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COURSE TWO OF THREE

Establishing Data Infrastructure

Learn how to make strategic decisions for your organization's data pipeline technology as you hone specialized skills in Data Product Management.
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  • Estimated Time
    1 Month

    At 10 hours / week

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  • 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!

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What You Will Learn

SYLLABUS

Establishing Data Infrastructure

Data product managers need to ensure that their products have the appropriate data pipelines in place so that data collected from users can be extracted, transformed, and loaded into a data lake or warehouse for use in 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, and create solutions for real-world data infrastructure problems.

Master the nuances of strategic decision-making for data pipeline technology.

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1 month to complete

Prerequisite Knowledge

Prior Data Analysis & Product Management Experience RecommendedSee detailed requirements.

  • Introduction to Data Pipelines

    Begin by understanding the importance and need of data pipelines and the various components of data pipelines, and learn how to organize data pipeline components to automate end-to-end data flow. Then, create conceptual data pipelines and conceptualize classic data problems that can be addressed by data pipelines.

  • Data Consumers

    Learn about primary data consumers, their data needs, and how to identify data consumers in an organization and their relevant data use cases. Develop an understanding of the components of a relational data model and apply relational data models to business scenarios.

  • Data Producers

    Learn how to create event data models and implement them to get business insights, and use data collected from event models to calculate product KPIs. Identify primary data producers in an organization and distinguish between backend data producers (SaaS, ERPs, and data stores) while also differentiating between types of data (structured vs. semi-structured vs. unstructured).

  • Data Strategy

    Understand the difference between ETL and ELT processes, distinguish between batch processing and stream processing, and learn to select the appropriate data processing components for a product based on data needs. Differentiate between a data warehouse and data lake, and between SQL and NoSQL databases, and determine the appropriate data storage components for a particular data infrastructure of a product based on data needs. Assess capabilities of various data warehousing options (build vs buy, cloud vs on-prem, open source vs proprietary, and insource vs outsource) to make strategic decisions for data infrastructure, and evaluate data security and compliance product use cases (PII, PCI, HIPAA, GDPR, and CCPA).

  • Final Project: Build a Scalable Data Strategy for Flyber

    In this project, you will act as a data product manager for Flyber, a fictional flying-taxi service, and create a data strategy to not only handle the massive amount of incoming data, but also process it to gain business insights. First, you will define the data needs of primary business stakeholders within the organization and create a data model to ensure the data collected supports those needs. Then, you will perform the necessary extraction and transformation of the data to make the data relevant to answer business questions. Finally, you will interpret data visualizations to understand the scale of Flyber’s data growth and choose an appropriate data warehouse to enable that growth.

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According to Paysa, the U.S. national base pay for a Product Manager is $125,000.

Learn with the best

Vaishali Agarwal
Vaishali Agarwal

PRODUCT MANAGER AT EXPEDIA

Vaishali has spent 12+ years in the tech eco-system with roles spanning product management and product development to content writing to coding. She is experienced in building platforms, high performance start-up divisions, streamlined operations, and managing customer expectations.

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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 two courses in the Nanodegree program - Applying Data Science to Product Management and Establishing Data Infrastructure.
  • If you enroll in either Course 1 or Course 2, 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% 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 and Establishing Data Infrastructure are the first two Courses in the highly-anticipated Data Product Manager Nanodegree program. For a limited time, you can get started on either of these courses 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:
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Become a Data Product Manager

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Get started with the second course in the Data Product Manager Nanodegree Program to hone specialized skills in data infrastructure.
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Save
Enroll in this course at 30% off and unlock 30% off the Data Product Manager Nanodegree program when it's available.
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Benefits include
  • Real-world projects from industry experts
  • Technical mentor support
  • Personal career coach & career services

30% OFF

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Enroll today for 30% off this course and unlock 30% off the complete 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 syllabus. With either Applying Data Science to Product Management or Establishing Data Infrastructure, you are getting early access to one of the 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 either Course 1, Applying Data Science to Product Management, or Course 2, Establishing Data Infrastructure, 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 either the Applying Data Science to Product Management Course or the Establishing Data Infrastructure 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 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?
    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 each Course?
    Both Applying Data Science to Product Management and Establishing Data Infrastructure are 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