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Steve Ganem, Todd Kerpelman, Jessica Lin, and Daniel Mai

Take Udacity's free Firebase Analytics course for Android and learn how to grow an app's user base and gain valuable insights. Learn online with Udacity.

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What's inside

Syllabus

In this lesson, we will take on the role of the developer for a live app: Flood-It! We will discuss the foundations of digital analytics using Flood-It! as a model.
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Learn about the Firebase Analytics Dashboard and how to view the data collected by your apps. Also, learn how to build audiences and funnels by leveraging events with Firebase Analytics.
Learn how to use built-in events provided by Firebase Analytics and implement some of your own. Then, see how easy it is to tailor an app experience to segments of users with User Properties.
In this lesson, you'll build upon what you've learned about Firebase Analytics and explore crash reporting, remote configuration, and dynamic links — a suite of powerful tools for improving your apps.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Designed for learners who are interested in accruing users for their apps while also learning about its metrics
Suitable for intermediate learners who have experience developing apps
Taught by instructors who are renowned for their work in the field of app development

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Firebase Analytics: Android with these activities:
Review Basic Statistics Concepts
Ensure a strong foundation in basic statistics to enhance your ability to interpret and draw meaningful insights from the data collected by Firebase Analytics.
Browse courses on Statistics
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  • Review concepts of mean, median, and mode
  • Refresh your knowledge of probability and sampling
  • Practice calculating and interpreting basic statistics
Explore Firebase Analytics Documentation
Familiarize yourself with the official Firebase Analytics documentation to understand its capabilities and best practices.
Show steps
  • Review the Firebase Analytics documentation overview
  • Explore specific sections relevant to your app's needs
  • Bookmark or save key resources for future reference
Read 'The Lean Analytics Handbook'
Gain a solid understanding of the principles and practices of lean analytics, which can help you prioritize and measure what matters most for your app.
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Five other activities
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Discuss Firebase Analytics Best Practices
Engage with fellow learners to share and discuss best practices for implementing and leveraging Firebase Analytics in your app.
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  • Join a peer session or study group
  • Share your experiences and knowledge
  • Learn from others' insights and perspectives
  • Identify areas for improvement in your own app
Develop a Firebase Analytics Implementation Plan
Plan your Firebase Analytics implementation strategically by creating a detailed document outlining your goals, events, and data collection strategy.
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  • Define your analytics goals and target metrics
  • Identify key user actions and events to track
  • Determine the data collection strategy and sampling plan
  • Create a timeline and budget for implementation
Develop a User Flow for Firebase Analytics
Create a visual representation of the user journey through your app, incorporating Firebase Analytics events to measure key interactions.
Show steps
  • Identify key user actions and touchpoints
  • Map out the user flow, including screens and transitions
  • Integrate Firebase Analytics events at relevant touchpoints
  • Review the resulting user flow and make improvements
Analyze Sample App Data in Firebase Analytics
Gain hands-on experience interpreting and analyzing data in the Firebase Analytics Dashboard, using sample app data.
Browse courses on Data Analysis
Show steps
  • Access the Firebase Analytics Dashboard
  • Examine key metrics and reports
  • Identify trends and patterns in user behavior
  • Draw insights and make recommendations for improvement
Build and Track an App Using Firebase Analytics
Create a practical project by building a simple app, integrating Firebase Analytics, and tracking key metrics to measure user engagement.
Browse courses on App Development
Show steps
  • Choose a project idea and define the scope
  • Set up your Firebase Analytics account and integrate it with your app
  • Implement Firebase Analytics events to track user actions
  • Monitor your app's performance using the Firebase Analytics Dashboard
  • Analyze data and iterate to improve user engagement

