Nanodegree key: nd030
Version: 1.0.0
Locale: en-us
Existing PMs wanting to get deeper tech expertise in the Data domain to be more self-sufficient during product development and maintenance process.
Content
Part 01 : Welcome to the Data Product Manager Nanodegree Program
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Module 01: Welcome to the Data Product Manager Nanodegree Program
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Lesson 01: Data Product Manager Nanodegree Program Introduction
Welcome to Udacity! We're excited to share more about your Nanodegree and start this journey with you.
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Lesson 02: Knowledge, Community, and Careers
You are starting a challenging but rewarding journey! Take 5 minutes to read how to get help with projects and content.
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Part 02 : 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.
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Module 01: Applying Data Science to Product Management
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Lesson 01: Introduction to Data Product Management
Find out about the rise of the data product manager with the explosion of information in recent years.
- Concept 01: Meet Your Instructor
- Concept 02: Prerequisites
- Concept 03: Introduction & History of Data Product Management
- Concept 04: Applying Data Science to Product Management Is Important
- Concept 05: Business Stakeholders
- Concept 06: Product Management Fundamentals
- Concept 07: Course Outline
- Concept 08: Tools, Environment & Dependencies
- Concept 09: Project: Flyber
- Concept 10: Recap
- Concept 11: Good Luck!
- Concept 12: Instructor Interview
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Lesson 02: Granularity, Distribution, and Modeling Data
Learn about the granularity, distribution and modeling of data, key areas to utilize in your data PM skill set.
- Concept 01: Granularity, Distribution, and Modelling of Data
- Concept 02: Big Picture
- Concept 03: What is Being Measured?
- Concept 04: Quiz: What is Being Measured?
- Concept 05: Exercise: What is Being Measured?
- Concept 06: Solution: What is Being Measured?
- Concept 07: Data Distribution
- Concept 08: Quiz: Data Distribution
- Concept 09: Exercise: Data Distribution
- Concept 10: Solution: Data Distribution
- Concept 11: How is the Data Modeled?
- Concept 12: Quiz: How is the Data Modeled?
- Concept 13: Exercise: How is the Data Modeled?
- Concept 14: Solution: How is the Data Modeled?
- Concept 15: Lesson Conclusion
- Concept 16: Glossary
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Lesson 03: Trends, Enrichment, & Visualization
Establishing trends, enriching data, and visualizing that data are the next important areas in your data product manager journey.
- Concept 01: Analyzing Trends, Enrichment, and Visualizing Data
- Concept 02: Big Picture
- Concept 03: Visualizations: Line Graphs & Donut Charts
- Concept 04: Quiz: Line Graphs & Donut Charts
- Concept 05: Exercise: Line Graphs & Donut Charts
- Concept 06: Solution: Line Graphs & Donut Charts
- Concept 07: Visualizations: Geospatial Data
- Concept 08: Quiz: Geospatial Data
- Concept 09: Exercise: Geospatial Data
- Concept 10: Solution: Geospatial Data
- Concept 11: Visualizations: Box Plots & Histograms
- Concept 12: Quiz: Box Plots & Histograms
- Concept 13: Exercise: Box Plots & Histograms
- Concept 14: Solution: Box Plots & Histograms
- Concept 15: Data Enrichment
- Concept 16: Exercise: Data Enrichment
- Concept 17: Solution: Data Enrichment
- Concept 18: Lesson Conclusion
- Concept 19: Glossary
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Lesson 04: 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.
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Lesson 05: Setting Product Objectives & Strategy
Learn how to set product objectives and strategy to drive your desired results.
- Concept 01: Setting Product Objectives & Strategy
- Concept 02: Creating Product Objectives
- Concept 03: Quiz: Creating Product Objectives
- Concept 04: Exercise: Creating Product Objectives
- Concept 05: Solution: Creating Product Objectives
- Concept 06: Setting KPIs
- Concept 07: Quiz: Setting KPIs
- Concept 08: Exercise: Setting KPIs
- Concept 09: Solution: Setting KPIs
- Concept 10: Experiment Design
- Concept 11: Quiz: Experiment Design
- Concept 12: Developing Instrumentation Strategy
- Concept 13: Quiz: Developing Instrumentation Strategy
- Concept 14: Exercise: Developing Instrumentation Strategy
- Concept 15: Solution: Developing Instrumentation Strategy
- Concept 16: Designing Features that Gather Explicit Feedback
- Concept 17: Quiz: Designing Features that Gather Explicit Feedback
- Concept 18: Exercise: Designing Features that Gather Explicit Feedback
- Concept 19: Solution: Designing Features that Gather Explicit Feedback
- Concept 20: Lesson Conclusion
- Concept 21: Glossary
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Lesson 06: 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.
