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 Now
                                      • DAYS
                                      • HRS
                                      • MIN
                                      • SEC
                                      • Estimated Time
                                        3 Months

                                        At 10 hours / week

                                      • Enroll by
                                        January 13, 2021

                                        Get access to the classroom immediately on enrollment

                                      • Prerequisites
                                        Prior Data Analysis & Product Management Experience Recommended

                                      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.

                                      Related Nanodegrees
                                      Prerequisite Knowledge

                                      Prior Data Analysis & Product Management Experience Recommended

                                      • Applying Data Science to Product Management

                                        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.

                                      • Establishing Data Infrastructure

                                        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.

                                      • Leveraging Data in Iterative Product Design

                                        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.

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                                      According to Glassdoor, annual salaries for Product Managers in the US average around $109,000.

                                      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.
                                      Career Services

                                      Career services

                                      You’ll have access to resume support, Github portfolio review and LinkedIn profile optimization to help you advance your career and land a high-paying role.
                                      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
                                      New
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                                      Student community
                                      Improved
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                                      Career services
                                      Resume support
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                                      Github review
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                                      Linkedin profile optimization
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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
                                      Get timely feedback on your projects
                                      Reviews By the numbers
                                      2000+ project reviewers
                                      1.8M projects reviewed
                                      4.85/5 reviewer ratings
                                      3 hour avg project review turnaround time
                                      Reviewer Services
                                      • Personalized feedback
                                      • Unlimited submissions and feedback loops
                                      • Practical tips and industry best practices
                                      • Additional suggested resources to improve
                                      GET STARTED WITH

                                      Data Product Manager

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                                      Learn
                                      Hone specialized skills in Product Management and build data products that position customers and businesses to thrive.
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                                      Average Time
                                      On average, successful students take undefined months to complete this program.
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                                      Benefits include
                                      • Real-world projects from industry experts
                                      • Technical mentor support
                                      • Career services

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                                      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 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 and 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?
                                        You will have access to this Nanodegree program for as long as your subscription remains active. The estimated time to complete this program can be found on the webpage and in the syllabus, and is based on the average amount of time we project that it takes a student to complete the projects and coursework. See the Terms of Use and FAQs for other policies regarding the terms of access to our Nanodegree programs.
                                      • 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
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