Career center

Learners who complete Firebase Analytics: Android will develop knowledge and skills that may be useful to these careers:
Data Scientist
A Data Scientist uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from data in various forms, both structured and unstructured. This course may be useful because it will help you become more familiar with the Google Cloud platform, which Firebase is a part of.
Web Developer
A Web Developer builds and maintains websites and web applications. This course may be useful because it will help you become more familiar with Firebase Analytics, a common tool used by web developers.
Cloud Engineer
A Cloud Engineer is responsible for managing, securing, and maintaining cloud-based systems and applications. This course may be useful because it will help you become more familiar with the Google Cloud platform, which Firebase is a part of.
Software Developer
A Software Developer designs, develops, and maintains software systems and applications. This course may be useful because it will help you become more familiar with Firebase Analytics, a common tool used by software developers.
UI/UX Designer
A UI/UX Designer is responsible for designing the user interface and user experience of a software product. This course may be useful because it will help you become more familiar with Firebase Analytics, a common tool used by UI/UX designers.
Mobile App Developer
A Mobile App Developer is a software developer who specializes in the creation of mobile applications. This course may be useful because it will help you become more familiar with Firebase Analytics, a common tool used by mobile app developers.
Game Developer
A Game Developer is a creative role that is responsible for developing games for a variety of platforms, including computers, mobile phones, and gaming consoles. This course may be useful because it will help you become more familiar with Firebase Analytics, a common tool used by Game Developers.
Application Developer
An Application Developer is a bridge between business and technology. An app developer may work as part of a team to translate business requirements into technical specifications for writing and testing computer applications. This course may be useful because it will help you become more familiar with Firebase Analytics, a common tool used by app developers.
Web Analyst
A Web Analyst uses data to analyze the performance of a website or web application, and then uses analysis to make recommendations for improving the site or app. This course may be useful because it helps build a foundation in digital analytics. Specifically, you will learn about using Firebase Analytic's dashboard to view the data collected by your apps and build audiences and funnels by leveraging events with Firebase Analytics.
Digital Marketing Manager
A Digital Marketing Manager is responsible for the online presence of a brand, product, or service. This role uses data like traffic, engagement, and conversions to make data-driven decisions about how to best capture customers. This course may be useful because it helps build a foundation in digital analytics and will help you use common tools of the field, like building audiences and funnels with Firebase Analytics.
Marketing Analyst
A Marketing Analyst uses digital analytics and other techniques to analyze marketing performance and provide recommendations for improving marketing efforts. This course will help you begin using some of the common tools of Marketing Analysts, such Firebase Analytics, and will help you build a foundation in digital analytics.
Product Manager
A Product Manager is responsible for managing the life cycle of a product, from concept, through development, to launch, and beyond. This course may be useful because it helps build a foundation in digital analytics. Specifically, you will learn about using Firebase Analytic's dashboard to view the data collected by your apps and build audiences and funnels by leveraging events with Firebase Analytics.
Product Marketing Manager
A Product Marketing Manager is responsible for understanding the product, its target market, and its competitive landscape. This course may be useful because it helps build a foundation in digital analytics. Specifically, you will learn about Firebase Analytic's dashboard to view the data collected by your apps and build audiences and funnels by leveraging events with Firebase Analytics.
Data Analyst
A Data Analyst uses techniques of statistical analysis to analyze large data sets and present the results of those analyses to help businesses make informed decisions. This course may be useful because it helps build a foundation in digital analytics. Specifically, you will learn about using Firebase Analytic's dashboard to view the data collected by your apps and build audiences and funnels by leveraging events with Firebase Analytics.
Data Engineer
A Data Engineer makes it possible for Data Analysts and Data Scientists to work with data. This work includes collecting raw data, cleaning and validating it, and organizing it for analysis. This course may be useful because it helps build a foundation in digital analytics. Specifically, you will learn about using Firebase Analytic's dashboard to view the data collected by your apps and build audiences and funnels by leveraging events with Firebase Analytics.

Reading list

We've selected 11 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Firebase Analytics: Android.
Classic text on statistical learning, covering the basics of data mining, inference, and prediction. It useful resource for developers who want to learn more about the underlying theory of data analytics.
Provides a comprehensive guide to machine learning with Python, covering the basics of data preparation, model selection, and evaluation. It useful resource for developers who want to learn more about how to use Python for machine learning.
Provides a framework for developing and testing new products and services, which can be applied to the development of mobile apps. It is particularly useful for understanding the importance of customer feedback and iteration.
Provides a comprehensive guide to machine learning with Python, covering the basics of data preparation, model selection, and evaluation. It useful resource for developers who want to learn more about how to use Python for machine learning.
Provides a comprehensive guide to deep learning with TensorFlow, covering the basics of neural networks and how to build and train them in Python. It useful resource for developers who want to learn more about how to use TensorFlow for deep learning.
Provides a comprehensive guide to deep learning with Python, covering the basics of neural networks and how to build and train them in Python. It useful resource for developers who want to learn more about how to use deep learning for a variety of tasks.
Comprehensive guide to improving the performance of Android apps. It covers a wide range of topics, including how to identify and fix performance bottlenecks, how to use performance tools, and how to write performance-efficient Android code.
Comprehensive guide to building Android apps with Kotlin. It covers a wide range of topics, including the basics of Kotlin, Android development, and Firebase integration.
Provides a practical guide to using Pandas for data analysis. It useful resource for developers who want to learn more about how to use Pandas to manipulate and analyze data.
Fun and easy-to-read introduction to Kotlin. It covers the basics of Kotlin, such as variables, data types, and control flow.

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