • How is this Nanodegree program structured?
    The Data Product Manager Nanodegree program is comprised of content and curriculum to support three projects. Once you subscribe to a Nanodegree program, you will have access to the content and services for the length of time specified by your subscription. We estimate that students can complete the program in three months, working 10 hours per week.

    Each project will be reviewed by the Udacity reviewer network. Feedback will be provided and if you do not pass the project, you will be asked to resubmit the project until it passes.
  • How long is this Nanodegree program?
    Access to this Nanodegree program runs for the length of time specified in the payment card above. If you do not graduate within that time period, you will continue learning with month to month payments. See the Terms of Use and FAQs for other policies regarding the terms of access to our Nanodegree programs.
  • How long is Course 1?
    The Applying Data Science to Product Management Course, the first course in the Data Product Manager Nanodegree program, is comprised of content and curriculum to support one project. Once you subscribe to a course, you will have access to the content and services for the length of time specified by your subscription. We estimate that students can complete each course in one (1) month, working 10 hours per week.

    Each project will be reviewed by the Udacity reviewer network. Feedback will be provided and if you do not pass the project, you will be asked to resubmit the project until it passes.
  • Can I switch my start date? Can I get a refund?
    Please see the Udacity Program Terms of Use and FAQs for policies on enrollment in our programs.
SOFTWARE AND HARDWARE - WHAT DO I NEED FOR THIS PROGRAM?
  • What software and versions will I need in this program?
    You will need to use SQL, Tableau, Google Slides or Microsoft PowerPoint, and Google Sheets or Microsoft Excel, as well as have access to the internet and a 64-bit computer. You will also need access to a computer for which the requirements are:

    Minimum browser requirements are:
    • Chrome 49+
    • Firefox 57+
    • Safari 10.1+ (Apple - macOS)
    • Edge 14+ (Windows)
    Minimum operating system (OS) requirements are:
    • Windows 8.1 or later
    • Apple MacOS 10.10 (Yosemite) and later
    • Any Linux OS that supports the browsers mentioned above
    • Any Chrome OS that supports the browsers mentioned above