Lesson 1
Data Product Manager Nanodegree Program Introduction
Welcome to Udacity! We're excited to share more about your Nanodegree and start this journey with you.
Nanodegree Program
Existing PMs wanting to get deeper tech expertise in the Data domain to be more self-sufficient during product development and maintenance process.
Existing PMs wanting to get deeper tech expertise in the Data domain to be more self-sufficient during product development and maintenance process.
Intermediate
2 months
Real-world Projects
Completion Certificate
Last Updated November 23, 2023
Skills you'll learn:
Prerequisites:
Course 1 • 1 day
Lesson 1
Welcome to Udacity! We're excited to share more about your Nanodegree and start this journey with you.
Lesson 2
You are starting a challenging but rewarding journey! Take 5 minutes to read how to get help with projects and content.
Course 2 • 3 weeks
In this course, you will apply the skills you learn to analyze data and create a business case in the form of a product proposal for a new flying taxi service in New York.
Lesson 1
Find out about the rise of the data product manager with the explosion of information in recent years.
Lesson 2
Learn about the granularity, distribution and modeling of data, key areas to utilize in your data PM skill set.
Lesson 3
Establishing trends, enriching data, and visualizing that data are the next important areas in your data product manager journey.
Lesson 4 • Project
You are responsible for bringing the first flying car taxi service to market by analyzing data and building a product proposal.
Lesson 5
Learn how to set product objectives and strategy to drive your desired results.
Lesson 6
Your product proposal is a crucial piece of getting a product to market - learn here how to synthesize and design your presentation.
Lesson 7 • Project
Building on your previous research for a Flying Car Business Case, determine KPIs and an MVP en route to a fully fledged product proposal.
Course 3 • 3 weeks
Building the right data infrastructure for your business is critical in today’s world in order to scale and deliver the quality and features your customers need. In this course you’ll learn how to identify your product’s data producers, anticipate the needs of your product’s data producers and work with your stakeholders to put together the right data pipeline to support your data needs. In the project you’ll put these skills together to create a data infrastructure plan for a new and exciting startup that will support its rapidly changing environment data requirements.
Lesson 1
This is the Introduction to the Data Infrastructure Course.
Lesson 2
Introduction to the concept of Data Pipelines, need for a data pipeline, and components of a data pipeline.
Lesson 3
About systems, services or users who consume data
Lesson 4
This lesson is about systems or services that produce data.
Lesson 5
Putting everything together to create the right data strategy for your situation.
Lesson 6 • Project
Flyber has been growing and now it needs a scalable data strategy. It is your job to create that data strategy.
Course 4 • 4 weeks
In this course, you will learn how to apply conversion funnels, perform segment analysis, and use both quantitative and qualitative data in the iterative design cycle to improve your product. In the project, you will have the opportunity to apply the skills you learn to identify areas for product improvements and design a future plan.
Lesson 1
In this lesson, you will be given an overview of the course.
Lesson 2
In this lesson, you will learn how to choose and measure KPIs for different business models.
Lesson 3
In this lesson, you will learn how to create user conversion funnels and apply it to product management.
Lesson 4
In this lesson, you will learn how to generate user segments and apply user segment analysis.
Lesson 5
In this lesson, you will learn the benefits and drawbacks of quantitative and qualitative data and how to integrate data into the iterative design lifecycle.
Lesson 6
In this lesson, you will learn the A/B test, multivariate test, how to evaluate the test and respond to the test results.
Lesson 7 • Project
In this project, you will analyze the data from a previously run multivariate experiment to determine what is the next best step for Flyber.
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.
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.
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.
Average Rating: 4.3 Stars
164 Reviews
Abdulrahman Nasser D.
December 10, 2022
It was good
Amir Hossein B.
October 28, 2022
Great Course!! As a Product Manager, it is important to utilize the data to build the right products and features!!
Anonymous
October 2, 2022
Great at linking theory to practice so far!
Gervasio Braga P.
September 30, 2022
all good!
Aesha A.
July 16, 2022
Match my looking learning points
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