- Concept 01: Proposal Synthesis & Design
- Concept 02: Key Product Proposal Points
- Concept 03: Quiz: Key Product Proposal Points
- Concept 04: Exercise: Key Product Proposal Points
- Concept 05: Solution: Key Product Proposal Points
- Concept 06: Data Visualizations in Product Proposals
- Concept 07: Quiz: Data Visualizations in Product Proposals
- Concept 08: Exercise: Data Visualizations in Product Proposals
- Concept 09: Solution: Data Visualizations in Product Proposals
- Concept 10: Exercise: Exploratory Analyses
- Concept 11: Solution: Exploratory Analyses
- Concept 12: Lesson Conclusion
- Concept 13: Glossary
- Concept 14: Course Conclusion
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Lesson 07: 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.
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Part 03 : 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.
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Module 01: Establishing Data Infrastructure
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Lesson 01: Introduction to Data Infrastructure
This is the Introduction to the Data Infrastructure Course.
- Concept 01: Instructor Introduction
- Concept 02: What is DI?
- Concept 03: Why is DI important?
- Concept 04: Who is DI relevant to?
- Concept 05: What is the historical context of DI?
- Concept 06: Course Topics
- Concept 07: Relevant tools that students might use?
- Concept 08: Project Introduction
- Concept 09: Lesson Recap
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Lesson 02: Introduction to Data Pipeline
Introduction to the concept of Data Pipelines, need for a data pipeline, and components of a data pipeline.
- Concept 01: Data Pipeline
- Concept 02: What a Data Pipeline Is
- Concept 03: Pipeline Quiz Solution
- Concept 04: Need for Data Pipelines
- Concept 05: Knapsack DP Solution
- Concept 06: Data Pipeline Components
- Concept 07: Knapsack DP Components
- Concept 08: Bringing it all together
- Concept 09: Alex Solution
- Concept 10: Wrap Up
- Concept 11: Lesson Terms & Resources
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Lesson 03: Data Consumers
About systems, services or users who consume data
- Concept 01: Lesson Intro
- Concept 02: Getting Setup for the Exercises in this Course
- Concept 03: Data Consumer
- Concept 04: Consumers Solution
- Concept 05: Data Use-cases
- Concept 06: ID Use-case Solution
- Concept 07: Entity Data Part 1
- Concept 08: Entity Data Quiz Solution
- Concept 09: Entity Data Part 2
- Concept 10: Event Data
- Concept 11: Data Needs Activity
- Concept 12: Solution
- Concept 13: Bringing it All Together
- Concept 14: Peer-to-Peer Car Sharing Solution
- Concept 15: Data Consumers Recap
- Concept 16: Glossary & Resources
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Lesson 04: Data Producers
This lesson is about systems or services that produce data.
- Concept 01: Data Producers
- Concept 02: Data Producer
- Concept 03: Event Data
- Concept 04: Event Data Modeling
- Concept 05: Knapsack Solution
- Concept 06: Other Type of Producers
- Concept 07: ERP and CRMs
- Concept 08: OLTP Contd...
- Concept 09: Solution Data Producers
- Concept 10: Data Structures
- Concept 11: Knapsack Data Solution
- Concept 12: Bringing it All Together
- Concept 13: Solution to Elliptical Quiz
- Concept 14: Data Producers Recap
- Concept 15: Glossary & Resources
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Lesson 05: Data Strategy
Putting everything together to create the right data strategy for your situation.
