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.
04Days08Hrs47Min08Sec
At 10 hours / week
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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.
Prior Data Analysis & Product Management Experience Recommended
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.
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.
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.
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 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 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.
With real-world projects and immersive content built in partnership with top-tier companies, you’ll master the tech skills companies want.
Our knowledgeable mentors guide your learning and are focused on answering your questions, motivating you, and keeping you on track.
You’ll have access to Github portfolio review and LinkedIn profile optimization to help you advance your career and land a high-paying role.
Tailor a learning plan that fits your busy life. Learn at your own pace and reach your personal goals on the schedule that works best for you.
We provide services customized for your needs at every step of your learning journey to ensure your success.
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Hone specialized skills in Product Management and build data products that position customers and businesses to thrive.
On average, successful students take 3 months to complete this program.
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.
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.
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.
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.
There is no application. This Nanodegree program accepts everyone, regardless of experience and specific background.
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.
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.
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.
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.
Please see the Udacity Program FAQs for policies on enrollment in our programs.
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: