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Data Product Manager

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

3 months

Real-world Projects

Completion Certificate

Last Updated November 23, 2023

Skills you'll learn:
Data pipelines • Product KPIs • Cohort analysis • Data pipeline design
Prerequisites:
Basic descriptive statistics • Tableau proficiency • Basic spreadsheet use

Courses In This Program

Course 1 1 hour

Welcome to the Data Product Manager Nanodegree Program

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.

Lesson 2

Getting Help

You are starting a challenging but rewarding journey! Take 5 minutes to read how to get help with projects and content.

Course 2 4 weeks

Applying Data Science to Product Management

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

Introduction to Data Product Management

Find out about the rise of the data product manager with the explosion of information in recent years.

Lesson 2

Granularity, Distribution, and Modeling Data

Learn about the granularity, distribution and modeling of data, key areas to utilize in your data PM skill set.

Lesson 3

Trends, Enrichment, & Visualization

Establishing trends, enriching data, and visualizing that data are the next important areas in your data product manager journey.

Lesson 4 • Project

Flying Taxi Business Case Part 1 (Midterm)

You are responsible for bringing the first flying car taxi service to market by analyzing data and building a product proposal.

Lesson 5

Setting Product Objectives & Strategy

Learn how to set product objectives and strategy to drive your desired results.

Lesson 6

Proposal Synthesis & Design

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

Flying Taxi Business Case Final

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 4 weeks

Establishing Data Infrastructure

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

Introduction to Data Infrastructure

This is the Introduction to the Data Infrastructure Course.

Lesson 2

Introduction to Data Pipeline

Introduction to the concept of Data Pipelines, need for a data pipeline, and components of a data pipeline.

Lesson 3

Data Consumers

About systems, services or users who consume data

Lesson 4

Data Producers

This lesson is about systems or services that produce data.

Lesson 5

Data Strategy

Putting everything together to create the right data strategy for your situation.

Lesson 6 • Project

Build a Scalable Data Strategy

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

Leveraging Data in Iterative Product Design

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

Introduction to Iterative Design

In this lesson, you will be given an overview of the course.

Lesson 2

Choose & Measure KPIs for Live Products

In this lesson, you will learn how to choose and measure KPIs for different business models.

Lesson 3

Evaluate User Conversion Funnels

In this lesson, you will learn how to create user conversion funnels and apply it to product management.

Lesson 4

Apply User Segment Analysis

In this lesson, you will learn how to generate user segments and apply user segment analysis.

Lesson 5

Quantitative and Qualitative Data

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

A/B Test and Multivariate Test

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

Project: Create an Iterative Design Path

In this project, you will analyze the data from a previously run multivariate experiment to determine what is the next best step for Flyber.

Taught By The Best

Photo of 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.

Photo of 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.

Photo of 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.

Ratings & Reviews

Average Rating: 4.3 Stars

164 Reviews

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