- Concept 01: Lesson Intro
- Concept 02: ETL
- Concept 03: Challenges with ETL
- Concept 04: When to use ETL
- Concept 05: ELT
- Concept 06: Challenges with ELT
- Concept 07: When to use ELT
- Concept 08: Data Processing Strategy
- Concept 09: Data Processing Strategy Solution
- Concept 10: Data Storage
- Concept 11: Database Selection Criterion
- Concept 12: Data Warehouse
- Concept 13: When to use Data Warehouse
- Concept 14: Data Lake
- Concept 15: When to use Data Lake
- Concept 16: Data Warehouse vs Data Lake
- Concept 17: Data Storage Elements Solution
- Concept 18: Build vs Buy
- Concept 19: Open Source vs Commercial
- Concept 20: Cloud vs On-Prem
- Concept 21: In-house vs Outsource
- Concept 22: Security and Compliance
- Concept 23: Knapsack Data Strategy Proposal
- Concept 24: Solution Data Strategy Proposal
- Concept 25: Data Infrastructure Strategy Recap
- Concept 26: Course Overview
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Lesson 06: 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.
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Part 04 : 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.
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Module 01: Leveraging Data in Iterative Product Design
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Lesson 01: Introduction to Iterative Design
In this lesson, you will be given an overview of the course.
- Concept 01: Meet Your Instructor
- Concept 02: Introduction
- Concept 03: Course Preview
- Concept 04: Lesson Outline
- Concept 05: Introduction to Iterative Design
- Concept 06: Iterative Design for Data Product Managers
- Concept 07: Business Stakeholders
- Concept 08: History of Iterative Design
- Concept 09: History of Iterative Design Quizzes
- Concept 10: Project Introduction
- Concept 11: Recap
- Concept 12: Good Luck!
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Lesson 02: Choose & Measure KPIs for Live Products
In this lesson, you will learn how to choose and measure KPIs for different business models.
- Concept 01: Choosing & Measuring KPIs for Live Products
- Concept 02: Big Picture
- Concept 03: Developing Your Intuition About Metrics
- Concept 04: Lesson Outline
- Concept 05: KPIs for Different Business Models
- Concept 06: KPIs for Different Business Models Quizzes
- Concept 07: Exercise 1: KPIs for Different Business Models
- Concept 08: Solution: KPIs for Different Business Models Exercise
- Concept 09: Identify and Calculate KPIs in Customers' Journey
- Concept 10: Identify and Calculate KPIs in Customers' Journey Quizzes
- Concept 11: Exercise 2: Identify and Calculate KPI in Customers' Journey
- Concept 12: Solution: Identify and Calculate KPIs in Customers' Journey
- Concept 13: Instrument and Collect Data at Feature-Level
- Concept 14: Instrument and Collect Data at Feature-Level Quizzes
- Concept 15: Exercise 3: Instrument and Collect Data at Feature-Level
- Concept 16: Solution: Instrument and Collect Data at Feature-Level
- Concept 17: Lesson Conclusion
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Lesson 03: Evaluate User Conversion Funnels
In this lesson, you will learn how to create user conversion funnels and apply it to product management.
- Concept 01: Evaluate User Conversion Funnels
- Concept 02: Big Picture / Intuition
- Concept 03: Lesson Outline
- Concept 04: User Conversion Funnels
- Concept 05: User Conversion Funnels Quizzes
- Concept 06: Exercise 1: User Conversion Funnels
- Concept 07: Solution: User Conversion Funnels Exercise Solution
- Concept 08: Calculate Funnel Drop Off in Tableau
- Concept 09: Calculate Funnel Drop Off in Tableau Quizzes
- Concept 10: Exercise 2: Calculate Funnel Drop Off in Tableau
- Concept 11: Solution: Calculate Funnel Drop Off in Tableau Exercise
- Concept 12: Visualize Funnel Drop Off in Tableau
- Concept 13: Visualize Funnel Drop Off in Tableau Quizzes
- Concept 14: Exercise 3: Visualize Funnel Drop Off in Tableau
- Concept 15: Solution: Visualize Funnel Drop Off in Tableau Exercise
- Concept 16: Lesson Conclusion
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Lesson 04: Apply User Segment Analysis
In this lesson, you will learn how to generate user segments and apply user segment analysis.
- Concept 01: Apply User Segment Analysis
- Concept 02: Big Picture / Intuition
- Concept 03: Lesson Outline
- Concept 04: Segment User Data
- Concept 05: Segment User Data Quizzes
- Concept 06: Attribute in Segment Analysis Quizzes
- Concept 07: Exercise 1: Segment User Data
- Concept 08: Solution: Segment User Data Exercise 1
- Concept 09: Exercise 2: Segment User Data
- Concept 10: Solution: Segment User Data Exercise 2
- Concept 11: Analyze User Segment Performance in Funnels
- Concept 12: Analyze User Segment Performance in Funnels Quizzes
- Concept 13: Exercise 3: Analyze User Segment Performance in Funnels
- Concept 14: Solution: Analyze User Segment Performance in Funnels
- Concept 15: Analyze User Segment Performance in Feature Usage
- Concept 16: Analyze User Segment Performance in Feature Usage Quizzes
- Concept 17: Exercise 4: Analyze User Segment Performance in Feature
- Concept 18: Solution: Analyze User Segment Performance in Feature
- Concept 19: Lesson Conclusion
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Lesson 05: 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.
- Concept 01: Quantitative and Qualitative Data
- Concept 02: Big Picture / Intuition
- Concept 03: Lesson Outline
- Concept 04: Benefits and Drawbacks of Different Data
- Concept 05: Benefits and Drawbacks of Different Data Quizzes
- Concept 06: Integrate Data into Iterative Design
- Concept 07: Integrate Data into Iterative Design Quizzes
- Concept 08: Exercise 1: Integrate Qualitative Data into Iterative Design
- Concept 09: Solution: Integrate Qualitative Data into Iterative Design
- Concept 10: Qualitative Research Methods
- Concept 11: Qualitative Research Methods Quizzes
- Concept 12: Jobs to Be Done Framework
- Concept 13: Jobs to Be Done Framework Quizzes
- Concept 14: Exercise 2: Jobs to Be Done Framework
- Concept 15: Solution: Jobs to Be Done Framework Exercise
- Concept 16: Narrow Scope with the RICE Framework
- Concept 17: Narrow Scope with the RICE Framework Quizzes
- Concept 18: Exercise 3: Narrow Scope with the RICE Framework
- Concept 19: Solution: Narrow Scope with the RICE Framework Exercise
- Concept 20: Lesson Conclusion
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Lesson 06: 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.
- Concept 01: A/B Test and Multivariate Test
- Concept 02: Big Picture / Intuition
- Concept 03: Lesson Outline
- Concept 04: Benefits and Drawbacks of Different Tests
- Concept 05: Benefits and Drawbacks of Different Test Quizzes
- Concept 06: Exercise 1: Select Between A/B and Multivariate Tests
- Concept 07: Solution: Select Between A/B and Multivariate Tests Exercise
- Concept 08: Track User Actions During Testing
- Concept 09: Track User Actions During Testing Quizzes
- Concept 10: Exercise 2: Track User Actions During Testing
- Concept 11: Solution: Track User Actions During Testing Exercise
- Concept 12: Ensure Unbiased Control & Test Groups
- Concept 13: Ensure Unbiased Control & Test Groups Quizzes
- Concept 14: Exercise 3: Ensure Unbiased Control & Test Groups
- Concept 15: Solution: Ensure Unbiased Control & Test Groups Exercise
- Concept 16: Calculate & Respond to Test Results
- Concept 17: Calculate & Respond to Test Results Quizzes
- Concept 18: Exercise 4: Calculate & Respond to Test Results
- Concept 19: Solution: Calculate & Respond to Test Results Exercise
- Concept 20: Lesson Conclusion
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Lesson 07: 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.
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Part 05 : Career Services
The Careers team at Udacity is here to help you move forward in your career - whether it's finding a new job, exploring a new career path, or applying new skills to your current job.
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Module 01: Career Services
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Lesson 01: Take 30 Min to Improve your LinkedIn
Find your next job or connect with industry peers on LinkedIn. Ensure your profile attracts relevant leads that will grow your professional network.
- Concept 01: Get Opportunities with LinkedIn
- Concept 02: Use Your Story to Stand Out
- Concept 03: Why Use an Elevator Pitch
- Concept 04: Create Your Elevator Pitch
- Concept 05: Use Your Elevator Pitch on LinkedIn
- Concept 06: Create Your Profile With SEO In Mind
- Concept 07: Profile Essentials
- Concept 08: Work Experiences & Accomplishments
- Concept 09: Build and Strengthen Your Network
- Concept 10: Reaching Out on LinkedIn
- Concept 11: Boost Your Visibility
- Concept 12: Up Next
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